Showing posts with label 6G. Show all posts
Showing posts with label 6G. Show all posts

Thursday, 17 September 2026

Post-Quantum Cryptography in 3GPP

Quantum computing often appears in discussions about 6G, but one area where its impact is already influencing 3GPP work is security.

Many of the public-key cryptographic algorithms used today rely on mathematical problems that are extremely difficult for conventional computers but could be solved much more efficiently by a sufficiently powerful quantum computer. RSA, Diffie-Hellman and elliptic-curve cryptography are the main examples. This does not mean that a future quantum computer suddenly breaks all 5G security.

The most immediate concern is public-key cryptography. Symmetric mechanisms such as those used for 5G authentication, NAS security and PDCP protection are affected differently and remain considerably more resistant. The main quantum threat to symmetric cryptography comes from Grover's algorithm, which provides a theoretical quadratic speed-up rather than the much more dramatic impact that Shor's algorithm has on RSA and elliptic-curve cryptography.

For 3GPP, the issue is therefore not simply "make 5G quantum safe". The first task is to identify where vulnerable public-key cryptography appears across the system and determine which standards organisation is responsible for replacing it. This work is now well underway in 3GPP SA3.

The main study is 3GPP TR 33.703, Study on Transitioning to Post Quantum Cryptography (PQC) in 3GPP. The latest published version at the time of writing is V20.0.1, Release 20.

Importantly, the study is generation agnostic. PQC should therefore not be thought of as a 6G-only feature. It affects existing 5G systems, 5G-Advanced evolution and future 6G networks.

3GPP had already prepared for this work through TR 33.938, 3GPP Cryptographic Inventory, which identifies where cryptography is used across the 5G System. The inventory includes mechanisms such as TLS, IKEv2, PKI certificates, JOSE, COSE, ECIES, EAP-TLS, EAP-AKA', 5G-AKA, NAS security, PDCP security and MIKEY-SAKKE.

At a simplified level:

3GPP area Typical mechanism Quantum relevance
Subscriber identity privacy SUCI / ECIES Directly affected by elliptic-curve cryptography
Primary authentication 5G-AKA / EAP-AKA' Primarily symmetric cryptography
NAS / PDCP protection Symmetric encryption and integrity Different quantum-security considerations
5G Core interfaces TLS Public-key key establishment and signatures
IPsec interfaces IKEv2 / IPsec Public-key or DH key establishment
Certificates PKI / X.509 Public-key signatures
API and application security JOSE / COSE Signatures and key establishment
Mission Critical Services MIKEY-SAKKE Existing asymmetric key-management mechanism

This distinction is important because much of the cryptography used by 3GPP is actually defined elsewhere. TLS, IKEv2, JOSE, COSE and PKI are mainly developed in the IETF and related standards bodies. 3GPP therefore does not need to invent new post-quantum versions of those protocols. Instead, SA3 can adopt and profile PQC-capable versions as they mature.

TR 33.703 consequently separates protocols largely dependent on other standards organisations from mechanisms that are more directly controlled by 3GPP.

The most important 3GPP-specific case is SUCI, the Subscription Concealed Identifier. 5G introduced SUCI to avoid routinely transmitting a subscriber's permanent identity, the SUPI, over the air. For an IMSI-based subscription, the part identifying the subscriber is concealed using a home-network public key. The home operator provisions the relevant public-key information into the USIM, and the home network later recovers the subscriber identity using the corresponding private key.

The currently standardised public-key SUCI protection schemes use ECIES, the Elliptic Curve Integrated Encryption Scheme.

TS 33.501 defines:

Scheme Identifier Public-key mechanism
Null scheme 0x0 No concealment
Profile A 0x1 X25519 / Curve25519
Profile B 0x2 secp256r1
Future standardised schemes 0x3–0xB Reserved
Proprietary schemes 0xC–0xF Home-operator specific

A simplified existing SUCI procedure is:

UE / USIM                                  Home Network

HN public key
      │
      ▼
Generate ephemeral EC key pair
      │
      ▼
Perform ECDH
      │
      ▼
Shared secret
      │
      ▼
KDF
      │
      ├── Encryption key
      ├── Initial counter
      └── MAC key
      │
      ▼
Protect subscriber-specific identity
(e.g. MSIN for an IMSI-based SUPI)
      │
      ▼
Create SUCI
      │
      └──────────────────────────────────► SIDF
                                             │
                                             ▼
                                    Use HN private key
                                             │
                                             ▼
                               Verify protection and
                                  reconstruct SUPI

The symmetric AES encryption inside this procedure is not the main quantum problem. The vulnerable component is the elliptic-curve key agreement used to establish the shared secret. That makes SUCI particularly interesting from a 3GPP perspective because it cannot simply wait for TLS or IKEv2 to be updated elsewhere. 3GPP needs new SUCI protection mechanisms of its own.

This is one reason a large part of TR 33.703 is devoted to possible future SUCI constructions. The obvious candidate from the post-quantum world is ML-KEM, the Module-Lattice-Based Key Encapsulation Mechanism standardised by NIST in FIPS 203. ML-KEM is a Key Encapsulation Mechanism rather than a conventional public-key encryption algorithm.

The basic idea is:

Home Network creates:
  Public key
  Private key

UE receives HN public key
          │
          ▼
     ML-KEM Encaps
       /       \
      /         \
     ▼           ▼
Shared secret   KEM ciphertext
     │               │
     │               └────────────► Home Network
     │                                  │
     ▼                                  ▼
Derive keys                       ML-KEM Decaps
     │                                  │
     ▼                                  ▼
Conceal SUPI                     Same shared secret

The UE and home network end up with the same shared secret, which can then be used to derive keys for protecting the subscriber identity.

TR 33.703 studies both standalone PQC and hybrid approaches. With standalone PQC, a mechanism such as ML-KEM could replace the elliptic-curve key agreement completely. With a hybrid approach, the new post-quantum mechanism operates alongside the traditional one:

X25519 shared secret ────┐
                         ├──► Combiner ───► Shared secret
ML-KEM shared secret ────┘

The attraction of a hybrid is that security does not depend entirely on one new algorithm during the migration period. If elliptic-curve cryptography eventually becomes vulnerable to quantum attack but ML-KEM remains secure, the post-quantum component protects the result. If a weakness were instead discovered in the newer PQC algorithm before large quantum computers became practical, the traditional component could still provide protection against conventional attackers. The trade-off is increased complexity, larger messages and more demanding interoperability.

TR 33.703 therefore places considerable importance on cryptographic agility, meaning that algorithms need to be replaceable without redesigning the surrounding system every time cryptographic recommendations change. The SUCI study contains many possible approaches rather than a single selected solution. These include standalone PQC, hybrid PQC, nested hybrid schemes, symmetric-key approaches and mechanisms concerned with protection-profile selection. The presence of a proposal in TR 33.703 should therefore not be interpreted as meaning that 3GPP has standardised it.

One particularly useful proposal for understanding the direction of travel considers ML-KEM-768, either on its own or in combination with X25519. In the standalone case, ML-KEM replaces the ECDH operation used by today's ECIES-based profiles. In a hybrid case, the result from ML-KEM is combined with a conventional X25519 shared secret before deriving the keys used for SUCI protection.

There is, however, a major engineering problem. Post-quantum cryptography is much less compact than the elliptic-curve cryptography currently used for SUCI. For Profile A, the ephemeral X25519 public key is only 32 bytes. The transmitted MAC adds another 8 bytes, with the concealed subscriber identifier adding only a small amount more.

ML-KEM is very different:

Parameter set Public key Ciphertext
ML-KEM-512 800 bytes 768 bytes
ML-KEM-768 1,184 bytes 1,088 bytes
ML-KEM-1024 1,568 bytes 1,568 bytes

The ML-KEM-768 ciphertext alone is therefore more than thirty times larger than the ephemeral X25519 public key currently carried in SUCI Profile A. This creates a very practical 3GPP problem. A future PQC-protected SUCI could become larger than the limits assumed by protocols carrying the identity.

3GPP SA3 highlighted this to the IETF in 2026, noting that a PQC SUCI could exceed the 1020-byte EAP MTU and, depending on the selected algorithm and construction, potentially even exceed the size normally associated with a 1500-byte Ethernet MTU. This affects EAP-AKA' because EAP currently does not provide a suitable way to fragment the identity involved in this exchange.

The apparently simple migration:

X25519 → ML-KEM

can therefore turn into:

Larger PQC ciphertext
        ↓
Larger SUCI
        ↓
Larger EAP identity
        ↓
Existing MTU exceeded
        ↓
Fragmentation required
        ↓
EAP-AKA' changes
        ↓
IETF and 3GPP coordination

This is one of the most useful examples in TR 33.703 because it shows that PQC migration is not merely an algorithm substitution problem. It is a protocol and system-design problem. There is a similar issue inside the UE and USIM. The home-network public key used for SUCI protection has to be provisioned and stored somewhere accessible to the SUCI calculation function.

For X25519 this is only 32 bytes.

For ML-KEM-768 it is 1,184 bytes.

If SUCI calculation takes place inside the USIM, the USIM may also need to support the relevant post-quantum computation. If it takes place in the ME, both the ME and USIM still need to understand the new protection profile and associated provisioning.

This raises practical migration questions for 5G devices already in the field:

  • Can existing USIMs support the new profile?
  • Can the HN public key be updated remotely?
  • Can existing devices execute ML-KEM?
  • Does SUCI calculation happen in the ME or USIM?
  • How is algorithm capability indicated?
  • How are HN keys rotated?
  • How do old and new devices coexist?
  • What happens during roaming?

These issues are particularly important because mobile devices, IoT devices and SIMs can remain deployed for many years. SUCI is not the only part of the 5G security architecture that needs to evolve. TLS is extensively used within the 5G Service-Based Architecture. Post-quantum migration affects both TLS key establishment and, eventually, certificate signatures. IKEv2 and IPsec also need quantum-resistant key-establishment options. PKI migration affects CAs, certificates, trust stores, HSMs and network functions. JOSE and COSE also rely on public-key mechanisms that need to evolve.

In these areas, 3GPP is largely dependent on the work of the IETF and other standards organisations:

NIST
  │
  │ standardises PQ algorithms
  ▼
IETF and other SDOs
  │
  │ integrate them into protocols
  ▼
3GPP
  │
  │ profiles them for mobile systems
  ▼
Vendors and operators

This dependency explains why PQC transition work has to begin years before the cryptographic threat becomes immediate. It is also worth being precise about 5G-AKA. 5G-AKA does not simply need to be replaced by ML-KEM. The long-term subscription credential used by 5G-AKA is symmetric, and the resulting authentication and key hierarchy are based largely on symmetric cryptographic mechanisms. The same applies to NAS and PDCP encryption and integrity protection. The quantum-security question for these mechanisms is therefore different from the public-key problem affecting SUCI, TLS, certificates and IKEv2.

A useful simplified distinction is:

SUCI
 │
 └── ECIES / ECDH
       │
       ▼
  Public-key PQC problem


5G-AKA / NAS / PDCP
       │
       ▼
 Symmetric cryptography
       │
       ▼
Different quantum-security problem

This is why statements that "quantum computers will break 5G security" are too simplistic.

The second specifically 3GPP-related mechanism considered in TR 33.703 is MIKEY-SAKKE, which is used within Mission Critical Services. The current study identifies the post-quantum issue but does not provide the final migration solution. This is another reminder that TR 33.703 is a transition study, not the final quantum-safe security architecture. The work has already started moving beyond the study phase. 3GPP now has a Release 20 normative work item called Post-quantum Cryptography Migration Phase 1, or PQCMigration_Ph1-SEC.

The overall progression can therefore be seen as:

TR 33.938
Cryptographic Inventory
        │
        ▼
Where is cryptography used?
        │
        ▼
TR 33.703
PQC Transition Study
        │
        ▼
What needs to change?
        │
        ▼
Rel-20 PQC Migration Phase 1
        │
        ▼
Normative specification changes
        │
        ▼
Further migration phases

This is particularly relevant when looking towards 6G. Release 20 is the main 6G study release, but PQC is deliberately not being treated as something that starts only with a new 6G air interface or 6G Core. The migration needs to begin across existing 5G security mechanisms so that 5G, 5G-Advanced and 6G systems can coexist during what is likely to be a long cryptographic transition.

For mobile networks, the challenge is not just choosing a post-quantum algorithm. It is supporting old and new devices, existing and future SIMs, roaming partners, new certificate chains, larger protocol messages, multiple algorithm generations and potentially hybrid cryptography at the same time. That is why crypto-agility is likely to be one of the most important outcomes of the work.

The industry does not know exactly when a Cryptographically Relevant Quantum Computer will become available. It also cannot assume that today's preferred post-quantum algorithms will remain unchanged for the lifetime of a mobile-network generation. The network therefore needs to be designed so that cryptographic algorithms and profiles can evolve without requiring another fundamental redesign. Perhaps the most useful lesson from TR 33.703 is that the cryptographic mathematics may turn out to be the easy part.

Changing a 32-byte elliptic-curve value into a more than 1-kilobyte post-quantum ciphertext can affect SUCI, USIM provisioning, device implementations, EAP, MTUs, fragmentation, roaming and interoperability. And that is just one security procedure.

PQC in 3GPP is therefore not really a future 6G feature. It is an ongoing migration of the security foundations that 5G, 5G-Advanced and 6G will all depend on.

Related Posts

Tuesday, 26 May 2026

Mid-Band Spectrum Still Matters for 5G and Beyond

Mid-band spectrum has become one of the most important parts of the mobile network story. Low-band spectrum is essential for wide-area coverage and better indoor reach, while high-band spectrum, including mmWave, can provide very high capacity in selected locations. Mid-band sits between these two extremes and provides the practical balance of coverage and capacity that mobile operators need for mainstream LTE and 5G deployments.

A recent GSA report, Mid Band Spectrum Summary Report, May 2026, provides a useful global update on the status of spectrum between 1.71 GHz and 7.125 GHz. This includes familiar bands such as 1800 MHz, 2100 MHz, 2300 MHz, 2600 MHz, C-band, n79 and the upper 6 GHz band. Many of these bands have a long history in 2G, 3G and 4G networks, but they continue to remain valuable as operators refarm spectrum for LTE and 5G.

The 1800 MHz band remains one of the most widely used LTE bands globally, while 2100 MHz is a good example of a band originally associated with 3G that is now being reused for LTE and 5G. The 2300 MHz and 2600 MHz bands add further capacity options, with different FDD and TDD arrangements depending on the market.

For 5G, C-band has become the main global capacity layer. It offers more bandwidth than the lower mobile bands, while still being more practical than mmWave for wide-area deployment. This is why 3.5 GHz and related C-band ranges are central to many 5G network rollouts around the world.

Looking ahead, upper 6 GHz is becoming increasingly important for 5G-Advanced and 6G planning. It could provide an additional capacity layer that sits above today’s C-band deployments, while still being more practical than mmWave in many scenarios. Beyond that, future 6G discussions may add new layers such as upper-midband spectrum in the 7 to 15 GHz range and sub-THz spectrum for very high-throughput use cases.

In the short video below, we provide a quick update on mid-band spectrum, using the GSA report as the main data source and adding our own analysis of how these spectrum layers fit into LTE, 5G, 5G-Advanced and future 6G evolution.

Related Posts

Thursday, 26 March 2026

3GPP Study on Modernization of Specification Format and Procedures for 6G (6GSM)

The development of each new mobile generation is not only about new technologies and capabilities. It also requires evolution in the way standards themselves are created, maintained and consumed. As work on 6G gradually begins to take shape, the 3rd Generation Partnership Project (3GPP) has started examining whether the tools and processes used to write its specifications are still fit for purpose.

One of the first steps in this direction is the study titled Study on Modernization of Specification Format and Procedures for 6G (6GSM), documented in TR 21.802. The study looks at how the current approach to specification development works, the limitations that are becoming more visible as specifications grow larger and more complex, and the possible directions for modernising the process as the industry prepares for the 6G era.

3GPP specifications form the backbone of the mobile industry. They define how networks, devices and services interoperate across the globe. However, the way these specifications are produced has largely remained unchanged for many years. Today, most specifications are created and maintained using document based workflows centred around Microsoft Word and DOCX files. Delegates submit Change Requests that modify the text of these documents, and editors manually merge the approved changes into updated specification versions. This approach has served the industry well for decades because it is familiar, widely supported and easy for participants to understand.

The study recognises that the current workflow has several strengths. The document format provides a consistent structure across thousands of specifications. Contributors can edit content directly using familiar WYSIWYG tools, review tracked changes, include diagrams and tables, and collaborate during meetings by editing documents in real time on shared screens. These capabilities have helped large groups of experts work together efficiently during standardisation meetings.

At the same time, as specifications grow larger and more complex, the limitations of the current approach are becoming more visible. One of the most obvious challenges is the heavy reliance on manual processes. Change Requests must be merged into specifications by editors, which can introduce delays before updated versions are published. When multiple Change Requests modify the same sections of a document, identifying conflicts or inconsistencies can be difficult.

Scale is another factor. Many technical specifications now run into hundreds or even thousands of pages. Opening, searching or editing such large DOCX files can become slow and occasionally unstable. Large tables, embedded diagrams and complex formatting further increase file sizes and processing overhead.

Understanding how a feature evolves across specification versions can also be difficult for readers and implementers. Engineers often need to trace how a particular capability has changed between releases, but linking the final specification text back to the relevant Change Requests or understanding the context behind changes is not always straightforward.

The document format itself also presents challenges for automated processing. Extracting structured information from DOCX files requires significant preprocessing because textual content is mixed with binary elements such as images and embedded objects. This makes it harder for tools to analyse specifications or automate parts of the development workflow.

Navigation across specifications is another area where improvements could help. Many features are defined across multiple technical specifications produced by different working groups. Following references between documents or understanding how procedures interact across specifications can take time and effort, especially for engineers who are new to the standards.

To address these challenges, the study explores a number of alternative specification formats that could be considered for future work. Options such as OpenDocument, AsciiDoc, Markdown and LaTeX are discussed, along with more structured or restricted DOCX based approaches. Some proposals also consider hybrid models where different formats could coexist while maintaining a single authoritative source.

Text based markup formats such as Markdown or AsciiDoc are particularly interesting because they separate content from presentation. This structure can make version control and automated processing easier. These formats are widely used in software development environments and integrate well with modern collaboration tools that track changes and manage contributions from multiple participants.

LaTeX is another potential option, particularly for documents that require complex technical formatting or mathematical expressions. Meanwhile, restricted DOCX approaches attempt to preserve compatibility with existing workflows while enforcing stricter formatting rules to reduce complexity and improve consistency.

Beyond the document format itself, the study also looks at broader improvements to the way specifications are developed and maintained. One important idea is the use of modern version control systems such as Git. These systems are widely used in software development and allow contributors to track changes in detail, manage parallel development branches and merge updates in a more controlled manner. Applying similar workflows to standards development could improve traceability and help identify conflicts earlier.

The study also highlights the potential for automated validation tools that could check Change Requests for formatting errors, missing references or structural inconsistencies before they are submitted. Such tools could reduce the editorial workload while improving the overall quality and consistency of specifications.

Another possible direction is the use of machine readable formats for structured elements within specifications. Interfaces, protocol definitions or data models could be stored separately in structured files and then referenced or generated automatically within the main specification. This approach could reduce duplication and make it easier for implementers to reuse information directly in development environments.

The modernisation study does not recommend a single solution at this stage. Instead, it provides a detailed analysis of the current situation and explores possible directions for future work. Any transition will need to balance the benefits of new tools and formats with the practical realities of the existing ecosystem. The 3GPP community relies on a large set of established workflows, tools and expertise, and maintaining accessibility for all participants will be important.

As the industry moves towards 6G, the scale and complexity of specifications will continue to grow. Ensuring that the processes used to create and manage these specifications evolve alongside the technologies themselves will be essential. In that sense, modernising specification formats and procedures may become an important step in preparing the standards ecosystem for the next generation of mobile innovation.

If you want to learn more about this, check out:

  • 6G Specification Modernization discussions from Nokia & Ericsson here.
  • Ongoing 6GSM Workshop discussions here.
  • 3GPP TR 21.802: Study on modernization of specification format and procedures for 6G here.

Related Posts

Tuesday, 4 November 2025

AIoT and A-IoT

Our industry loves acronyms. In fact, sometimes it feels as if half our job is simply keeping up with them, while the other half is explaining them to everyone else. A recent example I saw referenced D2D for satellites, but expanded it as Device to Device instead of Direct to Device. Today, two similar acronyms are gaining momentum and are likely to become far more mainstream: AIoT and A-IoT.

Artificial Intelligence (AI) and the Internet of Things (IoT) are two of the key technological pillars of the modern digital world. IoT connects billions of devices, from sensors and cameras to industrial machinery, all producing vast amounts of useful data. AI enables these devices and systems to learn from this data, recognise patterns, predict outcomes, and act autonomously.

When these technologies come together, we get the Artificial Intelligence of Things, or AIoT. In simple terms, AIoT allows connected devices to analyse the data they generate and make decisions without always relying on central systems.

The intelligence in AIoT can sit in different places. Cloud based AI offers extensive processing power and the ability to leverage wider datasets. Edge AI processes data closer to where it is generated, enabling faster and more context aware decision making while reducing bandwidth use and protecting data privacy. Increasingly, lightweight machine learning models allow intelligence directly on devices themselves, enabling instant reactions without constant network access. This evolution transforms IoT devices from passive data collectors into proactive decision makers.

The benefits are significant. AIoT increases automation, improves efficiency, enhances reliability, and enables predictive maintenance, energy optimisation, autonomous navigation, and smarter logistics. It also supports sustainability initiatives, for instance by improving energy and water use monitoring or enabling more intelligent control of municipal utilities. In short, AIoT forms a key part of the digital transformation strategies emerging across industries.

To get a better sense of how AIoT could shape our everyday lives, I have embedded a couple of older Ericsson videos below that imagine a future where intelligence is seamlessly built into everything.

For anyone interested in going deeper into this topic, Transforma Insights and Supermicro have good explainers. While 3GPP continues to work on AI, ML and IoT, AIoT as a concept is largely implementation driven rather than a standardised feature in itself.

In contrast, 3GPP is actively defining a different acronym: A-IoT, short for Ambient IoT.

Ambient IoT represents a major shift in connected device design. Instead of relying on batteries or frequent charging, Ambient IoT devices operate using energy harvested from their surroundings. This can include radio signals, light, heat, or motion. The technology supports both passive operation, where devices backscatter incoming RF signals, and active operation, where they harvest enough power to generate and transmit signals independently.

Unlike traditional IoT devices, Ambient IoT units are extremely low power, low cost, and very simple in design. They have a shorter range and lower data throughput than conventional wireless technologies, but they excel in scenarios where massive numbers of tiny, battery-free sensors can be deployed and left to operate with minimal maintenance.

This makes Ambient IoT well suited to applications such as environmental sensing, supply chain tracking, inventory monitoring, smart agriculture, and intelligent labelling. It also opens opportunities in consumer environments, from smart packaging to indoor positioning. With the right network support, these devices can operate indefinitely, enabling sustainable, large-scale sensing networks.

Ambient IoT is already included in 5G Advanced Release 19. For those interested in learning more, 3GPP has a detailed overview, Oppo has produced an excellent white paper, and LG Uplus has published a forward looking document exploring Ambient IoT in the context of 6G.

Both AIoT and Ambient IoT represent the next phase of connected intelligence. AIoT pushes computation and decision making closer to where data originates, while Ambient IoT removes power barriers and enables pervasive, maintenance-free connectivity. Together, they will support systems that are scalable, energy efficient and context aware.

As these technologies mature, we can expect a world where devices are not only always connected, but also constantly learning, adapting, and operating independently with minimal energy demands. The future of connectivity lies in this balance between intelligence and efficiency, and both AIoT and Ambient IoT will play a crucial role in shaping it.

Related Posts

Thursday, 16 October 2025

Evolving Communication Security Towards 6G at the ETSI Security Conference 2025

The annual ETSI Security Conference returned to the French Riviera from 6 to 9 October, once again bringing together the global cybersecurity community in the beautiful surroundings of ETSI headquarters. Over 250 participants from industry, government agencies, academia, global standards bodies, and open-source communities attended, making it one of the most engaging editions to date. The four-day event featured keynotes, panel discussions, technical sessions, poster presentations and live demonstrations, offering a holistic view of today’s security challenges and tomorrow’s opportunities.

The opening day provided a broad overview of the global cybersecurity landscape, setting the tone for the week ahead. Discussions highlighted emerging trends such as the growing influence of artificial intelligence and the rapid evolution of regulatory frameworks, including the European Commission’s Cyber Resilience Act. The sessions underscored the importance of collaboration between policymakers, researchers, and standards organisations. The afternoon focused on the cyber skills gap, a recurring theme across many sectors, stressing the need for education and training to build a security-aware workforce capable of safeguarding future digital systems. Standards were identified as key enablers in bridging policy and implementation, helping to transform regulatory intent into operational resilience.

The second day examined the paradox between AI as both a risk and a defence mechanism in cybersecurity. Experts discussed how AI-driven systems can expose new vulnerabilities if developed without strong security foundations, while also offering powerful tools for detection and response. Another session addressed fraud reduction and the convergence of security strategies to protect both networks and end users. A major highlight was the discussion on the global uptake of ETSI’s consumer IoT security standard, ETSI EN 303 645. Representatives from Germany, the UK, Singapore and Japan shared national experiences implementing consumer labelling schemes based on this standard, confirming its status as a globally recognised baseline for IoT security.

The third day was dedicated to the evolution of communication technologies and the emerging security landscape as the world moves towards 6G. Chaired by Dario Sabella from xFlow Research, the morning session explored how the journey from 5G Advanced to 6G requires a fresh approach to network security. The day began with an update from Alain Sultan of ETSI on the ongoing work within 3GPP SA3, focusing on strengthening frameworks for new architectures and deployment models. Bengt Salin from Ericsson outlined what should be considered in shaping security for 6G, emphasising that the next generation must be secure by design, not by adaptation. Nauman Khan from STC analysed the threat landscape surrounding 5G MEC and private networks, noting that as edge computing becomes more widespread, it introduces new vulnerabilities but also provides insights that can guide 6G security frameworks. Leyi Zhang from ZTE then presented on Secure Space-Air-Ground Integrated Networks, a concept uniting terrestrial, aerial, and satellite systems to provide ubiquitous connectivity. Ensuring trust, authentication, and data protection across such a heterogeneous environment presents one of the greatest challenges for 6G.

A panel discussion moderated by Dario Sabella brought together the morning’s speakers to reflect on security priorities toward 6G. The consensus was clear: while 6G is still in the early stages of standardisation, security must not be an afterthought. Lessons from 5G—particularly regarding openness, complexity, and trust—must inform the architecture and design principles of 6G from the outset. The afternoon sessions continued with broader discussions about digital sovereignty, fragmentation, and whether the internet is moving toward a “splinternet”. The day concluded with a deep dive into post-quantum cryptography, where real-world implementations provided valuable lessons for securing the next era of communication systems.

The final day of the conference shifted attention to geopolitics, cyber resilience, and the role of standards in shaping strategic responses to global challenges. Speakers explored how critical infrastructure security is increasingly influenced by geopolitical dynamics and how coordinated international standards can help mitigate risks. The Cyber Resilience Act remained a focal point, with experts emphasising the urgency of developing the 19 associated ETSI standards to support implementation. Harmonising global labelling schemes based on ETSI EN 303 645 was identified as an immediate priority, while in the longer term, education—both for future generations and C-level executives—was seen as essential to strengthen awareness of how standards underpin sovereignty, innovation, and competitiveness.

The 2025 edition of the ETSI Security Conference reaffirmed ETSI’s position as a central hub for cybersecurity dialogue and collaboration. From 5G and IoT to post-quantum cryptography and 6G, it showcased how security is now integral to every layer of the digital ecosystem. As the journey toward IMT-2030 continues, the message from Sophia Antipolis was clear: proactive, standards-based collaboration is the foundation of a secure connected future.

You can see the detailed agenda here. The presentations from the conference are all available here.

Related Posts

Friday, 8 August 2025

Is 6G Our Last Chance to Make Antennas Great Again?

At the CW TEC 2025 conference hosted by Cambridge Wireless, veteran wireless engineer Moray Rumney delivered a presentation that challenged the direction the mobile industry has taken. With decades of experience and a sharp eye for what matters, he highlighted a growing and largely ignored problem: the steady decline in the efficiency of antennas in mobile devices.

The evolution of mobile technology has delivered remarkable achievements. From the early days of GSM to the promises of 5G and the ambition of 6G, the industry has continually pushed for higher speeds, more features and greater spectral efficiency. Yet along the way, something essential has been lost. While much of the focus has been on network-side innovation and baseband complexity, the performance of the user device antenna has deteriorated to the point where it is now undermining the potential benefits of these advancements.

According to Moray, antenna performance in smartphones has declined by around 15 decibels since the transition from external antennas in 2G to today’s smartphones. That level of loss has a profound impact. A poor antenna reduces both transmitted and received signal strength. On the uplink side, this means users need to push more power to the network, which drains battery life faster. On the downlink, it forces the network to compensate with stronger transmissions, increasing inter-cell interference and lowering cell-edge throughput. Ultimately, this undermines the overall efficiency and quality of mobile networks. Cell edge performance and indoor coverage is much degraded.

The root of the problem lies in modern smartphone design priorities. Over the years, devices have become slimmer, more stylish and packed with more features. In this pursuit of sleekness, antennas have been compromised. External antennas gave way to internal ones, squeezed into tight spaces surrounded by metal and glass. The visual appeal of the phone has taken precedence over its radio performance. On a technical level, the explosion in the number of supported bands and the increased use of multi-antenna transceivers optimized for high performance in excellent conditions, has reduced the available space for each antenna, reducing the antenna gain accordingly.

This issue was particularly pronounced during the LTE era, where the standards bodies failed to define any radiated performance requirements. Handset performance is based  on conducted power, which can appear satisfactory in laboratory conditions. However, once the signal passes through the device's real antenna, the result is often a significant loss. Real-world radiated performance does not match lab conducted measurements.

One of Moray's more memorable illustrations compared the situation to a tube of toothpaste. The conducted performance, which all devices meet, is like a full tube of toothpaste, but with years passing before radiated requirements were finally defined for a few bands in 5G, products with inferior radiated performance were released to the market, which put downward pressure on the radiated requirements that were finally agreed – like squeezing out all the toothpaste. What is left today is a small residue of what used to be. Once compromised, it is extremely difficult to reverse this trend.

He also pointed out a structural problem in how mobile standards are developed. The focus is disproportionately placed on baseband processing and theoretical possibilities, rather than on end-user experience and what actually gets deployed. As new generations arrive, more complexity is added, yet basic aspects like antenna efficiency are overlooked. Testing practices further entrench the problem, as the use of a 50-ohm connector during lab testing limits the scope for real antenna improvements, preventing designers from achieving optimal matching and performance.

Despite all the talk of 6G and beyond, the reality on the ground is less impressive. The UK currently ranks 59th in global mobile speed tests. This is not because of a lack of advanced standards or spectrum, but because of poor deployment decisions and device-related issues like inefficient antennas. It is not a technology gap but a failure to focus on basics that truly matter to users.

Moray argued that significant progress could be made without waiting for 6G. Regulatory bodies could introduce minimum standards for antenna performance, as was once attempted in Denmark. Device certification could include antenna efficiency ratings, encouraging manufacturers to prioritise performance. Networks could enforce stricter indoor coverage targets, and pricing models could be rethought to reduce the strain caused by low-value, high-volume traffic.

He also called attention to battery life, another casualty of inefficient antennas and poor design decisions. Users now routinely carry power banks to get through the day. This is hardly a sign of progress, especially considering the environmental impact of producing and charging these extra devices.

In conclusion, while the industry continues to chase ambitious visions for future generations of mobile technology, there is an urgent need to fix the basics. Antennas are not an exciting topic, but they are fundamental. Without efficient antennas, all the investment in infrastructure, spectrum and software optimisation is wasted. It is time for the industry to refocus, reassess and revalue the importance of the one component every user relies on, but rarely sees.

It really is time to make antennas great again.

Moray’s presentation is embedded below and is available to download from here.

Related Posts

Thursday, 20 March 2025

AI/ML in 3GPP: Progress, Challenges, and the Road to 6G

The ETSI Artificial Intelligence (AI) Conference – Status, Implementation and Way Forward of AI Standardization – took place from 5-7 February 2024 at ETSI, Sophia Antipolis, France. This in-person event provided a valuable platform for experts and peers to exchange insights, explore demos and posters, and discuss AI and Machine Learning (ML) within the Information and Communications Technology (ICT) sector.

The event agenda is available online, and all presentations can be accessed here.

AI/ML Work in 3GPP: Insights from Dr. Juan Montojo

Dr. Juan Montojo, a leading figure in 3GPP TSG Radio Access Networks (RAN) and rapporteur for the work item Artificial Intelligence/Machine Learning for NR air interface (NR_AIML_air), delivered an insightful presentation titled "Overview of AI/ML related work in 3GPP." His talk covered the current status of AI/ML in 3GPP and prospects as 6G priorities begin to take shape.

Further details are available in the 3GPP post and presentation.

Focus Areas in 3GPP AI/ML Work

Dr. Montojo outlined the critical focus areas for AI/ML within 3GPP:

  • Infrastructure and Operator Control: Ensuring that operators maintain control over AI/ML implementations within their networks.
  • Performance Monitoring: Establishing standards for monitoring AI/ML model performance, activation, and deactivation.
  • Air Interface Extensions: Developing extensions to support AI/ML-specific use cases.
  • Data Standards: Defining standardized processes for data collection, AI/ML model transfer, and delivery.
  • Testing and Interoperability: Ensuring consistent device behavior and interoperability in AI/ML deployments.

Principles Guiding AI/ML in 3GPP

The AI/ML work in 3GPP is grounded in principles that echo regulatory frameworks like the European Commission’s AI Act:

  • Data Security and Integrity: Safeguarding data confidentiality and ensuring integrity.
  • Privacy and User Consent: Respecting data privacy and user anonymity, with explicit consent mechanisms.
  • Operator Control: Empowering operators with control over data collection, transfer initiation, termination, and management.
  • Future-Proof Design: Ensuring the system design is extendable to accommodate future advancements.

AI/ML Training Models: Current Practices and Future Directions

  • Off-line Training: Currently, AI/ML models in 3GPP assume off-line training, where models are fully trained before deployment in commercial networks.
  • On-line Training and Federated Learning: Future 6G developments may introduce on-line training. 3GPP WG SA2 is already exploring federated learning to enhance network automation.

Challenges and Opportunities for AI/ML in Cellular Networks

Dr. Montojo emphasized both the strengths and limitations of AI/ML in cellular networks:

  • Strengths: AI/ML excels in tackling complex, non-linear problems that traditional methods struggle with. It enhances localized, data-driven decision-making.
  • Challenges: High energy consumption remains a concern for both network and device sides. Standardization must balance flexibility with technical consistency.

The Path Forward: AI/ML in 6G

AI/ML is expected to become pervasive in 6G, influencing all aspects of system design and operation. Notable expectations include:

  • Rel-21 Specifications: AI/ML will be incorporated from the outset, supporting evolving use cases and dynamic requirements.
  • Flexible Standardization: Future specifications may be less rigid, enabling AI/ML to drive optimization through data-driven parameterization.

Conclusion

AI/ML's integration into 3GPP workstreams is advancing steadily, laying the groundwork for significant contributions to 6G networks. While AI/ML models themselves are not being standardized, the supporting frameworks around data collection, model management, and interoperability are set to shape the future of cellular technology.

For anyone invested in AI/ML's role in telecoms, understanding these foundational steps is essential as we move towards a more automated, intelligent, and adaptable network landscape.

Related Posts

Wednesday, 26 February 2025

Reigniting Growth in the Telecom Industry with AI and Cloud

The telecom industry is at a crossroads. While demand for connectivity continues to surge, operators face stagnating revenues, rising costs, and increasing competition. In his keynote at the Brooklyn 6G Summit 2024, Manish Singh, CTO of Telecom Systems Business at Dell Technologies, outlined a compelling vision for how AI and cloud-native networks can reignite growth in the sector.

The Growth Challenge in Telecom

The traditional telecom business model is under pressure. Operators are struggling with:

  • Revenue stagnation despite increasing data consumption.
  • Rising operational costs driven by legacy infrastructure and inefficient processes.
  • Intensifying competition from hyperscalers and alternative connectivity providers.

To overcome these challenges, Manish argues that telcos must embrace AI-native and cloud-native architectures as fundamental enablers of transformation.

AI: The Catalyst for Intelligent Networks

AI is not just an add-on; it must be at the core of future telecom networks. Manish highlighted several ways AI can drive growth:

  • Automation of network operations: AI-driven predictive maintenance and self-optimising networks reduce downtime and operational expenses.
  • Enhanced service delivery: AI enables hyper-personalised customer experiences and intelligent traffic management.
  • Operational efficiency: AI optimises energy consumption, spectrum allocation, and overall network resource utilisation.

Manish emphasised that AI-native networks will be a defining feature of 6G, making networks more autonomous, efficient, and scalable.

Cloud-native Architectures: The Foundation for Scalability

Moving beyond traditional, hardware-centric networks is essential. Manish advocates for a cloud-first approach, where telecom networks are:

  • Software-defined and virtualised, reducing dependence on costly proprietary hardware.
  • Highly scalable, allowing operators to adjust capacity dynamically.
  • Interoperable and open, fostering innovation through Open RAN and disaggregated networks.

By embracing cloud-native principles, telcos can accelerate service delivery, reduce costs, and stay competitive in an increasingly software-driven ecosystem.

AI Infrastructure: Scaling from Edge to Core

A key enabler of AI and cloud-native networks is the AI Factory approach, which provides scalable infrastructure from mega-scale data centres to the edge. Manish highlighted how AI workloads must be supported across different network layers—from on-premise enterprise deployments to far-edge, near-edge, and core data centres.

Dell Technologies' AI Factory is designed to:

  • Support diverse AI edge use cases in telecom.
  • Handle power and cooling constraints, crucial for efficient AI model training and inference.
  • Leverage cloud-native architectures to ensure seamless scalability and automation across the entire network.

This modular infrastructure ensures that telecom networks can efficiently process AI workloads at every layer, enabling real-time decision-making and optimised operations.

Overcoming Challenges in AI and Cloud Adoption

Despite the clear benefits, Manish acknowledged key barriers:

  • Legacy infrastructure: Transitioning from traditional networks requires significant investment.
  • Security and privacy concerns: AI-driven automation raises questions about data integrity and network security.
  • Industry mindset shift: Operators must adopt a culture of innovation and rapid iteration.

Addressing these challenges requires industry-wide collaboration, strong partnerships with cloud providers, and a commitment to open innovation.

Conclusion: The Time to Act is Now

Manish’s message to the industry was clear—AI and cloud are not future aspirations; they are essential for telecom survival and growth. By leveraging AI-native automation and cloud-native architectures, operators can reignite growth, drive efficiency, and prepare for the 6G era.

Watch Manish Singh’s full keynote embedded below:

Related Posts

Tuesday, 4 February 2025

Beyond KPIs: The Role of Key Value Indicators (KVIs) in 6G

Key Performance Indicators (KPIs) have long been the primary benchmarks for evaluating mobile network performance. However, as 6G moves towards a broader societal and environmental impact, the European Hexa-X-II project and its partners advocate for integrating Key Values (KVs) and Key Value Indicators (KVIs) into network design and evaluation.

On 18 December 2024, Hexa-X-II hosted an insightful webinar to highlight the significance of KVIs in shaping the future of 6G. The session underscored how KVIs can complement KPIs by assessing technology’s impact on sustainability, digital inclusion, trust, and ethical considerations. 

While the video hasn't been shared, you can download the slides from here.

Why KVIs Matter in 6G Development

Traditionally, mobile network development has been driven by KPIs—throughput, latency, reliability, and spectrum efficiency. However, as 6G aims to support broader global goals such as the UN Sustainable Development Goals (SDGs), a shift towards value-based design is necessary. Hexa-X-II proposes a structured methodology where:

  • Human and Planetary Goals are identified (e.g., sustainability, digital inclusion, trust).
  • Key Values (KVs) are derived from these goals to reflect technology’s intended benefits and potential risks.
  • Key Value Indicators (KVIs) provide qualitative or quantitative measures to assess whether these values are met.

From Theory to Application: The Hexa-X-II Process

One of the core challenges in applying KVIs is the interdisciplinary nature of the assessment. Unlike KPIs, which are primarily technical, KVIs require social, economic, and environmental considerations. The Hexa-X-II approach includes:

  • Defining Use Case KVIs, which assess the impact of a specific application.
  • Defining Enabler KVIs, which measure how well a technical enabler (e.g., AI, NTN, RIS) contributes to key values.
  • Mapping KVIs to existing KPIs where possible and identifying gaps where new indicators are needed.
  • Iteratively refining KVIs based on real-world evaluations.

A Case Study: Cooperating Mobile Robots

One example discussed in the webinar was the use of cooperating mobile robots, a use case that benefits from 6G-enabled ultra-reliable low-latency communication (URLLC). While KPIs can measure performance (e.g., latency, reliability), KVIs help evaluate the broader impact, such as:

  • Environmental KVIs: Energy efficiency, material usage, electronic waste reduction.
  • Social KVIs: Job displacement vs. job creation, worker safety, accessibility.
  • Economic KVIs: Business viability, affordability, and risk of monopolisation.

By systematically assessing these factors, the Hexa-X-II framework ensures that 6G technology is not just high-performing but also aligned with societal needs.

Lessons Learned and Future Outlook

The adoption of KVIs presents several challenges, including subjective assessments, measurement difficulties, and the need for multi-stakeholder collaboration. However, Hexa-X-II emphasises that:

  • Technology impact should be continuously monitored using KVIs.
  • Qualitative and quantitative assessments must be combined, rather than relying solely on measurable KPIs.
  • A system-level approach is required, integrating perspectives from sustainability, business, and social sciences.

As 6G research advances, KVIs will play a crucial role in ensuring that next-generation networks contribute meaningfully to global sustainability and inclusivity. The Hexa-X-II initiative provides a foundational methodology for integrating values into the traditionally KPI-driven telecom landscape — an approach that could redefine how we measure success in the 6G era.

Related Posts

Friday, 17 January 2025

Lessons from ANRW ’24: AI and Cloud in 5G/6G Systems

The ACM, IRTF & ISOC Applied Networking Research Workshops (ANRW) offer a vibrant forum for researchers, vendors, network operators, and the Internet standards community to exchange emerging results in applied networking research. To foster collaboration across these diverse groups, ANRW events are co-located with IETF standards meetings, typically held annually in July. These workshops prioritise interactive discussions and engagement, complementing traditional paper presentations.

ANRW '24, held on 23 July 2024 at the Hyatt Regency Vancouver, brought together industry leaders and academics to share insights on advancing networking technologies. Among the standout sessions was a keynote presentation by Sharad Agarwal, Senior Principal Researcher at Microsoft. His keynote titled, "Lessons I Learned in Leveraging AI+ML for 5G/6G Systems", highlighted pivotal themes influencing telecom and networking.

Sharad distilled his experiences into three key lessons, each underscored by examples of research and systems developed to address specific challenges in the telecom industry:

  1. Leverage Cloud Scale to Overcome Limitations of Deployed Protocols: He emphasised that the scale of cloud computing is critical to managing the massive demands of modern telecom networks. For instance, systems like TIPSY (Traffic Ingress Prediction SYstem) demonstrate how AI and ML can predict traffic ingress points across thousands of peering links, helping to avoid bottlenecks and ensure optimal traffic distribution.
  2. Custom Learning Algorithms vs. Off-the-Shelf Solutions: While bespoke algorithms offer higher precision for niche applications, their complexity and deployment challenges often outweigh their benefits. Sharad argued for balancing innovation with practicality, advocating for leveraging pre-built AI and ML models wherever possible to streamline integration.
  3. Mitigate Risks of AI Hallucinations through Careful System Design: Acknowledging the risks posed by unreliable AI outputs, he stressed the importance of robust system design. Using LLexus, an AI-driven incident management system, as an example, Sharad highlighted techniques like iterative plan generation, validation rules, and human auditing as essential safeguards against AI errors.

The talk also delved into broader trends shaping the telecom landscape:

  • Cloudification of Telecom Infrastructure: The shift from hardware-based to software-based network functions, underpinned by cloud-native principles, has revolutionised telco infrastructure. This transformation facilitates rapid upgrades, reduces costs, and introduces new opportunities for AI-driven analytics.
  • Challenges in Performance and Reliability: Ensuring high throughput, low latency, and carrier-grade reliability in cloudified networks remains a significant hurdle. Innovations like PAINTER and LLexus demonstrate how AI and ML are being applied to optimise these aspects.
  • Emerging Business Models and Private Deployments: The integration of new radio technologies and virtualised network functions is driving novel revenue streams, such as private 5G/6G networks for mission-critical applications like factory automation.

Finally, Sharad’s keynote underscored how AI, ML, and cloud computing are reshaping the telecom industry, particularly in the era of 5G and the forthcoming 6G. By leveraging the scale of cloud infrastructure, balancing algorithmic complexity, and designing systems with resilience against AI pitfalls, the industry is poised to meet its ambitious goals of high bandwidth, low latency, and unparalleled reliability.

The video of his talk is embedded below and the slides are available here:

Related Posts:

Tuesday, 10 December 2024

Tutorial Session on Non-Terrestrial Networks (NTNs) and 3GPP Standards from 5G to 6G

Over five years ago, we introduced the concept of Non-Terrestrial Networks (NTN) in our NTN tutorial and wrote IEEE ComSoc article, "The Role of Non-Terrestrial Networks (NTN) in Future 5G Networks." Since then, the landscape has seen remarkable transformations with advancements in standards, innovations in satellite connectivity, and progress in real-world applications.

The 2024 Global Forum on Connecting the World from the Skies, held on November 25–26, served as a pivotal platform for stakeholders across the spectrum; policymakers, industry leaders, and technical experts. Jointly organized by the International Telecommunication Union (ITU) and Saudi Arabia’s Communications, Space & Technology Commission (CST), the event underscored NTNs' growing importance in advancing global connectivity.

A key highlight of the forum was Tutorial Session 2, delivered by Gino Masini, Principal Researcher, Standardization at Ericsson. The session, titled "Non-Terrestrial Networks and 3GPP Standards from 5G to 6G," provided an in-depth look at the evolution of NTNs and their integration into mobile networks.

Key Takeaways from the Session included:

  • 3GPP Standardization Milestones:
    • Release 17: NTN integration began, paving the way for seamless 5G coverage.
    • Release 18: Enhanced features and capabilities, focusing on improved satellite-terrestrial convergence.
    • Release 19 (Ongoing): Lays the foundation for natively integrated NTN frameworks in 6G.
  • Unified Networks in 6G: A focus on radio access network architecture demonstrated how NTN can evolve from a supporting role to becoming an intrinsic component of future 6G systems.
  • Industry Impact: The session highlighted how convergence between satellite and terrestrial networks is no longer aspirational but a tangible reality, fostering a truly unified global connectivity ecosystem.

With NTNs now integral to 3GPP's vision, the groundwork has been laid for scalable satellite connectivity that complements terrestrial networks. The insights shared at the forum emphasize the importance of collaboration across industry and standards organizations to unlock the full potential of NTNs in both 5G and 6G.

For those interested, the full tutorial slides and session video are embedded below.

Gino has kindly shared the slides that can be downloaded from here.

Related Posts