Performance Optimization in Networks Serving Heterogeneous Flows
Channel-aware scheduling strategies have emerged as an effective mechanism for improving the throughput of wireless data users by exploiting rate variations. The improvement in throughput comes however at the expense of an increase in the variability of the service rate received over time. While the larger variability only has a limited impact on delay-tolerant data transfers, it does severely affect delaysensitive applications. In order to examine the merits of channel-aware scheduling for the latter users, the authors consider a wireless system supporting a combination of streaming and elastic traffic.