Abstract The proliferation of machine-type communications in 5G New Radio networks introduces challenges for uplink resource scheduling due to heterogeneous quality of service requirements and diverse traffic patterns. This paper proposes a QoS-aware uplink scheduler that balances throughput, fairness, and resource utilization. The proposed algorithm employs a recursive fitness function that integrates channel quality, priority, fairness, and a temporal urgency factor to satisfy quality of service constraints while mitigating user equipment starvation. Extensive simulation results demonstrate that the proposed scheduler achieves a near-Pareto-optimal trade-off among throughput, fairness, resource utilization, buffer occupancy, delay, and priority satisfaction compared to baseline scheduling algorithms, while maintaining polynomial-time computational complexity.
Khunteta et al. (Wed,) studied this question.