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Performance Evaluation for QoS Oriented Cross Layer Optimization in OFDMA Networks

Utility based cross layer optimization is a promising tool for wireless resource management in next generation wireless networks, which has been recently studied extensively. Numerous types of utility functions have been proposed and examined in the corresponding literature. However, the majority of the known utility functions only take a fixed mathematical form or are just based on simple combining, which can not fully exploit available network information. In this paper, we focus on a framework of QoS oriented cross layer optimization based on Adaptively Weighted Utility Functions (AWUF) in OFDMA networks. Under this framework, a sub-optimal solution is proposed, which has a potential ability to update control parameters in real-time and accommodate instantaneous QoS constrains. The simulation results revealed that the AUWF based algorithm not only achieved higher throughput, but also simultaneously reduced average queue length and packet delay under unsymmetrical traffic loads among multiple users.