基于模糊逻辑的eMBB/URLLC复用机制选择算法

doi:10.13190/j.jbupt.2020-231

北京邮电大学学报 ›› 2021, Vol. 44 ›› Issue (3): 15-20,34.doi: 10.13190/j.jbupt.2020-231

基于模糊逻辑的eMBB/URLLC复用机制选择算法

高月红¹, 杨昊天¹, 陈露¹, 杨鸿文¹, 尹宁²

1. 北京邮电大学信息与通信工程学院, 北京 100876;
2. 北京机电工程研究所测控技术研究室, 北京 100074

收稿日期:2020-11-13 出版日期:2021-06-28 发布日期:2021-06-23
作者简介:高月红(1981-),女,副教授,硕士生导师,E-mail:yhgao@bupt.edu.cn.
基金资助:
国家科技重大专项项目（2018ZX03001024-006）

Selection Algorithm of eMBB/URLLC Multiplexing Schemes Based on Fuzzy Logic

GAO Yue-hong¹, YANG Hao-tian¹, CHEN Lu¹, YANG Hong-wen¹, YIN Ning²

1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Laboratory of Measurement and Control Technology, Beijing Electro-Mechanical Engineering Institute, Beijing 100074, China

Received:2020-11-13 Online:2021-06-28 Published:2021-06-23

摘要/Abstract

摘要： 增强移动宽带（eMBB）与超可靠低时延通信（URLLC）业务的共存部署是第5代移动通信系统演进中的一项重要内容.现有的下行复用机制包括资源预留和穿刺抢占2种方法，两者的特点和性能不同.为了综合2种机制的优点，实现系统整体性能的提升，提出了一种基于模糊逻辑的复用机制选择算法，能够依据URLLC业务的特征，在资源预留和穿刺抢占2种机制中进行择优选择.仿真结果表明，引入择优选择算法后，URLLC业务的队列时延降低了近50%，与此同时，与URLLC业务复用导致的eMBB业务吞吐量的降低不超过4%.

关键词: 模糊逻辑, 增强移动宽带, 超可靠低时延通信, 资源预留, 穿刺抢占

Abstract: The coexistence mechanism between enhanced mobile broadband(eMBB) and ultra reliability low latency communication(URLLC) is an important problem in the evolution of the fifth generation of mobile communications system. Existing downlink multiplexing mechanisms include resource reservation and puncture preemption with different characteristics and performance. A fuzzy logic based multiplexing mechanism selection algorithm is proposed to make optimal selections between resource reservation and puncture preemption according to the characteristics of URLLC services. The algorithm improves the system performance by combining the advantages of the two mechanisms. Simulations show that the queueing delay of URLLC services is reduced by nearly 50% after the optimal selection. At the same time, the reduction in throughput of eMBB services caused by URLLC services is less than 4%.

Key words: fuzzy logic, enhanced mobile broadband, ultra reliability low latency communication, resource reservation, puncture preemption

中图分类号:

TN911.22

高月红, 杨昊天, 陈露, 杨鸿文, 尹宁. 基于模糊逻辑的eMBB/URLLC复用机制选择算法[J]. 北京邮电大学学报, 2021, 44(3): 15-20,34.

GAO Yue-hong, YANG Hao-tian, CHEN Lu, YANG Hong-wen, YIN Ning. Selection Algorithm of eMBB/URLLC Multiplexing Schemes Based on Fuzzy Logic[J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(3): 15-20,34.

参考文献

[1] Yang Wei, Li Chihping, Fakoorian A, et al. Dynamic URLLC and eMBB multiplexing design in 5G new radio[C]//2020 IEEE 17th Annual Consumer Communications & Networking Conference(CCNC). Las Vegas:IEEE Press, 2020:1-5.
[2] Esswie A A, Pedersen K I. Null space based preemptive scheduling for joint URLLC and eMBB traffic in 5G networks[C]//2018 IEEE Globecom Workshops(GC Wkshps). Abu Dhabi:IEEE Press, 2018:1-6.
[3] Pedersen K I, Pocovi G, Steiner J, et al. Punctured scheduling for critical low latency data on a shared channel with mobile broadband[C]//2017 IEEE 86th Vehicular Technology Conference(VTC-Fall). Toronto:IEEE Press, 2017:1-6.
[4] Li Chihping, Jiang Jing, Chen Wanshi, et al. 5G ultra-reliable and low-latency systems design[C]//2017 European Conference on Networks and Communications(EuCNC). Oulu:IEEE Press, 2017:1-5.
[5] Elayoubi S E, Brown P, Deghel M, et al. Radio resource allocation and retransmission schemes for URLLC over 5G networks[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(4):896-904.
[6] 高月红, 李岚, 张欣, 等. URLLC业务概率时延约束及资源预留的分析与研究[J]. 北京邮电大学学报, 2018, 41(5):98-102. Gao Yuehong, Li Lan, Zhang Xin, et al. Analysis and research on the probabilistic delay constraint and resource reservation for URLLC traffic[J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41(5):98-102.
[7] Anand A, Veciana G D, Shakkottai S. Joint scheduling of URLLC and eMBB traffic in 5G wireless networks[C]//IEEE INFOCOM 2018-IEEE Conference on Computer Communications. Honolulu:IEEE Press, 2018:1970-1978.
[8] Pandey S R, Alsenwi M, Tun Y K, et al. A downlink resource scheduling strategy for URLLC traffic[C]//2019 IEEE International Conference on Big Data and Smart Computing. Kyoto:IEEE Press, 2019:1-6.
[9] Alsenwi M, Tran N H, Bennis M, et al. eMBB-URLLC resource slicing:a risk-sensitive approach[J]. IEEE Communications Letters, 2019, 23(4):740-743.
[10] Bairagi A K, Munir S, Alsenwi M, et al. Coexistence mechanism between eMBB and uRLLC in 5G wireless networks[J]. IEEE Transactions on Communications, 2021, 69(3):1736-1749.
[11] Shang Qingqing, Liu Fangfang, Feng Chunyan, et al. A BP neural network based punctured scheduling scheme within mini-slots for joint URLLC and eMBB traffic[C]//2019 IEEE Global Conference on Signal and Information Processing. Ottawa:IEEE Press, 2019:1-5.
[12] Huang Yan, Li Shaoran, Li Chengzhang, et al. A deep-reinforcement-learning-based approach to dynamic eMBB/URLLC multiplexing in 5G NR[J]. IEEE Internet of Things Journal, 2020, 7(7):6439-6456.
[13] Li Jing, Zhang Xing. Deep reinforcement learning-based joint scheduling of eMBB and URLLC in 5G networks[J]. IEEE Wireless Communications Letters, 2020, 9(9):1543-1546.
[14] Sigwele T, Pillai P, Alam A S, et al. Fuzzy logic-based call admission control in 5G cloud radio access networks with preemption[J]. Eurasip Journal on Wireless Communications & Networking, 2017, 2017(1):1-10.
[15] Yeo J, Park S, Oh J, et al. Partial retransmission scheme for HARQ enhancement in 5G wireless communications[C]//2017 IEEE Global Communications Conference. Singapore:IEEE Press, 2017:1-5.
[16] Zhang Jingxuan, Xu Xiaodong, Zhang Kangjie, et al. Machine learning based flexible transmission time interval scheduling for eMBB and uRLLC coexistence scena-rio[J]. IEEE Access, 2019, 7:65811-65820.

基于模糊逻辑的eMBB/URLLC复用机制选择算法

Selection Algorithm of eMBB/URLLC Multiplexing Schemes Based on Fuzzy Logic

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