| Summary: | To achieve a sustainable Quality of Service (QoS) and optimised network performance, scheduling is a crucial aspect in Radio Resource Management (RRM). With 5G NR technology and increased network users, the network scheduler plays a vital role in controlling congestion and ensuring satisfactory service delivery. In an emergency, poor network resource management can cause harm or loss. This study evaluates the performance of three scheduling algorithms - MAX C/I, DRR, and BF Allocation - in NR 5G uplink transmission for an urban scenario. The algorithms are evaluated based on throughput, packet delay, and frame delay variation using the Simu5G framework on OMNET++ simulator. The results show that MAX C/I achieves 80% higher throughput and 30% lower CBR frame delay time, while DRR displays the lowest average MAC delay with 25% less delay time. The study provides a benchmark for scheduling algorithms in C-V2X for 5G under high mobility and loads. © 2024 Taylor's University. All rights reserved.
|
|---|