Showing posts with label Tutorials. Show all posts
Showing posts with label Tutorials. 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.

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Tuesday, 3 February 2026

Seven AI Concepts Shaping Network Intelligence

AI has become so deeply embedded in our everyday working lives that it is no longer limited to data science teams or research labs. In telecoms, AI now plays a central role in network planning, optimisation, assurance and automation. As a result, the industry is rapidly absorbing a growing set of AI-related terms and concepts, many of which are directly relevant to how networks are evolving towards higher levels of autonomy.

I recently came across the video embedded below, which provides clear explanations of seven AI terms that are becoming increasingly important in the context of network intelligence and autonomous networks. Some of these concepts are already being applied in operational networks today, while others point clearly towards the direction of travel for AI-native 5G Advanced and 6G systems.

The video begins with Agentic AI, a concept that aligns closely with the telecom industry’s vision for autonomous networks as defined in 3GPP. Unlike traditional AI models that respond to a single prompt, AI agents can perceive their environment, reason about next steps, take action and observe the outcome in a continuous loop. In practical terms, this maps well to closed-loop automation use cases such as self-healing, energy optimisation, dynamic resource allocation and intent-driven network management.

Closely related are Large Reasoning Models, which are designed to work through problems step by step rather than producing an immediate response. This capability is particularly relevant for telecom networks, where decisions often span multiple domains, layers and vendors. As AI systems take on greater responsibility for operational decisions, reasoning-based models become essential for safe and explainable automation.

The video then moves to more foundational enablers, starting with Vector Databases. Telecom networks generate vast volumes of unstructured data, including logs, alarms, performance metrics, configuration data and documentation. Vector databases allow this information to be searched and correlated based on semantic meaning rather than simple keywords, enabling more context-aware and intelligent AI systems.

This naturally leads to Retrieval-Augmented Generation (RAG), which is already gaining traction in telecom operations. By combining large language models with operator-specific data sources such as standards, network documentation or operational procedures, RAG helps ground AI outputs in trusted information. This is particularly important in network operations, where accuracy and reliability are critical.

Another important concept discussed is the Model Context Protocol (MCP), which addresses how AI models interact with external tools and systems. For telecom operators, standardised mechanisms for AI access to network management systems, data platforms and orchestration tools could significantly simplify integration and accelerate the deployment of AI-driven automation across the network lifecycle.

The video also touches on Mixture of Experts (MoE) models, which provide a more efficient way to scale AI by activating only the parts of a model needed for a specific task. This approach is especially relevant for telecom use cases where compute efficiency, latency and energy consumption are key constraints, particularly as AI capabilities move closer to the edge of the network.

Finally, the video briefly discusses Artificial Superintelligence (ASI). While ASI remains theoretical, it is often referenced in long-term discussions around AI evolution. For the telecom industry, it serves as a reminder of the rapid pace of change and the importance of governance, trust and control as networks become increasingly autonomous and software-driven.

Overall, this video offers a useful technical refresher on AI concepts that are already shaping the development of network intelligence, autonomous operations and AI-native architectures. For anyone working on 5G Advanced, autonomous networks or early 6G thinking, these are terms that are quickly becoming part of the industry’s everyday vocabulary.

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Thursday, 11 September 2025

Dummy Loads in RF Testing for Dummies

I have spent many years working in the Test and Measurement industry and have also worked as a hands on engineer testing solutions, and as a field engineer testing various solution pre and post deployment. Over the years I have used various attenuators and dummy loads. It was nice to finally look at the different types of dummy loads and understand how they work in this R&S video.

So what exactly is a dummy load? At its core, it is a special kind of termination designed to absorb radio frequency energy safely. Instead of letting signals radiate into the air, a dummy load converts the RF power into heat. Think of it as an antenna that never actually transmits anything. This makes it invaluable when testing transmitters because you can run them at full power without interfering with anyone else’s spectrum.

Ordinary terminations are widely used in test setups but they are usually only good for low power. If you need to deal with more than about a watt of power, that is where dummy loads come in. Depending on their design, they can handle anything from a few watts to many kilowatts. To survive this, dummy loads use cooling methods. The most common are dry loads with large heatsinks that shed heat into the air. For higher powers, wet loads use liquids such as water or oil to absorb and move heat away more efficiently. Some combine both air and liquid cooling to push the limits even further.

Good dummy loads are not just about heat management. They also need to provide a stable impedance match, usually 50 ohms, across a wide frequency range. This minimises reflections and ensures accurate testing. Many dummy loads cover frequencies up to several gigahertz with low standing wave ratios. Ultra broadband designs, such as the Rohde & Schwarz UBL100, go up to 18 GHz and can safely absorb power levels in the kilowatt range

Some dummy loads even add extra features. A sampling port allows you to monitor the input signal at a reduced level. Interlock protection can shut down a connected transmitter if the load gets too hot. These touches make dummy loads more versatile and safer in real-world use.

In day-to-day testing, dummy loads help not only to protect transmitters but also to get accurate measurements. By acting as a perfectly matched, non-radiating antenna, they give engineers confidence that they are measuring the true transmitter output. They can also be used to quickly check feedlines and connectors by substituting them in place of an antenna.

Rohde & Schwarz have put together a useful explainer video that covers all of this in a simple, visual way. You can watch it below to get a clear overview of dummy loads and why they matter so much in RF testing.

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Monday, 1 September 2025

Software Efficiency Matters as Much as Hardware for Sustainability

When we talk about making computing greener, the conversation often turns to hardware. Data centres have become far more efficient over the years. Power supply units that once wasted 40% of energy now operate above 90% efficiency. Cooling systems that once consumed several times the power of the servers themselves have been dramatically improved. The hardware people have delivered.

But as Bert Hubert argues in his talk “Save the world, write more efficient code”, software has been quietly undoing many of those gains. Software bloat has outpaced hardware improvements. What once required careful optimisation is now often solved by throwing more cloud resources at the problem. That keeps systems running, but at a significant energy cost.

The hidden footprint of sluggish software

Sluggish systems are not just an annoyance. Every loading spinner, every second a user waits, often means CPUs are running flat out somewhere in the chain. At scale, those wasted cycles add up to megawatthours of electricity. Studies suggest that servers are responsible for around 4% of global CO₂ emissions, on par with the entire aviation industry. That is not a small share, and it makes efficient software a climate issue.

Hubert points out that the difference between badlly written code, reasonable code, and highly optimised code can easily span a factor of 100 in computing requirements. He demonstrates this with a simple example: generating a histogram of Dutch house numbers from a dataset of 9.9 million addresses.

  • A naïve Python implementation took 12 seconds and consumed over 500 joules of energy per run.
  • A straightforward database query reduced this to around 20 joules.
  • Using DuckDB, a database optimised for analytics, the same task dropped to just 2.5 joules and completed in milliseconds.

The user experience also improved dramatically. What once required a long wait became effectively instantaneous.

From data centres to “data sheds”

The point is not just academic. If everyone aimed for higher software efficiency, Hubert suggests, many data centres could be shrunk to the size of a shed. Unlike hardware, where efficiency can be bought, software efficiency has to be designed and built. It requires time, effort and, crucially, management permission to prioritise performance over simply shipping features.

Netflix provides a striking example. Its custom Open Connect appliances deliver around 45,000 video streams at under 10 milliwatts per user. By investing heavily in efficiency, they proved that optimised software and hardware together can deliver enormous gains.

The cloud and client-side challenge

The shift to the cloud has created perverse incentives. In the past, if your code was inefficient, the servers would crash and force a rewrite. Now, organisations can simply spin up more cloud instances. That makes it too easy to ignore software waste and too tempting to pass the costs into ever-growing cloud bills. Those costs are not only financial, but also environmental.

On the client side, the problem is subtler but still real. While loading sluggish web apps may not burn as much power as a data centre, the sheer number of devices adds up. Hubert measured that opening LinkedIn on a desktop consumed around 45 joules. Scaled to hundreds of millions of users, even modest inefficiencies start to look like power plants.

Sometimes the situation is worse. Hubert found that simply leaving open.spotify.com running in a browser kept his machine burning an additional 45 watts continuously, due to a rogue worker thread. With hundreds of millions of users, that single design choice could represent hundreds of megawatts of wasted power globally.

Building greener software

The lesson is clear. Early sluggishness never goes away. If a system is slow with only a handful of users, it will be catastrophically wasteful at scale. The time to demand efficiency is at the start of a project.

There are also practical steps engineers and organisations can take:

  • Measure energy use during development, not just performance.
  • Audit client-side behaviour for long-lived applications.
  • Incentivise teams to improve efficiency, not just to ship quickly.
  • Treat large cloud bills as a proxy for emissions as well as costs.

As Hubert says, we may only be able to influence 4% of global energy use through software. But that is the same impact as the aviation industry. Hardware engineers have done their part. Now it is time for software engineers to step up.

You can watch Bert Hubert’s full talk below, where he shares both entertaining stories and sobering measurements that show why greener software is not only possible but urgently needed. The PDF of slides is here and his LinkedIn discussion here.

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Tuesday, 20 May 2025

A Beginner’s Guide to the 5G Air Interface

Some of you may know that I manage quite a few LinkedIn groups, and I often come across advanced presentations and videos on LTE and 5G. From time to time, people reach out asking where they can access a free beginner-level course on the 5G Air Interface. With that in mind, I was pleased to see that Mpirical have shared a recorded webinar on YouTube titled Examining the 5G Air Interface, which seems ideal for anyone looking for a basic introduction.

Philip Nugent, Senior Technical Trainer at Mpirical, explains some of the key terms, concepts and capabilities of 5G New Radio. The webinar provides a high level overview of several important topics including 5G frequency bands and ranges, massive MIMO and beamforming, protocols and resources, and a look at the typical operation of a 5G device. It concludes with a short trainer Q&A session.

The video is embedded below:

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Thursday, 24 April 2025

An Introduction to OSS/BSS in Mobile Networks

When discussing mobile networks, much of the focus tends to be on radio access technologies, spectrum, or core network evolution. However, two often overlooked yet critical components in the operational backbone of any telecom network are Operations Support Systems (OSS) and Business Support Systems (BSS).

While not typically defined in 3GPP specifications, OSS and BSS play a vital role in keeping the network functional and the business viable.

OSS is responsible for network-facing tasks such as monitoring, configuration, fault management, and performance optimisation, commonly summarised using the FCAPS model: Fault, Configuration, Accounting, Performance, and Security. It ensures the network operates smoothly and supports the delivery of services.

BSS, on the other hand, deals with customer-facing functions like CRM, order handling, billing, and revenue management. It ensures that customers can purchase, use, and be billed accurately for services,  forming the foundation for business growth and customer satisfaction.

To help introduce this important topic, we’ve created a short video explainer that outlines:

  • The basic architecture of OSS and BSS
  • Their roles within a multi-vendor network
  • Key interfaces such as EMS, NMS, and TMN
  • Why OSS/BSS are critical for digital transformation and operational efficiency

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

While OSS/BSS may not be headline features in 5G or 6G discussions, they remain the unsung heroes that ensure networks are operational, customers are happy, and services are profitable.

Let us know your thoughts in the comments or on social media. We're always keen to learn from those who work closely with these systems.

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Thursday, 19 December 2024

Evolution and Impact of Cellular Location Services (LCS)

Location Services (LCS) have been standardized by 3GPP across all major generations of cellular technology, including 2G (GSM), 3G (UMTS), 4G (LTE), and 5G. These services enable applications to determine the geographical location of mobile devices, facilitating crucial functions such as emergency calls, navigation, and location-based advertising. The consistent adoption of standardized protocols ensures interoperability, scalability, and reliability, empowering mobile operators and device manufacturers to implement location services in a globally consistent manner.

The evolution of LCS technology has seen remarkable advancements with each generation of cellular networks. Early implementations in 2G and 3G relied on basic techniques such as Cell-ID, Timing Advance, and triangulation, which offered limited accuracy and were suitable only for rudimentary use cases. 

The introduction of LTE in 3GPP Release 9 marked a significant improvement, integrating support for regulatory services like emergency call localization and commercial applications such as mapping. LTE networks commonly employ global navigation satellite systems (GNSS), like GPS, to determine locations. However, alternative methods using the LTE air interface are crucial in scenarios where GNSS signals are obstructed, such as indoors or in dense urban environments. An LTE network can support horizontal positioning accuracy of 50m for 80% of mobiles and a vertical positioning accuracy of 5m and an end-to-end latency of 30 seconds.


In 5G, the introduction of high-bandwidth, low-latency communication and new architectural enhancements allows for even more accurate and responsive location services. These improvements support critical use cases like autonomous vehicles, smart cities, and industrial IoT applications. 

5G networks have further improved LCS with high-bandwidth, low-latency communication and architectural enhancements. These innovations enable critical applications like autonomous vehicles, smart cities, and industrial IoT. In Release 15, 5G devices support legacy LTE location protocols through the Gateway Mobile Location Centre (GMLC). From Release 16, the Network Exposure Function (NEF) streamlines location requests for modern applications. A 5G network is expected to deliver a horizontal positioning accuracy of 3m indoors and 10m outdoors, a vertical positioning accuracy of 3m in both environments and an end-to-end latency of one second.

The standardization efforts of 3GPP have ensured that location services meet stringent requirements for accuracy, privacy, and security. Emergency services, for instance, benefit from these standards through Enhanced 911 (E911) in the United States and similar mandates globally, which require precise location reporting for mobile callers. Furthermore, standardization fosters innovation by providing a common foundation on which developers can create new location-based services and applications. As cellular networks continue to evolve, 3GPP’s standardized LCS will remain a cornerstone in bridging connectivity with the physical world, enabling smarter, safer, and more connected societies.

Mpirical recently shared a video exploring the concepts and drivers of Location Services (LCS). It's embedded below:

If you want to learn more about LCS, check out Mpirical's training course on this topic which seeks to provide an end to end exploration of the techniques and technologies involved, including the driving factors, standardization, requirements, architectural elements, protocols and protocol stacks, 2G-5G LCS operation and location finding techniques (overview and specific examples).

Mpirical is a leading provider of telecoms training, specializing in mobile and wireless technologies such as 5G, LTE, and IoT. They boast a course catalogue of wide ranging topics and technologies for all levels, with each course thoughtfully broken down into intuitive learning modules. 

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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.

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Thursday, 17 October 2024

TechKnowledge Technology Stories (Series 1)

TechKnowledge is a series of Technology Stories looking at how technology has evolved over the years and how it will continue to evolve in the future. The series is targeted at youth looking to understand how technology has been evolving and how it will evolve further. It is our intention to make a ten part series but as of yet only four parts are complete. 

Part 1: 'Smaller, Faster, Cheaper and More…' looks at how technology has evolved by things getting smaller, faster, cheaper and much more. It investigates Moore’s law and how it has helped create a future technology roadmap.

Part 2: 'Connecting Everything Everywhere…' discusses different connectivity options available to connect various devices, gadgets and appliances to the internet. It highlights the fact that this is just the beginning, and everything that can be connected will eventually get connected.

Part 3: 'Satellites - Our Friends In The Sky…' discusses the fact that they are our friends and helpers in the sky. In discusses how satellites are useful as a connectivity option, how it helps us map and navigate, how we can use location based services, how we can watch broadcast video or listen to broadcast radio, and last but not least, how satellites are helping us observe and monitor the earth. 

Part 4: 'Devices and Gadgets - Our Companions and Life Savers…' looks at the fact that we use a variety of electronic devices/gadgets in our everyday lives to make it more convenient, efficient, and even keep us connected. From smartphones and laptops to smart home appliances and wearable tech, these devices simplify tasks, enhance productivity, and provide instant access to information and communication. They help us manage work, stay in touch with loved ones, and access entertainment on the go. Gadgets like fitness trackers promote healthier lifestyles, while others automate household chores, saving time and energy. Overall, the connected devices & gadgets have become essential tools in modern life, blending seamlessly into our routines and transforming how we live and interact.

The playlist of the videos is embedded below:

The slides can be downloaded from here.

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Wednesday, 28 August 2024

Explaining Telecoms

Over the years we have made a lot of tutorials explaining mobile wireless technology (list here). Here is another one that came up as part of a discussion where many experienced telecom engineers seemed to be struggling explaining what telecoms mean. Slides and video embedded below:

Slides:

Video:

You can download the pdf from here.

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Thursday, 27 June 2024

Short Tutorial on Mission Critical Services in LTE and 5G

Over the years we have looked at the standards development, infrastructure development and even country specific mission critical solutions development in various blog posts. In this post we are sharing this short new tutorial by Mpirical on mission critical services in LTE and 5G. The video is embedded below:

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Wednesday, 13 September 2023

Private Networks Introductory Series

Private Networks has been a hot topic for a while now. We made a technical introductory video which has over 13K views while its slides have over 25K views. The Private Networks blog that officially started in April is now getting over 2K views a month. 

In addition, there are quite a few questions and enquiries that I receive on them on a regular basis. With this background, it makes sense to add these Introductory video series by Firecell in a post. Their 'Private Networks Tutorial Series' playlist, aiming to demystify private networks, is embedded below:

The playlist has five videos at the moment, hopefully they will add more:

  • Introduction to different kinds of mobile networks: public, private and hybrid networks
  • Different Names for Private Networks
  • Drivers and Enablers of Private Networks
  • Mobile Cellular vs Wi-Fi Private Networks
  • Architecture of Mobile Private Networks

I also like this post on different names for private networks.

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Thursday, 3 August 2023

Tutorial: A Quick Introduction to 3GPP

We recently made a beginners tutorial explaining the need for The 3rd Generation Partnership Project (3GPP), its working, structure and provides useful pointers to explore further. The video and slides are embedded below.

You can download the slides from here.

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Monday, 19 September 2022

Is there a compelling Business Case for 5G Network Slicing in Public Networks?

Since the industry realised how the 5G Network Architecture will look like, Network Slicing has been touted as the killer business case that will allow the mobile operators to generate revenue from new sources.

Last month ABI Research said in a press release:

According to global technology intelligence firm ABI Research, 5G slicing revenue is expected to grow from US$309 million in 2022 to approximately US$24 billion in 2028, at a Compound Annual Growth Rate (CAGR) of 106%. 

“5G slicing adoption falls into two main categories. One, there is no connectivity available. Two, there is connectivity, but there is not sufficient capacity, coverage, performance, or security. For the former, both private and public organizations are deploying private network slices on a permanent and ad hoc basis,” highlights Don Alusha, 5G Core and Edge Networks Senior Analyst at ABI Research. The second scenario is mostly catered by private networks today, a market that ABI Research expects to grow from US$3.6 billion to US$109 billion by 2023, at a CAGR of 45.8%. Alusha continues, “A sizable part of this market can be converted to 5G slicing. But first, the industry should address challenges associated with technology and commercial models. On the latter, consumers’ and enterprises’ appetite to pay premium connectivity prices for deterministic and tailored connectivity services remains to be determined. Furthermore, there are ongoing industry discussions on whether the value that comes from 5G slicing can exceed the cost required to put together the underlying slicing ecosystem.”

Earlier this year, Daryl Schoolar - Research Director at IDC tackled this topic in his blog post:

5G network slicing, part of the 3GPP standards developed for 5G, allows for the creation of multiple virtual networks across a single network infrastructure, allowing enterprises to connect with guaranteed low latency. Using principles behind software-defined network and network virtualization, slicing allows the mobile operator to provide differentiated network experience for different sets of end users. For example, one network slice could be configured to support low latency, while another slice is configured for high download speeds. Both slices would run across the same underlying network infrastructure, including base stations, transport network, and core network.

Network slicing differs from private mobile networks, in that network slicing runs on the public wide area network. Private mobile networks, even when offered by the mobile operator, use infrastructure and spectrum dedicated to the end user to isolate the customer’s traffic from other users.

5G network slicing is a perfect candidate for future business connectivity needs. Slicing provides a differentiated network experience that can better match the customers performance requirements than traditional mobile broadband. Until now, there has been limited mobile network performance customization outside of speeds. 5G network slicing is a good example of telco service offerings that meet future of connectivity requirements. However, 5G network slicing also highlights the challenges mobile operators face with transformation in their pursuit of remaining relevant.

For 5G slicing to have broad commercial availability, and to provide a variety of performance options, several things need to happen first.

  • Operators need to deploy 5G Standalone (SA) using the new 5G mobile core network. Currently most operators use the 5G non-standalone (NSA) architecture that relies on the LTE mobile core. It might be the end of 2023 before the majority of commercial 5G networks are using the SA mode.
  • Spectrum is another hurdle that must be overcome. Operators still make most of their revenue from consumers, and do not want to compromise the consumer experience when they start offering network slicing. This means operators need more spectrum. In the U.S., among the three major mobile operators, only T-Mobile currently has a nationwide 5G mid-band spectrum deployment. AT&T and Verizon are currently deploying in mid-band, but that will not be completed until 2023.
  • 5G slicing also requires changes to the operator’s business and operational support systems (BSS/OSS). Current BSS/OSS solutions were not designed to support the increased parameters those systems were designed to support.
  • And finally, mobile operators still need to create the business propositions around commercial slicing services. Mobile operators need to educate businesses on the benefits of slicing and how slicing supports their different connectivity requirements. This could involve mobile operators developing industry specific partnerships to reach different business segments. All these things take time to be put into place.

Because of the enormity of the tasks needed to make 5G network slicing a commercial success, IDC currently has a very conservative outlook for this service through 2026. IDC believes it will be 2023 until there is general commercial availability of 5G network slicing. The exception is China, which is expected to have some commercial offerings in 2022 as it has the most mature 5G market. Even then, it will take until 2025 before global revenues from slicing exceeds a billion U.S. dollars. In 2026 IDC forecasts slicing revenues will be approximately $3.2 billion. However, over 80% of those revenues will come out of China.

The 'Outspoken Industry Analyst' Dean Bubley believes that Network Slicing is one of the worst strategic errors made by the mobile industry, since the catastrophic choice of IMS for communications applications. In a LinkedIn post he explains:

At best, slicing is an internal toolset that might allow telco operations or product teams (or their vendors) to manage their network resources. For instance, it could be used to separate part of a cell's capacity for FWA, and dynamically adjust that according to demand. It might be used as an "ingredient" to create a higher class of service for enterprise customers, for instance for trucks on a highway, or as part of an "IoT service" sold by MNOs. Public safety users might have an expensive, artisanal "hand-carved" slice which is almost a separate network. Maybe next-gen MVNOs.

(I'm talking proper 3GPP slicing here - not rebranded QoS QCI classes, private APNs, or something that looks like a VLAN, which will probably get marketed as "slices")

But the idea that slicing is itself a *product*, or that application developers or enterprises will "buy a slice" is delusional.

Firstly, slices will be dependent on [good] coverage and network control. A URLLC slice likely won't work reliably indoors, underground, in remote areas, on a train, on a neutral-host network, or while roaming. This has been a basic failure of every differentiated-QoS monetisation concept for many years, and 5G's often-higher frequencies make it worse, not better.

Secondly, there is no mature machinery for buying, selling, testing, supporting. price, monitoring slices. No, the 5G Network Exposure Function won't do it all. I haven't met a Slice salesperson yet, or a Slice-procurement team.

Thirdly, a "local slice" of a national 5G network will run headlong into a battle with the desire for separate private/dedicated local 5G networks, which may well be cheaper and easier. It also won't work well with the enterprise's IT/OT/IP domains, out of the box.

Also there's many challenges getting multi-operator slices, device OS links to slice APIs, slice "boundary controllers" between operators, aligning RAN and core slices, regulatory questionmarks and much more.

There are lots of discussion in the comments section that may be of interest to you, here.

My belief is that we will see lots of interesting use cases with slicing in public networks but it will be difficult to monetise. The best networks will manage to do it to create some plans with guaranteed rates and low latency. It would remain to be see whether they can successfully monetise it well enough. 

For technical people and newbies, there are lots of Network Slicing resources on this blog (see related posts 👇). Here is another recent video from Mpirical:

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