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Multiplexing URLLC Traffic Within eMBB Services in 5G NR: Fair Scheduling.

Authors :
Yin, Hao
Zhang, Lyutianyang
Roy, Sumit
Source :
IEEE Transactions on Communications; Feb2021, Vol. 69 Issue 2, p1080-1093, 14p
Publication Year :
2021

Abstract

5G New Radio (NR) is envisioned to efficiently support both enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC). Due to the severe constraint of URLLC traffic, the time resources used by eMBB are further divided into mini-slots. From the media access control (MAC) layer scheduling perspective, the resource allocation occurs on different timescales, and URLLC traffic is pre-emptively overlapped at the mini-slot timescale to obtain the strict requirements of URLLC (achieve 99.999% reliability within 1 ms latency). In this article, we analyze the multiplexing of eMBB and URLLC traffic in 5G downlink transmission, with the dual objectives of maximizing eMBB utility like proportional fairness for eMBB users while satisfying URLLC constraints. We formulate the resource allocation problem in each mini-slot as the integer programming (IP) problem with two solutions: 1) convex relaxation; 2) greedy algorithm. The simulation results show that our algorithms have a higher utility of eMBB users while satisfying the URLLC users’ latency and reliability requirements than using basic round robin. The performance comparison between the two algorithms is extensively studied, and the choice of two algorithms in practice can be decided by the trade-off analysis investigated in this article. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00906778
Volume :
69
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Communications
Publication Type :
Academic Journal
Accession number :
148822631
Full Text :
https://doi.org/10.1109/TCOMM.2020.3035582