Scheduling Optimization of Heterogeneous Services by Resolving Conflicts
Sotiris Skaperas, Nasim Ferdosian, Arsenia Chorti, Lefteris Mamatas

TL;DR
This paper addresses the challenge of scheduling heterogeneous 5G services by proposing conflict-aware heuristics and demonstrating NOMA's effectiveness in conflict resolution, ultimately improving throughput and reliability.
Contribution
It introduces conflict-aware heuristics for scheduling URLLC and eMBB services and highlights NOMA as a competitive approach for conflict mitigation in 5G radio resource management.
Findings
Conflict minimization improves eMBB throughput.
NOMA effectively alleviates scheduling conflicts.
Heuristics achieve near-optimal performance.
Abstract
Fifth generation (5G) new radio introduced flexible numerology to provide the necessary flexibility for accommodating heterogeneous services. However, optimizing the scheduling of heterogeneous services with differing delay and throughput requirements over 5G new radio is a challenging task. In this paper, we investigate near optimal, low complexity scheduling of radio resources for ultra-reliable low-latency communications (URLLC) when coexisting with enhanced mobile broadband (eMBB) services. We demonstrate that maximizing the sum throughput of eMBB services while servicing URLLC users, is, in the long-term, equivalent to minimizing the number of URLLC placements in the time-frequency grid; this result stems from reducing the number of infeasible placements for eMBB, to which we refer to as "conflicts". To meet this new objective, we propose and investigate new conflict-aware…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Advanced Wireless Communication Technologies · Optimization and Search Problems
