Resource Allocation for Mixed Traffic Types in Distributed Antenna Systems Using NOMA

This paper proposes a new traffic-aware resource allocation technique, employing non-orthogonal multiple access (NOMA) in a downlink distributed antenna system (DAS). The studied framework consists of users with mixed traffic types: real-time (RT) users having strict QoS requirements (in terms of amount of data and latency), and best-effort (BE) users aiming to maximize their throughput and fairness. After formulating the resource and power optimization problem, we propose a low complexity sub-optimal algorithm that aims at guaranteeing the requirements of RT users while maximizing the utility function of BE users. Simulation results show a remarkable performance enhancement of the proposed algorithm over baseline techniques in terms of RT users satisfaction. Also, the proposed technique achieves near optimal fairness for BE users while maximizing their average throughput.

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