Delay-aware opportunistic scheduling for real-time service in OFDMA systems

Scheduling algorithm for OFDMA system plays an important role in supporting users' diverse QoS requirements, especially for real-time service. In this paper, we propose a delay-aware opportunistic scheduling algorithm (DAOS) that can guarantee QoS requirement for real-time service and provide effective fairness among all users. The benefit is attained from utilizing queue state information (QSI) and channel state information (CSI) jointly and updating scheduling parameters during subchannel allocation procedure. Simulation results illustrate that the max packet loss ratio and delay are both improved by the proposed algorithm.