Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks

Anupam Kumar Bairagi,Mehedi Masud,Choong Seon Hong,Madyan Alsenwi,Md Shirajum Munir,Sultan S Alshamrani,Nguyen H Tran,Zhu Han

doi:10.1109/tcomm.2020.3040307

Abstract

Ultra-reliable low-latency communication (uRLLC) and enhanced mobile broadband (eMBB) are two influential services of the emerging 5G cellular network. Latency and reliability are major concerns for uRLLC applications, whereas eMBB services claim for the maximum data rates. Owing to the trade-off among latency, reliability and spectral efficiency, sharing of radio resources between eMBB and uRLLC services, heads to a challenging scheduling dilemma. In this paper, we study the co-scheduling problem of eMBB and uRLLC traffic based upon the puncturing technique. Precisely, we formulate an optimization problem aiming to maximize the minimum expected achieved rate (MEAR) of eMBB user equipment (UE) while fulfilling the provisions of the uRLLC traffic. We decompose the original problem into two sub-problems, namely scheduling problem of eMBB UEs and uRLLC UEs while prevailing objective unchanged. Radio resources are scheduled among the eMBB UEs on a time slot basis, whereas it is handled for uRLLC UEs on a mini-slot basis. Moreover, for resolving the scheduling issue of eMBB UEs, we use penalty successive upper bound minimization (PSUM) based algorithm, whereas the optimal transportation model (TM) is adopted for solving the same problem of uRLLC UEs. Furthermore, a heuristic algorithm is also provided to solve the first sub-problem with lower complexity. Finally, the significance of the proposed approach over other baseline approaches is established through numerical analysis in terms of the MEAR and fairness scores of the eMBB UEs.

Highlights

T HE wireless industries are going through different kinds of emerging applications and services along with the explosive trends of mobile traffic [1]
Gigabit per second (Gbps) level data rates are required for enhanced mobile broadband (eMBB) users, whereas connection density and energy efficiency are the major concern for massive machine-type communication (mMTC), and Ultra-reliable low-latency communication (uRLLC) traffic focuses on extremely high reliability (99.999%) and remarkably low latency (0.25 ∼ 0.30 ms/packet) [4]
The fairness scores increase for the Proposed, matching based scheduler (MBS) and punctured scheduler (PS) methods with the increasing value of σ as it gets more chance to maximize the minimum achieved rate, whereas the same scores decrease with the increasing value of σ for random scheduler (RS), equally distributed scheduler (EDS) and multi-user preemptive scheduler (MUPS) as eMBB user equipment (UE) have more opportunity to be affected by the uRLLC UEs

Summary

INTRODUCTION

T HE wireless industries are going through different kinds of emerging applications and services along with the explosive trends of mobile traffic [1]. Gigabit per second (Gbps) level data rates are required for eMBB users, whereas connection density and energy efficiency are the major concern for mMTC, and uRLLC traffic focuses on extremely high reliability (99.999%) and remarkably low latency (0.25 ∼ 0.30 ms/packet) [4]. To enable eMBB and uRLLC services in 5G wireless networks, we propose an effective coexistence mechanism in this paper. Our preliminary work has been published in [23] where we have used a one-sided matching and heuristic algorithm, respectively, for resolving resource allocation problems of eMBB and uRLLC users. We perform a comprehensive experimental analysis for the proposed scheduling approach and compare the results, minimum expected achieved rate (MEAR) and fairness [43] of the eMBB UEs, with the punctured scheduler (PS) [21], multi-user preemptive scheduler (MUPS) [25], random scheduler (RS), distributed scheduler (EDS), and matching based scheduler (MBS) approaches.

LITERATURE REVIEW

SYSTEM MODEL AND PROBLEM FORMULATION

NUMERICAL ANALYSIS AND DISCUSSIONS

5: Calculate

Findings

CONCLUSION