TY - GEN
T1 - NR-Scope
T2 - 20th International Conference on Emerging Networking EXperiments, CoNEXT 2024
AU - Wan, Haoran
AU - Cao, Xuyang
AU - Marder, Alexander
AU - Jamieson, Kyle
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/12/9
Y1 - 2024/12/9
N2 - NextG cellular networks are designed to meet Quality of Service requirements for various applications in and beyond smartphones and mobile devices. However, lacking introspection into the 5G Radio Access Network (RAN application and transport layer designers are ill-poised to cope with the vagaries of the wireless last hop to a mobile client, while 5G network operators run mostly closed networks, limiting their potential for co-design with the wider internet and user applications. This paper presents NR-Scope, a passive, incrementally-deployable, and independently-deployable Standalone 5G network telemetry system that can stream fine-grained RAN capacity, latency, and retransmission information to application servers to enable better millisecond scale, application-level decisions on offered load and bit rate adaptation than end-to-end latency measurements or end-to-end packet losses currently permit. Our experimental evaluation on various 5G Standalone base stations demonstrates NR-Scope can achieve less than 0.1% throughput error estimation for every UE in a RAN. The code is available at https://github.com/PrincetonUniversity/NR-Scope.
AB - NextG cellular networks are designed to meet Quality of Service requirements for various applications in and beyond smartphones and mobile devices. However, lacking introspection into the 5G Radio Access Network (RAN application and transport layer designers are ill-poised to cope with the vagaries of the wireless last hop to a mobile client, while 5G network operators run mostly closed networks, limiting their potential for co-design with the wider internet and user applications. This paper presents NR-Scope, a passive, incrementally-deployable, and independently-deployable Standalone 5G network telemetry system that can stream fine-grained RAN capacity, latency, and retransmission information to application servers to enable better millisecond scale, application-level decisions on offered load and bit rate adaptation than end-to-end latency measurements or end-to-end packet losses currently permit. Our experimental evaluation on various 5G Standalone base stations demonstrates NR-Scope can achieve less than 0.1% throughput error estimation for every UE in a RAN. The code is available at https://github.com/PrincetonUniversity/NR-Scope.
KW - 5G network
KW - network measurement
KW - telemetry
KW - wireless network
UR - http://www.scopus.com/inward/record.url?scp=85216027641&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85216027641&partnerID=8YFLogxK
U2 - 10.1145/3680121.3697808
DO - 10.1145/3680121.3697808
M3 - Conference contribution
AN - SCOPUS:85216027641
T3 - CoNEXT 2024 - Proceedings of the 20th International Conference on Emerging Networking EXperiments
SP - 73
EP - 80
BT - CoNEXT 2024 - Proceedings of the 20th International Conference on Emerging Networking EXperiments
PB - Association for Computing Machinery, Inc
Y2 - 9 December 2024 through 12 December 2024
ER -