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1. 桂林电子科技大学计算机与信息安全学院,广西 桂林 541004
2. 清华大学电子工程系,北京 100084
Online First:2022-12,
Published:30 December 2022
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Jianyu CAO, Wei FENG, Ning GE. Delay characteristics of time-sensitive services in 5G networks[J]. Chinese Journal on Internet of Things, 2022, 6(4): 93-103.
Jianyu CAO, Wei FENG, Ning GE. Delay characteristics of time-sensitive services in 5G networks[J]. Chinese Journal on Internet of Things, 2022, 6(4): 93-103. DOI: 10.11959/j.issn.2096-3750.2022.00298.
面向工业应用,5G 接入网需要同时支持时敏与非时敏业务。两类业务共享无线资源和缓冲队列,常导致时延的复杂耦合与不确定。针对ON-OFF时敏业务与非时敏业务共存场景,基于二阶级联排队模型,建立包含排队时延的随机时延特性计算方法,得到时敏业务的时延均值、标准差、越界概率与概率分布。在此基础上,分析非时敏业务对时敏业务随机时延特性的影响。实验表明,非时敏业务对ON-OFF时敏业务随机时延特性的影响与ON-OFF阶段的轮换频率相关;ON-OFF时敏业务时延的概率分布与伽马分布的右拖尾长度近似相等。
For industrial applications
the time-sensitive services (TSS) and non TSS need to share the radio resources and the same buffer queue in 5G radio access network (RAN).This incurs the complex coupling and uncertainty of the delays.Considering the scenario where ON-OFF TSS and non TSS coexist
the calculation methods for the random delay (including queueing delay) characteristics were established based on the two-stage tandem queueing model
to obtain the mean value
standard deviation
bound violation probability and probability distribution of the delay of TSS.On this basis
the influence of non TSS on the random delay characteristics of TSS was analyzed.It is shown that the influence of non TSS on the random delay characteristics of ON-OFF TSS is related to the rotation frequency of ON-OFF stages.Moreover
the delay probability distribution of ON-OFF TSS has approximately the same right tail length as Gamma distribution.
宋光敏 , 王群青 , 黄占兵 , , 等 . 赋能5G垂直行业:基于端边协同保障时延确定性技术研究“5G行业应用” [EB ] . 2022 .
SONG G , WANG Q , HUANG Z , et al . Empowering 5G vertical indus-tries:research on the edge-end collaboration framework for determi-nistic network “5G industry applications” [EB ] . 2022 .
WANG Y M , FENG W , WANG J , et al . Hybrid satellite-UAV-terrestrial networks for 6G ubiquitous coverage:a maritime communications perspective [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 11 ): 3475 - 3490 .
冯伟 , 唐睿 , 葛宁 . 星地协同智能海洋通信网络发展展望 [J ] . 电信科学 , 2020 , 36 ( 10 ): 1 - 11 .
FENG W , TANG R , GE N . Perspectives on coordinated satellite-terrestrial intelligent maritime communication network [J ] . Telecommunications Science , 2020 , 36 ( 10 ): 1 - 11 .
中国移动研究院 . 6G全息通信业务发展趋势白皮书 [R ] . 2022 .
China Mobile Research Institute . White paper on development trend of 6G holographic communication service [R ] . 2022 .
ITU FG-NET-2030 . Network 2030 a blueprint of technology,applications and market drivers towards the year 2030 and beyond [R ] . 2019 .
HUANG Y , WANG S , HUANG T , et al . Cycle-based time-sensitive and deterministic networks:architecture,challenges,and open issues [J ] . IEEE Communications Magazine , 2022 , 60 ( 6 ): 81 - 87 .
WEI P , GUO K , LI Y , et al . Reinforcement learning-empowered mobile edge computing for 6G edge intelligence [J ] . IEEE Access , 10 : 65156 - 65192 .
LIU C X , FENG W , TAO X M , et al . MEC-empowered non-terrestrial network for 6G wide-area time-sensitive Internet of Things [J ] . Engineering , 2022 , 8 : 96 - 107 .
ZHANG X , WANG J Q , POOR H V . Statistical delay and error-rate bounded QoS provisioning over mmWave cell-free M-MIMO and FBC-HARQ-IR based 6G wireless networks [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 8 ): 1661 - 1677 .
ZHANG X , WANG J Q , POOR H V . Statistical delay and error-rate bounded QoS control for URLLC in the non-asymptotic regime [C ] // Proceedings of 2022 IEEE International Symposium on Information Theory . Piscataway:IEEE Press , 2022 : 2112 - 2117 .
QI T , FENG W , CHEN Y F , et al . Double QoS guarantee for NOMA-enabled massive MTC networks [J ] . IEEE Internet of Things Journal , 2022 , PP ( 99 ): 1 - 22 .
5G确定性网络产业联盟 . 5G确定性网络架构产业白皮书 [R ] . 2021 .
5G Deterministic Networking Alliance . 5G deterministic networking architecture industry white paper [R ] . 2021 .
中国通信学会 . 5G专网前沿报告 [R ] . 2022 .
China Institute of Communication . The frontier report for 5G private network [R ] . 2022 .
徐文伟 . 后香农时代,数学决定未来发展的边界 [R ] . 中国工业与应用数学学会数学促进企业创新发展论 , 2020 .
XU W W . In the post Shannon era,mathematics determines the boun-dary of future development [R ] . China Society for Industrial and Ap-plied Mathematics,Forum on Mathematics Promoting Enterprise In-novation and Development , 2020 .
NICHOLS K , JACOBSON V , MCGREGOR A , et al . Controlled delay active queue management:IETF RFC 8289 [S ] . 2018 .
JUNG S , KIM J , KIM J H . Intelligent active queue management for stabilized QoS guarantees in 5G mobile networks [J ] . IEEE Systems Journal , 2021 , 15 ( 3 ): 4293 - 4302 .
HOEILAND-JOERGENSEN T , MCKENNEY P , TAHT D , et al . The flow queue CoDel packet scheduler and active queue management algorithm:IETF RFC 8290 [S ] . 2018 .
Best routers for 2021 [EB ] . 2020 .
KUMAR R , FRANCINI A , PANWAR S , et al . Dynamic control of RLC buffer size for latency minimization in mobile RAN [C ] // Proceedings of 2018 IEEE Wireless Communications and Networking Conference . Piscataway:IEEE Press , 2018 : 1 - 6 .
IMPUTATO P , PATRICIELLO N , AVALLONE S , et al . Smart backlog management to fight buffer bloat in 3GPP protocol stacks [C ] // Proceedings of 2019 16th IEEE Annual Consumer Communications & Networking Conference . Piscataway:IEEE Press , 2019 : 1 - 6 .
BQL:byte queue limits [EB ] . 2011 .
IRAZABAL M , LOPEZ-AGUILERA E , DEMIRKOL I , et al . Dynamic buffer sizing and pacing as enablers of 5G low-latency services [J ] . IEEE Transactions on Mobile Computing , 2022 , 21 ( 3 ): 926 - 939 .
IRAZABAL M , LOPEZ-AGUILERA E , DEMIRKOL I , et al . Preventing RLC buffer sojourn delays in 5G [J ] . IEEE Access , 2021 ( 9 ): 39466 - 39488 .
3GPP . Technical specification group radio access network; continuous connectivity for packet data users; 1.28 Mcps TDD:3GPP TR 25.929 V12.0.0 [S ] . 2014 .
ETSI . 5G; NR; radio resource control (RRC) protocol specification:ETSI TS 138 331 V15.5.1 [S ] . 2019 .
ETSI . 5G; study on scenarios and requirements for next generation access technologies:ETSI TR 138 913 V15.0.0 [S ] . 2018 .
GRASSMANN W K , TAKSAR M I , HEYMAN D P . Regenerative analysis and steady state distributions for Markov chains [J ] . Operations Research , 1985 , 33 ( 5 ): 1107 - 1116 .
CAO J Y , XIE W X . Optimization of a condition-based duration-varying preventive maintenance policy for the stockless production system based on queueing model [J ] . Journal of Industrial &Management Optimization , 2017 , 13 ( 5 ): 1 - 11 .
CAO J Y , FENG W , GE N , et al . Delay characterization of mobile-edge computing for 6G time-sensitive services [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 5 ): 3758 - 3773 .
ALFA A S . Applied discrete-time queues [M ] . New York : Springer-Verlag , 2016 .
ZHANG H . Analytical solution to a discrete-time model for dynamic learning and decision making [J ] . Management Science , 2022 , 68 ( 8 ): 5924 - 5957 .
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