Enabling optimized resource management in 5G MAC layer to achieve lower URLLC latency and enhancing EMBB data rate

Abstract

5G is expected to enable the following three services; ultra-reliable low latency communications (uRLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC). uRLLC is essential to the support of IoT devices in processing, electricity distribution, and medical services. eMBB is a significant milestone from current 4G networks that provides higher data speeds for 5G cellular network systems. Quality of service (QoS) and Quality of Experience (QoE) indicate the overall performance of cellular networks as perceived by its users. To achieve the 5G goals, the QoS and/QoE need to be adjusted for each of the 5G services. This study is focused on QoS/QoE differentiation to improve improve □ that represents the packet transmission delay between the gNB and UE. This improvement is achieved by proposing a scheduling technique that provides lower uRLLC latency while offering higher data rate for eMBB applications. This scheduling, named Enhanced Delay-based QoS Aware Scheduling (EDQAS), is a new downlink MAC scheduling algorithm that determines which physical resource blocks are allocated to each packet. The EDQAS model incorporates three novel features. The first consists of an efficient delay control (EDC) mechanism to recognize the traffic type. The second implements a resource puncturing method inspired by Knapsack to serve uRLLC packets faster. The third implements the least delay increase (LDI) method as a cutting process for dismissing certain packets that cannot fulfill the delay and overhead criteria. The simulation results, focused on uRLLC and eMBB services, show that the EDQAS algorithm significantly improves the delay, goodput, and packet loss ratio of the services.

Date	28 Nov 2022
Original language	American English
Awarding Institution	École de technologie supérieure
Supervisor	Zbigniew Dziong (Supervisor) & Jean Charles Gregoire (Co-supervisor)