The fifth generation (5G) and beyond technologies need robust schedulers to support emerging applications with stringent quality of service (QoS) demands. Our work designs a channel and delay weighted response ratio (CDRR) scheduler for coexisting heterogeneous real-time (RT) enhanced mobile broadband (eMBB) traffic. We develop a novel prioritization function with a numerical bound analysis of the delay budgets, packet sizes and channel conditions in a 5G setting. The proposed scheduler outperforms modern schedulers with a significant reduction in the average RT queuing delay. It supports higher RT traffic densities by providing the lowest mean packet-dropping ratio at high reliability.
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priyadarshini et al. (2024) studied this question.
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