Showing posts with label 5G-Advanced. Show all posts
Showing posts with label 5G-Advanced. Show all posts

Tuesday, 1 April 2025

5G-Advanced Store and Forward (S&F): Enabling Resilient IoT Communications via Satellite

Introduction

As the deployment of 5G networks continues to expand globally, the industry is already looking ahead to enhance capabilities through 5G-Advanced features. Among these innovations is the "Store and Forward" (S&F) functionality for Non-Terrestrial Networks (NTN), which represents a significant advancement for IoT applications utilizing satellite connectivity. This feature, specified in 3GPP Release 19, addresses one of the key challenges in satellite communications: maintaining service continuity during intermittent feeder link connectivity.

What is Store and Forward?

Store and Forward (S&F) satellite operation is designed to provide communication services for User Equipment (UE) under satellite coverage without requiring a simultaneous active feeder link connection to the ground segment. This capability is particularly relevant for delay-tolerant IoT services utilizing Non-Geostationary Orbit (NGSO) satellites.

In simple terms, S&F enables satellites to:

  • Collect data from IoT devices when they're in range
  • Store this data onboard the satellite
  • Forward the data to ground stations only when a connection becomes available

This approach fundamentally differs from traditional satellite operations, which require end-to-end connectivity at the moment of transmission.

Source3GPP TR 22.865: Technical Specification Group Services and System Aspects; Study on satellite access Phase 3;

Normal Operation vs. Store and Forward

To understand the significance of S&F, it's important to contrast it with the "normal/default satellite operation" mode:

Normal/Default Satellite Operation

In the traditional model, signalling and data traffic exchange between a UE with satellite access and the ground network requires both service and feeder links to be active simultaneously. This creates a continuous end-to-end connectivity path between the UE, satellite, and ground network.

Store and Forward Operation

Under S&F operation, the end-to-end exchange of signalling/data traffic is handled as a two-step process that doesn't need to occur concurrently:

  • Step A: Signalling/data exchange between the UE and satellite takes place even without the satellite being connected to the ground network. The satellite operates the service link without an active feeder link connection, collecting and storing data from IoT devices.
  • Step B: Later, when connectivity between the satellite and ground network is established, the stored communications are transmitted to the ground network.

This approach bears similarities to existing store-and-forward services like SMS, where end-to-end connectivity between endpoints isn't required simultaneously.

Technical Requirements for Store and Forward

The implementation of S&F relies heavily on regenerative satellite payloads, as opposed to transparent payloads. Here's why this distinction matters:

Regenerative Payload Advantages

A regenerative payload with an onboard gNB (next-generation NodeB) offers several critical capabilities:

  • Onboard Processing: The ability to process and store data directly on the satellite
  • Reduced Dependency: Less reliance on continuous ground segment connectivity
  • Enhanced Resilience: The NTN can function even if the feeder link is temporarily severed
  • Performance Improvements: Significant reductions in roundtrip time for all procedures between the gNB and UE

For S&F functionality, all or part of the core network functions must be placed on the satellite together with the gNB. This architectural change enables a new level of autonomous operation for satellite networks.

Applications for IoT

The Store and Forward capability is especially suited for delay-tolerant or non-real-time IoT applications. Examples include:

  • Environmental Monitoring: Collecting sensor data from remote locations
  • Asset Tracking: Monitoring the status of assets in transit through areas with limited ground infrastructure
  • Agricultural Sensing: Gathering data from widely distributed sensors in rural areas
  • Maritime and Offshore IoT: Supporting connected devices at sea where direct connectivity to ground networks is inconsistent

These use cases benefit from S&F's ability to ensure data is eventually delivered without requiring constant connectivity, which is particularly valuable for battery-powered IoT devices that need to conserve energy.

Relationship to Delay-Tolerant Networking

The concept of Store and Forward is well-established in delay-tolerant networking (DTN) and disruption-tolerant networking domains. These networking paradigms are designed to work in challenged environments where conventional protocols may fail due to long delays or frequent disruptions.

In the 3GPP context, S&F can be compared to SMS service, which doesn't require end-to-end connectivity between endpoints but only between the endpoints and the Short Message Service Centre (SMSC), which acts as an intermediate node handling storage and forwarding.

Future Implications

The introduction of S&F functionality represents an important step toward what Ericsson has called "data centers in the sky." By placing not just radio access network functions but also core network capabilities in space, we're moving toward satellite networks that can operate with greater autonomy and resilience.

This development also aligns with broader industry efforts to create truly global coverage through integrated ground and space networks. Combined with inter-satellite links (ISL), S&F enables more flexible and resilient network architectures that can maintain service even when individual links are unavailable.

Conclusion

Store and Forward represents a significant advancement in 5G-Advanced satellite communications, particularly for IoT applications. By decoupling the timing requirements between service link and feeder link communications, S&F enables more resilient, energy-efficient, and cost-effective deployment of IoT devices in remote or challenging environments.

As 3GPP Release 19 specifications continue to develop, we can expect to see this capability integrated into commercial satellite IoT offerings, expanding the reach of 5G networks to truly global coverage. While initially targeted at IoT applications, the architectural principles of S&F could eventually extend to other services, bringing us closer to ubiquitous connectivity across terrestrial and non-terrestrial networks.

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Tuesday, 26 November 2024

Low Latency Power Saving with Low Power-Wake Up Signal/Receiver (LP-WUS/LP-WUR)

Power-saving methodologies have been integral to all generations of 3GPP technologies, aimed at reducing the power consumption of user equipment (UEs) and other battery-dependent devices. Some of the stringent requirements of 5G, such as achieving a 10-year battery life for certain IoT devices, have necessitated further optimisation of power consumption. To address this, 3GPP Release 16 introduced the Wake-Up Signal (WUS) power-saving mechanism, designed to significantly reduce energy usage in UEs. For a detailed technical explanation, ShareTechnote provides an excellent overview.

The concept of wake-up radios has been explored for over a decade. In a 2017 blog post, Ericsson highlighted how researchers had been working on designing wake-up radios and receivers, initially aimed at IEEE 802.11 (Wi-Fi) technologies. This idea later gained traction in 3GPP discussions, culminating in a study conducted during Release 18. The findings are comprehensively documented in 3GPP TR 38.869: Study on low-power wake-up signal and receiver for NR (Release 18).

Quoting from the introduction of 3GPP 38.869:

5G systems are designed and developed targeting for both mobile telephony and vertical use cases. Besides latency, reliability, and availability, UE energy efficiency is also critical to 5G. Currently, 5G devices may have to be recharged per week or day, depending on individual's usage time. In general, 5G devices consume tens of milliwatts in RRC idle/inactive state and hundreds of milliwatts in RRC connected state. Designs to prolong battery life is a necessity for improving energy efficiency as well as for better user experience. 

Energy efficiency is even more critical for UEs without a continuous energy source, e.g., UEs using small rechargeable and single coin cell batteries. Among vertical use cases, sensors and actuators are deployed extensively for monitoring, measuring, charging, etc. Generally, their batteries are not rechargeable and expected to last at least few years as described in TR 38.875. Wearables include smart watches, rings, eHealth related devices, and medical monitoring devices. With typical battery capacity, it is challenging to sustain up to 1-2 weeks as required. 

The power consumption depends on the configured length of wake-up periods, e.g., paging cycle. To meet the battery life requirements above, eDRX cycle with large value is expected to be used, resulting in high latency, which is not suitable for such services with requirements of both long battery life and low latency. For example, in fire detection and extinguishment use case, fire shutters shall be closed and fire sprinklers shall be turned on by the actuators within 1 to 2 seconds from the time the fire is detected by sensors, long eDRX cycle cannot meet the delay requirements. eDRX is apparently not suitable for latency-critical use cases. Thus, the intention is to study ultra-low power mechanism that can support low latency in Rel-18, e.g. lower than eDRX latency.

Currently, UEs need to periodically wake up once per DRX cycle, which dominates the power consumption in periods with no signalling or data traffic. If UEs are able to wake up only when they are triggered, e.g., paging, power consumption could be dramatically reduced. This can be achieved by using a wake-up signal to trigger the main radio and a separate receiver which has the ability to monitor wake-up signal with ultra-low power consumption. Main radio works for data transmission and reception, which can be turned off or set to deep sleep unless it is turned on.

The power consumption for monitoring wake-up signal depends on the wake-up signal design and the hardware module of the wake-up receiver used for signal detecting and processing. 

The study should primarily target low-power WUS/WUR for power-sensitive, small form-factor devices including IoT use cases (such as industrial sensors, controllers) and wearables. Other use cases are not precluded, e.g.XR/smart glasses, smart phones. 

As opposed to the work on UE power savings in previous releases, this study will not require existing signals to be used as WUS. All WUS solutions identified shall be able to operate in a cell supporting legacy UEs. Solutions should target substantial gains compared to the existing Rel-15/16/17 UE power saving mechanisms. Other aspects such as detection performance, coverage, UE complexity, should be covered by the evaluation.

Qualcomm's blog post looking at 'How will wireless innovations foster a greener, more sustainable future?' is also worth reading on this topic.

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Wednesday, 14 August 2024

3GPP Release 18 Description and Summary of Work Items

The first official release of 3GPP TR 21.918: "Release 18 Description; Summary of Rel-18 Work Items" has been published. It's the first official version of 5G-Advanced. Quoting from the report: 

Release 18 specifies further improvements of the 5G-Avanced system. 

These improvements consist both in enhancements of concepts/Features introduced in the previous Releases and in the introduction of new topics.

Some of the key improvements are:

  • a further integration of the Satellite (NTN) access (introduced in Rel-17) in the 5G System (5GS), 
  • a more efficient support of Internet of Things (IoT), Machine-Type Communication (MTC), including by satellite coverage
  • and also several aspects of proximity communication and location (Sidelink, Proximity, Location and Positioning, better support of the industrial needs (Verticals, Industries, Factories, Northbound API), Multicast and Broadcast Services (MBS), Network Slicing or Uncrewed Aerial Vehicles (UAV).

As for the new topics, some of the key aspects are:

  • Energy Efficiency (EE)
  • Artificial Intelligence (AI)/Machine Learning (ML)
  • eXtended, Augmented and Virtual Reality (XR, AR, VR), immersive communications

The following list is from the v1.0.0 table of contents to make it easier to find the list of topics. If it interests you, download the latest version technical report from the directory here.

5 Satellite / Non-Terrestrial Network (NTN)
5.1 General aspects
5.1.1 User plane: “5G system with satellite backhaul”
5.1.2 Discontinuous coverage: “Satellite access Phase 2”
5.1.3 Radio: "NR NTN enhancements"
5.1.4 Charging and Management aspects of Satelite
5.2 Specific aspects
5.2.1 IoT (Internet of Things) NTN enhancements
5.2.2 Guidelines for Extra-territorial 5G Systems
5.2.3 5G system with satellite access to Support Control and/or Video Surveillance
5.2.4 Introduction of the satellite L-/S-band for NR
5.2.5 Other band-related aspects of satellite

6 Internet of Things (IoT), Machine-Type Communication (MTC)
6.1 Personal IoT and Residential networks
6.2 Enhanced support of Reduced Capability (RedCap) NR devices
6.3 NR RedCap UE with long eDRX for RRC_INACTIVE State
6.4 Application layer support for Personal IoT Network
6.5 5G Timing Resiliency System
6.6 Mobile Terminated-Small Data Transmission (MT-SDT) for NR
6.7 Adding new NR FDD bands for RedCap in Rel-18
6.8 Signal level Enhanced Network Selection
6.9 IoT NTN enhancements

7 Energy Efficiency (EE)
7.1 Enhancements of EE for 5G Phase 2
7.2 Network energy savings for NR
7.3 Smart Energy and Infrastructure

8 Uncrewed Aerial Vehicles (UAV), UAS, UAM
8.1 Architecture for UAV and UAM Phase 2
8.2 Architecture for UAS Applications, Phase 2
8.3 NR support for UAV
8.4 Enhanced LTE Support for UAV

9 Sidelink, Proximity, Location and Positioning
9.1 5GC LoCation Services - Phase 3
9.2 Expanded and improved NR positioning
9.3 NR sidelink evolution
9.4 NR sidelink relay enhancements
9.5 Proximity-based Services in 5GS Phase 2
9.6 Ranging-based Service and sidelink positioning
9.7 Mobile Terminated-Small Data Transmission (MT-SDT) for NR
9.8 5G-enabled fused location service capability exposure

10 Verticals, Industries, Factories, Northbound API
10.1 Low Power High Accuracy Positioning for industrial IoT scenarios
10.2 Application enablement aspects for subscriber-aware northbound API access
10.3 Smart Energy and Infrastructure
10.4 Generic group management, exposure and communication enhancements
10.5 Service Enabler Architecture Layer for Verticals Phase 3
10.6 SEAL data delivery enabler for vertical applications
10.7 Rel-18 Enhancements of 3GPP Northbound and Application Layer interfaces and APIs
10.8 Charging Aspects of B2B
10.9 NRF API enhancements to avoid signalling and storing of redundant data
10.10 GBA_U Based APIs
10.11 Other aspects

11 Artificial Intelligence (AI)/Machine Learning (ML)
11.1 AI/ML model transfer in 5GS
11.2 AI/ML for NG-RAN
11.3 AI/ML management & charging
11.4 NEF Charging enhancement to support AI/ML in 5GS

12 Multicast and Broadcast Services (MBS)
12.1 5G MBS Phase 2
12.2 Enhancements of NR MBS
12.3 UE pre-configuration for 5MBS
12.4 Other MBS aspects

13 Network Slicing
13.1 Network Slicing Phase 3
13.2 Enhancement of NSAC for maximum number of UEs with at least one PDU session/PDN connection
13.3 Enhancement of Network Slicing UICC application for network slice-specific authentication and authorization
13.4 Charging Aspects of Network Slicing Phase 2
13.5 Charging Aspects for NSSAA
13.6 Charging enhancement for Network Slice based wholesale in roaming
13.7 Network Slice Capability Exposure for Application Layer Enablement
13.8 Other slice aspects

14 eXtended, Augmented and Virtual Reality (XR, AR, VR), immersive
14.1 XR (eXtended Reality) enhancements for NR
14.2 Media Capabilities for Augmented Reality
14.3 Real-time Transport Protocol Configurations
14.4 Immersive Audio for Split Rendering Scenarios  (ISAR)
14.5 Immersive Real-time Communication for WebRTC
14.6 IMS-based AR Conversational Services
14.7 Split Rendering Media Service Enabler
14.8 Extended Reality and Media service (XRM)
14.9 Other XR/AR/VR items

15 Mission Critical and emergencies
15.1 Enhanced Mission Critical Push-to-talk architecture phase 4
15.2 Gateway UE function for Mission Critical Communication
15.3 Mission Critical Services over 5MBS
15.4 Mission Critical Services over 5GProSe
15.5 Mission Critical ad hoc group Communications
15.6 Other Mission Critical aspects

16 Transportations (Railways, V2X, aerial)
16.1 MBS support for V2X services
16.2 Air-to-ground network for NR
16.4 Interconnection and Migration Aspects for Railways
16.5 Application layer support for V2X services; Phase 3
16.6 Enhanced NR support for high speed train scenario in frequency range 2 (FR2)

17 User Plane traffic and services
17.1 Enhanced Multiparty RTT
17.2 5G-Advanced media profiles for messaging services
17.3 Charging Aspects of IMS Data Channel
17.4 Evolution of IMS Multimedia Telephony Service
17.5 Access Traffic Steering, Switch and Splitting support in the 5G system architecture; Phase 3
17.6 UPF enhancement for Exposure and SBA
17.7 Tactile and multi-modality communication services
17.8 UE Testing Phase 2
17.9 5G Media Streaming Protocols Phase 2
17.10 EVS Codec Extension for Immersive Voice and Audio Services
17.11 Other User Plane traffic and services items

18 Edge computing
18.1 Edge Computing Phase 2
18.2 Architecture for enabling Edge Applications Phase 2
18.3 Edge Application Standards in 3GPP and alignment with External Organizations

19 Non-Public Networks
19.1 Non-Public Networks Phase 2
19.2 5G Networks Providing Access to Localized Services
19.3 Non-Public Networks Phase 2

20 AM and UE Policy
20.1 5G AM Policy
20.2 Enhancement of 5G UE Policy
20.3 Dynamically Changing AM Policies in the 5GC Phase 2
20.4 Spending Limits for AM and UE Policies in the 5GC
20.5 Rel-18 Enhancements of UE Policy

21 Service-based items
21.1 Enhancements on Service-based support for SMS in 5GC
21.2 Service based management architecture
21.3 Automated certificate management in SBA
21.4 Security Aspects of the 5G Service Based Architecture Phase 2
21.5 Service Based Interface Protocol Improvements Release 18

22 Security-centric aspects
22.1 IETF DTLS protocol profile for AKMA and GBA
22.2 IETF OSCORE protocol profiles for GBA and AKMA
22.3 Home network triggered primary authentication
22.4 AKMA phase 2
22.5 5G Security Assurance Specification (SCAS) for the Policy Control Function (PCF)
22.6 Security aspects on User Consent for 3GPP services Phase 2
22.7 SCAS for split-gNB product classes
22.8 Security Assurance Specification for AKMA Anchor Function Function (AAnF)
22.9 Other security-centric items

23 NR-only items
23.1 Not band-centric
23.1.1 NR network-controlled repeaters
23.1.2 Enhancement of MIMO OTA requirement for NR UEs
23.1.3 NR MIMO evolution for downlink and uplink
23.1.4 Further NR mobility enhancements
23.1.5 In-Device Co-existence (IDC) enhancements for NR and MR-DC
23.1.6 Even Further RRM enhancement for NR and MR-DC
23.1.7 Dual Transmission Reception (TxRx) Multi-SIM for NR
23.1.8 NR support for dedicated spectrum less than 5MHz for FR1
23.1.9 Enhancement of NR Dynamic Spectrum Sharing (DSS)
23.1.10 Multi-carrier enhancements for NR
23.1.11 NR RF requirements enhancement for frequency range 2 (FR2), Phase 3
23.1.12 Requirement for NR frequency range 2 (FR2) multi-Rx chain DL reception
23.1.13 Support of intra-band non-collocated EN-DC/NR-CA deployment
23.1.14 Further enhancements on NR and MR-DC measurement gaps and measurements without gaps
23.1.15 Further RF requirements enhancement for NR and EN-DC in frequency range 1 (FR1)
23.1.16 Other non-band related items
23.2 Band-centric
23.2.1 Enhancements of NR shared spectrum bands
23.2.2 Addition of FDD NR bands using the uplink from n28 and the downlink of n75 and n76
23.2.3 Complete the specification support for BandWidth Part operation without restriction in NR
23.2.4 Other NR band related topics

24 LTE-only items
24.1 High Power UE (Power Class 2) for LTE FDD Band 14
24.2 Other LTE-only items

25 NR and LTE items
25.1 4Rx handheld UE for low NR bands (<1GHz) and/or 3Tx for NR inter-band UL Carrier Aggregation (CA) and EN-DC
25.2 Enhancement of UE TRP and TRS requirements and test methodologies for FR1 (NR SA and EN-DC)
25.3 Other items

26 Network automation
26.1 Enablers for Network Automation for 5G phase 3
26.2 Enhancement of Network Automation Enablers

27 Other aspects
27.1 Support for Wireless and Wireline Convergence Phase 2
27.2 Secondary DN Authentication and authorization in EPC IWK cases
27.3 Mobile IAB (Integrated Access and Backhaul) for NR
27.4 Further NR coverage enhancements
27.5 NR demodulation performance evolution
27.6 NR channel raster enhancement
27.7 BS/UE EMC enhancements for NR and LTE
27.8 Enhancement on NR QoE management and optimizations for diverse services
27.9 Additional NRM features phase 2
27.10 Further enhancement of data collection for SON (Self-Organising Networks)/MDT (Minimization of Drive Tests) in NR and EN-DC
27.11 Self-Configuration of RAN Network Entities
27.12 Enhancement of Shared Data ID and Handling
27.13 Message Service within the 5G system Phase 2
27.14 Security Assurance Specification (SCAS) Phase 2
27.15 Vehicle-Mounted Relays
27.16 SECAM and SCAS for 3GPP virtualized network products
27.17 SECAM and SCAS for 3GPP virtualized network products
27.18 MPS for Supplementary Services
27.19 Rel-18 enhancements of session management policy control
27.20 Seamless UE context recovery
27.21 Extensions to the TSC Framework to support DetNet
27.22 Multiple location report for MT-LR Immediate Location Request for regulatory services
27.23 Enhancement of Application Detection Event Exposure
27.24 General Support of IPv6 Prefix Delegation in 5GS
27.25 5G Timing Resiliency System
27.26 MPS when access to EPC/5GC is WLAN
27.27 Data Integrity in 5GS
27.28 Security Enhancement on RRCResumeRequest Message Protection

28 Administration, Operation, Maintenance and Charging-centric Features
28.1 Introduction
28.2 Intent driven Management Service for Mobile Network phase 2
28.3 Management of cloud-native Virtualized Network Functions
28.4 Management of Trace/MDT phase 2
28.5 Security Assurance Specification for Management Function (MnF)
28.6 5G performance measurements and KPIs phase 3
28.7 Access control for management service
28.8 Management Aspects related to NWDAF
28.9 Management Aspect of 5GLAN
28.10 Charging Aspects of TSN
28.11 CHF Distributed Availability
28.12 Management Data Analytics phase 2
28.12 5G System Enabler for Service Function Chaining
28.13 Other Management-centric items

29 Other Rel-18 Topics

If you find them useful then please get the latest document from here.

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Monday, 6 May 2024

6G and Other 3GPP Logos

The Project Coordination Group (PCG) of 3GPP recently approved a new logo for use on specifications for 6G, during their 52nd PCG meeting, hosted by ATIS in Reston, Virginia. As with previous logos, surely people in general will use them not just for 3GPP 6G compliant products, but for all kinds of things.

Over the years many people have reached out to me to ask for 3GPP logos, even though they are available publicly. All 3GPP logos, from 3G to 6G is available in the Marcoms directory here. In addition to the logo, each directory also lists guidance for use of the logos. For example, 3GPP does not allow the use of the logo as shown on the left in the image on top of the post while the one on the right is okay.

Surely there isn't an issue for general use but for anyone wishing to use the logos for their products, equipment, documentation or books, they will have to strictly comply with the rules.

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Friday, 8 December 2023

6G Global - Videos & Presentations from Mobile Korea 2023

5G Forum, South Korea organises Mobile Korea conference every year. Mobile Korea 2023 had two conferences within it, '6G Global', looking at 'Beyond Connectivity and New Possibilities', and '5G Vertical Summit', looking at 'Leading to Sustainable Society with 5G'.

I often complain about how organisations working in 6G often lack social networks skills, in this case, even the website is not very user friendly and doesn't contain a lot of details. Full marks for uploading the videos on YouTube though.

Anyway, here are the videos and presentations that were shared from the summit:

  • Opening + Keynote Session - Moderator : LEE, HyeonWoo, DanKook University
    • Standardization and Technical Trend for 6G, SungHyun CHOI, Samsung Research (video, presentation)
  • Session 1 : 6G Global Trend - Moderator : JaeHoon CHUNG, LG Electronics Inc.
    • Thoughts on standardization and Industry priorities to ensure timely market readiness for 6G, Sari NIELSEN, Nokia (video, presentation)
    • On the convergence route for 6G, Wen TONG, Huawei (video, presentation)
    • The Path from 5G to 6G: Vision and Technology, Edward G. TIEDMANN, Qualcomm Technologies  (video, presentation)
    • Shaping 6G – Technology and Services, Bo HAGERMAN, Ericsson (video, presentation)
  • Government Session
    • Keynote : Korea's 6G R&D Promotion Strategy, KyeongRae CHO, Ministry of Science and ICT (video, presentation)
  • Session 2 : 6G Global Collaboration - Moderator : Juho LEE, Samsung Electronics
  • 6G R&D and promotion in Japan, Kotaro KUWAZU, B5GPC (video, presentation)
    • Technology evolution toward beyond 5G and 6G, Charlie ZHANG, Samsung Research (video, presentation)
    • AI-Native RAN and Air Interface : Promises and Challenges, Balaji Raghothaman, Keysight (video, presentation)
    • Enabling 6G Research through Rapid Prototyping and Test LEE, SeYong, (NI) (video, presentation)
    • Global Collaborative R&D Activities for Advanced Radio Technologies, JaeHoon CHUNG, LG Electronics (video, presentation)
    • International research collaboration – key to a sustainable 6G road, Thomas HAUSTEIN, Fraunhofer Heinrich Hertz Institute (video, presentation)
    • 6G as Cellular Network 2.0: A Networked Computing Perspective, KyungHan LEE, Seoul National University (video, presentation)
    • Towards a Sustainable 6G, Marcos KATZ, University of Oulu (video, presentation)
  • Pannel Discussion : Roles of Public Domain in 6G R&D - Moderator : HyeonWoo LEE, DanKook University
  • Session 3 : 6G Global Mega Project - Moderator: YoungJo KO, ETRI
    • Sub-THz band wireless transmission and access technology for 6G Tbps data rate, JuYong LEE, KAIST (video, presentation)
    • The post Shannon Era: Towards Semantic, Goal-Oriented and Reconfigurable Intelligent Environments aided 6G communications, Emilio CALVANESE STRINATI, CEA Leti (video, presentation)
    • Demonstration of 1.4 Tbits wireless transmission using OAM multiplexing technology in the sub-THz band, DooHwan LEE, NTT Corporation (video, presentation)
    • Latest 6G research progress in China, Zhiqin WANG, CAICT (video, presentation)

If there are no links in video/presentation than it hasn't been shared.

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Wednesday, 4 October 2023

Presentations from 2nd IEEE Open RAN Summit

The second IEEE SA (Standards Association) Open RAN summit, hosted by the Johns Hopkins University Applied Physics Lab, took place on 9-10 Aug 2023. It covered the topics related to the standardization of Open RAN including O-RAN Alliance, 3GPP, IEEE, various deployment scenarios, testing and integration, Open RAN security, RAN slicing, and RAN optimization among others. 

The videos of the presentations can be viewed on the summit page here or though the video playlist here.

The talk from Dr. Chih-Lin I, O-RAN Alliance TSC Co-Chair and CMCC Chief Scientist, Wireless Technologies on 'AI/ML impact, from 5.5G to 6G' is embedded below:

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Friday, 3 February 2023

ATIS Webinar on "3GPP Release 18 Overview: A World of 5G-Advanced"

Yesterday, ATIS, one of the seven 3GPP Organizational Partner (OP), delivered on online webinar on 3GPP Release 18 Overview: The World of 5G-Advanced. A summary of the webinar according to ATIS as follows:

As the first release of 5G-Advanced, Release 18 has been progressing well despite the challenges in fully resuming 3GPP face-to-face meetings in 2022.

In this webinar, ATIS provides a high-level summary of 3GPP Release 18: the confirmed Rel-18 timeline, status for the ongoing study and work items, and the newly converted work items from the completed study items. We also give a brief introduction of the preparation for Release 19 aiming for approval of the package of projects in December 2023.

Distinguished speakers included:

  • Wanshi Chen (Qualcomm, Chair of 3GPP RAN Plenary) will provide a view on radio interface and RAN system aspects.
  • Puneet Jain (Intel, Chair of 3GPP System Architecture Group – SA2) will look at whole system capabilities and network aspects.
  • Moderator: Iain Sharp, Principal Technologist, ATIS

The recording of the webinar is embedded below and slides available here.

Just a reminder, 5G covers Release 15, 16 and 17. 5G-Advanced is Release-18 onwards. Ideally, 18, 18 and 20. 6G should start with Release 21. Based on the current industry adoption of 5G, there is no reason to push the next generation on the operators before it's mature and everyone is ready to take it onboard.

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Monday, 22 August 2022

DCCA Features and Enhancements in 5G New Radio

In another new whitepaper on 5G-Advanced, Nokia has detailed DCCA (DC + CA) features and enhancements from Rel-15 until Rel-18. The following is an extract from the paper:

Mobility is one of the essential components of 5G-Advanced. 3GPP has already defined a set of functionalities and features that will be a part of the 5G-Advanced Release 18 package. These functionalities can be grouped into four areas: providing new levels of experience, network extension into new areas, mobile network expansion beyond connectivity, and providing operational support excellence. Mobility enhancements in Release 18 will be an important part of the ‘Experience enhancements” block of features, with the goal of reducing interruption time and improving mobility robustness.

Fig. 2 shows a high-level schematic of mobility and dual connectivity (DC)/Carrier Aggregation (CA) related mechanisms that are introduced in the different 5G legacy releases towards 5G-Advanced in Release 18. Innovations such as Conditional Handover (CHO) and dual active protocol stack (DAPS) are introduced in Release 16. More efficient operation of carrier aggregation (CA), dual connectivity (DC), and the combination of those denoted as DCCA, as well as Multi-Radio Access Technology DC (MR-DC) are introduced through Releases 16 and 17.

For harvesting the full benefits of CA/DC techniques, it is important to have an agile framework where secondary cell(s) are timely identified and configured to the UE when needed. This is of importance for non-standalone (NSA) deployments where a carrier on NR should be quickly configured and activated to take advantage of 5G. Similarly, it is of importance for standalone (SA) cases where e.g. a UE with its Primary Cell (PCell) on NR Frequency Range 1 (FR1) wants to take additional carriers, either on FR1 and/or FR2 bands, into use. Thus, there is a need to support cases where the aggregated carriers are either from the same or difference sites. The management of such additional carriers for a UE shall be highly agile in line with the user traffic and QoS demands; quickly enabling usage of additional carriers when needed and again quickly released when no longer demanded to avoid unnecessary processing at the UE and to reduce its energy consumption. This is of particular importance for users with time-varying traffic demands (aka burst traffic conditions).

In the following, we describe how such carrier management is gradually improved by introducing enhancements for cell identification, RRM measurements and reduced reporting delays from UEs. As well as innovations related to Conditional PSCell Addition and Change (CPAC) and deactivation of secondary cell groups are outlined.

The paper goes on to discuss the following scenarios in detail for DCCA enhancements:

  • Early measurement reporting
  • Secondary cell (SCell) activation time improvements
    • Direct SCell activation
    • Temporary RS (TRS)-based SCell Activation
  • Conditional Secondary Node (SN) addition and change for fast access
  • Activation of secondary cell group

The table below summarizes the DCCA features in 5G NR

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Wednesday, 10 August 2022

AI/ML Enhancements in 5G-Advanced for Intelligent Network Automation

Artificial Intelligence (AI) and Machine Learning (ML) has been touted to automate the network and simplify the identification and debug of issues that will arise with increasing network complexity. For this reason 3GPP has many different features that are already present in Release-17 but are expected to evolve further in Release-18. 

I have already covered some of this topics in earlier posts. Ericsson's recent whitepaper '5G Advanced: Evolution towards 6G' also has a good summary on this topic. Here is an extract from that:

Intelligent network automation

With increasing complexity in network design, for example, many different deployment and usage options, conventional approaches will not be able to provide swift solutions in many cases. It is well understood that manually reconfiguring cellular communications systems could be inefficient and costly.

Artificial intelligence (AI) and machine learning (ML) have the capability to solve complex and unstructured network problems by using a large amount of data collected from wireless networks. Thus, there has been a lot of attention lately on utilizing AI/ML-based solutions to improve network performance and hence providing avenues for inserting intelligence in network operations.

AI model design, optimization, and life-cycle management rely heavily on data. A wireless network can collect a large amount of data as part of its normal operations. This provides a good base for designing intelligent network solutions. 5G Advanced addresses how to optimize the standardized interfaces for data collection while leaving the automation functionality, for example, training and inference up to the proprietary implementation to support full flexibility in the automation of the network.

AI/ML for RAN enhancements

Three use cases have been identified in the Release 17 study item related to RAN performance enhancement by using AI/ML techniques. Selected use cases from the Release 17 technical report will be taken into the normative phase in the next releases. The selected use cases are: 1) network energy saving; 2) load balancing; and 3) mobility optimization.

The selected use cases can be supported by enhancements to current NR interfaces, targeting performance improvements using AI/ML functionality in the RAN while maintaining the 5G NR architecture. One of the goals is to ensure vendor incentives in terms of innovation and competitiveness by keeping the AI model implementation specific. As shown in Fig.2 (on the top) an intent-based management approach can be adopted for use cases involving RAN-OAM interactions. The intent will be received by the RAN. The RAN will need to understand the intent and trigger certain functionalities as a result.

AI/ML for physical layer enhancements

It is generally expected that AI/ML functionality can be used to improve the radio performance and/or reduced the complexity/overhead of the radio interface. 3GPP TSG RAN has selected three use cases to study the potential air interface performance improvements through AI/ML techniques, such as beam management, channel state information feedback enhancement, and positioning accuracy enhancements for different scenarios. The AI/ML-based methods may provide benefits compared to traditional methods in the radio interface. The challenge will be to define a unified AI/ML framework for the air interface by adequate AI/ML model characterization using various levels of collaboration between gNB and UE.

AI/ML in 5G core

5G Advanced will provide further enhancements of the architecture for analytics and on ML model life-cycle management, for example, to improve correctness of the models. The advancements in the architecture for analytics and data collection serve as a good foundation for AI/ML-based use cases within the different network functions (NFs). Additional use cases will be studied where NFs make use of analytics with the target to support in their decision making, for example, network data analytics functions (NWDAF)- assisted generation of UE policy for network slicing.

If you are interested in studying this topic further, check out 3GPP TR 37.817: Study on enhancement for data collection for NR and ENDC. Download the latest version from here.

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Tuesday, 15 February 2022

What Is the Role of AI and ML in the Open RAN and 5G Future?

Artificial Intelligence and Machine Learning have moved on from just being buzzwords to bringing much needed optimization and intelligence in devices, networks and infrastructure; whether on site, on the edge or in the cloud.

Qualcomm has been very active in talking about AI/ML in webinars and on their site. A detailed blog post looking at 'What’s the role of artificial intelligence in the future of 5G and beyond?' is available here. It was posted in time for a Light Reading webinar where Gabriel Brown, Principal Analyst – Mobile Networks and 5G, Heavy Reading and Tingfang Ji, Senior Director, Engineering - Wireless R&D, Qualcomm discuss the topic. The video is embedded below and slide deck is available here.

Louis Scialabba, Senior Director of Marketing at Mavenir, looking at AI and Analytics spoke at Layer 123 conference on the topic, 'AI/ML for Next Gen 5G Mobile Networks'. His talk is embedded below and a blog post by him on the topic, 'The RIC Opens a New World of Opportunities for CSPs' is available here.

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