5G communications

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rLEDBAT for QUIC

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Hi,

We have submitted a new Internet draft describing rLEDBAT for Quic (RXQ). RXQ a set of mechanisms that enable the execution of a less-than-best-effort congestion control algorithm for QUIC at the receiver end. This draft explores adaptation strategies for integrating rLEDBAT with QUIC's framework, aiming to maintain compatibility with QUIC.

You can find it here: https://www.ietf.org/archive/id/draft-bagnulo-iccrg-rledbat-quic-00.txt

Towards autonomous open radio access networks

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This work gives an overview of an open disaggregated network architecture based on an Open Radio Access Network (O-RAN), including the current work from standards bodies and industry bodies in this area. Based on this architecture, a framework for the automation of xApp development and deployment is proposed. This is then aligned with the key concepts described in ITU-T in terms of the evolution, experimentation, and adaptation of controllers. The various steps in such an aligned workflow, including design, validation, and deployment of xApps, are discussed, and use case examples are provided to illustrate further our position regarding the mechanisms needed to achieve automation.

 

https://www.itu.int/pub/S-JNL-VOL4.ISSUE2-2023-A19

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ITU-T draft Recommendation “Architecture framework for Autonomous Networks” (ITU-T Y.AN-Arch-fw)

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Summary
This Recommendation provides requirements, architecture, components and related sequence diagrams which together comprises an architecture framework for autonomous networks.

The scope of this Recommendation includes:

  • Requirements for the architecture
  • Description of the architecture and its components
  • Sequence diagrams explaining the interactions between the architecture components
     

Keywords
Architecture framework, autonomous networks, components, dynamic adaptation, experimentation,
exploratory evolution, requirements, sequence diagram

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The initial draft output from the Focus Group on Autonomous Networks (website) can be found here.

The under discussion draft recommendation can be found here.

ITU-T Focus Group on Autonomous Networks

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ITU-T Focus Group on Autonomous Networks was established by ITU-T Study Group 13 at its virtual meeting, 17 December 2020​.​ The Focus Group will draft technical reports and specifications for autonomous networks, including exploratory evolution in future networks, real-time responsive experimentation, dynamic adaptation to future environments, technologies, and use cases. The Focus Group will also identify relevant gaps in the standardization of autonomous networks.​

The primary objective of the Focus Group is to provide an open platform to perform pre-standards activities related to autonomous networks and leverage the technologies of others where appropriate.

More information can be found here.

Congestion Control Invariants discussion started at the IETF

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A new Internet draft is available at the CONGRESS WG at the IETF discussing the idea of Congestion Control Invariants, that is mechanisms that several CCAs implement and that would benefit from a common specification for all CCAs to improve their interoperability. You can find the document at: https://datatracker.ietf.org/doc/draft-bagnulo-congress-cci/

Low Latency Low Loss Scalable throughput standards published by the IETF

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Low Latency Low Loss Scalable throughput is a technology a novel technology that allows to significnatly reduce the queueing delay and achieve a high throughput. Multiple networks are adopting and its usage for 5G netwokrs are being considered.

The standards composing L4S have been recently published by the IETF:

- RFC 9330: Low Latency, Low Loss, and Scalable Throughput (L4S) Internet Service: Architecture. https://datatracker.ietf.org/doc/rfc9330/

- RFC 9331: The Explicit Congestion Notification (ECN) Protocol for Low Latency, Low Loss, and Scalable Throughput (L4S) https://www.rfc-editor.org/info/rfc9331

- RFC 9332: Dual-Queue Coupled Active Queue Management (AQM) for Low Latency, Low Loss, and Scalable Throughput (L4S) https://www.rfc-editor.org/info/rfc9332

 

 

 

 

3GPP RAN2 Working Group Discussion on NTN IoT Mobility Enhancements

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The attached contribution discusses idle and connected mode mobility for IoT NTN in the 3GPP RAN2 Working Group 119-e meeting. You can also reach the contribution from https://www.3gpp.org/ftp/tsg_ran/WG2_RL2/TSGR2_119-e/Docs/R2-2208146.zip 

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Study on Narrow-Band Internet of Things (NB-IoT) / enhanced Machine Type Communication (eMTC) support for Non-Terrestrial Networks (NTN)

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The aim of this document is to study a set of necessary features/adaptations enabling the operation of the IoT NTN for 3GPP Release 17 with a priority on satellite access.

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3GPP 5G Non-Terrestrial Network Study and Work Items

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The Non-Terrestrial Network (NTN) New Radio (NR) and IoT (Internet of Things) work items in Rel-17 introduce new 5G network topologies into the 3GPP specifications. These topologies are designed based on high-altitude platforms, Low Earth Orbit (LEO),  Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO). The Rel-17 NTN NR and IoT work items are frozen in June 2022. The 3GPP Rel-17 specification covers eMTC and NB-IoT-based satellite access to address massive IoT use cases in transport, agriculture, and logistics areas.

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3GPP 5G Non-Terrestrial Network Study and Work Items

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The Non-Terrestrial Network (NTN) New Radio (NR) and IoT (Internet of Things) work items in Rel-17 introduce new 5G network topologies into the 3GPP specifications. These topologies are designed based on high-altitude platforms, Low Earth Orbit (LEO),  Medium Earth Orbit (MEO) and Geostationary Earth Orbit (GEO). The Rel-17 NTN NR and IoT work items are frozen in June 2022. The 3GPP Rel-17 specification covers eMTC and NB-IoT-based satellite access to address massive IoT use cases in transport, agriculture, and logistics areas.

A Framework (Guide) to Implementing Autonomic/Autonomous IPv6 based 5G Networks, by leveraging the ETSI GANA Multi-Layer AI / Multi-Layer Autonomic Management and Control Model and IPv6 Capabilities & Extensions that enable to Build Autonomic Networks

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The work in ETSI on Development of a "Framework for Implementing Autonomic/Autonomous IPv6 based 5G Networks, leveraging the ETSI GANA Multi-Layer AI / Multi-Layer Autonomic Management and Control Model and IPv6 Capabilities & Extensions that enable to Build Autonomic Networks", is progressing very well, and those who may want to join the work and contribute Use Cases on Autonomic Management anf Control Operations in an IPv6 based E2E 5G Networks are wellcome to contribute (Work Item is https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=63527). Examples of Use Cases for Autonomics (Closed Control-Loop operations by specific GANA Decision Elements(DEs) defined in ETSI TS 103 195-2, e.g. Mobility-Management-DE, Routing Management-DE, Forwarding Management-DE, Fault-Management-DE, etc) include the following Use Cases:

  • Autonomic Slice Service Orchestration and Assurance
  • Autonomic Management and Control of Network Slices 
  • Autonomic Mobility Management and Control Use Case (e.g. IP level Mobility Management)
  • Autonomic Routing Management and Control Use Case
  • Autonomic Forwarding Management Use Case
  • Autonomic QoS and QoE Management and Control Use Case
  • Autonomic Monitoring Management and Control Use Case 
  • Autonomic Security Management and Control Use Case
  • Autonomic Fault Management Use Case 
  • Autonomic Resilience & Survivability Management Use Case 
  • Autonomic Performance Management Use Case