Joint channel-aware and queue-aware data scheduling in multiple shared wireless channels

We investigate multi-user downlink data scheduling with quality-of-service (QoS) provisioning over multiple shared fading channels, which, for a network point of view, provides fine flexibility and granularity for resource allocation. We use a user-centric metric - a utility function with respect to mean waiting time - which is able to maintain fairness among users while providing delay QoS to individual users. We propose scheduling algorithms that are aware of both channel and queue state information to achieve the maximum aggregate utility in the network. Simulation results confirm the significant performance and stability improvement provided by the utility-based scheduling schema balancing multiuser diversity and queueing delay.