6G Distributed Autonomous Core Network with Proxy Architecture and HTTP/3 Transport

5GC adopted the SBA architecture utilizing the cloud native technologies. The flat ‘bus’ SBI faces dramatic signaling overhead, therefore 3GPP defined a network function SCP(Service Communication Proxy) in Rel-16 with the additional consideration that cloud native framework is also evolving into service mesh architecture. And then the SCP is quickly deployed into operational commercial network, alleviated the signaling pressure across different regions of 5G core network. From 5G-Advance, 5GC network functions are deployed near base station more and more to handle the core network related traffics in MEC and NPN (Non-Public Network) etc.. According to the industry vision of 6G, these decentralized core network functions may group into autonomous units, which would interactive with each other and also centralized network functions. The DAN(Distributed Autonomous Network) architecture need a distributed cloud infrastructure and framework to support these distributed autonomous unites. Based on Rel-16 SCP, this paper proposes a proxy architecture for autonomous unit in 6G DAN with the consideration of emerging computing technologies and distributed cloud native stack including the HTTP/3 transport layer and RDMA disaggregated storage. Preliminary benchmarking shows the proposed architecture may bring about $\mathrm{3 0 \%} \sim \mathbf{1 0 0 \%}$ concurrency improvement and $\mathrm{2 0 \%} \sim 60 \%$ latency reduction.

Authors

Institutions

Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/fcn64323.2024.10984855
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

6G Distributed Autonomous Core Network with Proxy Architecture and HTTP/3 Transport

Zhigang Tian, Richard Yi Da Xu, Chao Liu, Ming Zhao
1 citations
IoT and Edge/Fog Computing
0.35
article

6G Distributed Autonomous Core Network with Proxy Architecture and HTTP/3 Transport

Zhigang Tian, Richard Yi Da Xu, Chao Liu, Ming Zhao
article en
1 citations

Abstract

5GC adopted the SBA architecture utilizing the cloud native technologies. The flat ‘bus’ SBI faces dramatic signaling overhead, therefore 3GPP defined a network function SCP(Service Communication Proxy) in Rel-16 with the additional consideration that cloud native framework is also evolving into service mesh architecture. And then the SCP is quickly deployed into operational commercial network, alleviated the signaling pressure across different regions of 5G core network. From 5G-Advance, 5GC network functions are deployed near base station more and more to handle the core network related traffics in MEC and NPN (Non-Public Network) etc.. According to the industry vision of 6G, these decentralized core network functions may group into autonomous units, which would interactive with each other and also centralized network functions. The DAN(Distributed Autonomous Network) architecture need a distributed cloud infrastructure and framework to support these distributed autonomous unites. Based on Rel-16 SCP, this paper proposes a proxy architecture for autonomous unit in 6G DAN with the consideration of emerging computing technologies and distributed cloud native stack including the HTTP/3 transport layer and RDMA disaggregated storage. Preliminary benchmarking shows the proposed architecture may bring about $\mathrm{3 0 \%} \sim \mathbf{1 0 0 \%}$ concurrency improvement and $\mathrm{2 0 \%} \sim 60 \%$ latency reduction.

China Mobile (China) (CN), Tsinghua University (CN)
Tsinghua University
Openalex Percentile: Top 33%
IoT and Edge/Fog Computing
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.