A comprehensive systematic literature review on security and authentication techniques for wireless body area network (WBAN)

Navjot Sekhon

doi:10.1016/j.phycom.2026.103038

Fairness-aware radio resource scheduling for 5G NR mMTC networks

2026-04-01

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Baheti, Prashant Kumar *

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Khunteta, Ajay

DOI：10.1016/j.phycom.2026.103103

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This paper addresses the challenge of uplink radio resource scheduling in 5G New Radio systems for massive Machine-Type Communication. As 5G networks transition toward supporting thousands of heterogeneous user equipments with varying quality of service requirements, traditional scheduling algorithms such as Best-CQI and Proportional Fair often struggle to balance spectral efficiency with fairness and latency constraints. We propose a fairness-aware uplink scheduling (FAUS) algorithm, a low-complexity greedy heuristic designed for 5G NR MAC layer. FAUS utilizes a multi-objective fitness function that integrates instantaneous channel state information, 5QI-normalized temporal decay factor for deadline awareness, and a sigmoidal starvation mitigation term. System-level simulations using the 5G NR protocol stack demonstrate that FAUS achieves an improved balance across diverse key performance indicators. Compared to the traditional baseline, FAUS reduces priority violations and delay budget violations while maintaining competitive throughput, fairness, and resource utilization.

Keywords:

5G new radio

mMTC

Radio resource management

Uplink scheduling

QoS

Fairness

Starvation mitigation

Fairness-aware radio resource scheduling for 5G NR mMTC networks

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