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

doi:10.13190/j.jbupt.2020-231

Journal of Beijing University of Posts and Telecommunications ›› 2021, Vol. 44 ›› Issue (3): 15-20,34.doi: 10.13190/j.jbupt.2020-231

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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

Abstract

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

CLC Number:

TN911.22

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.

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

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