Distributed Optimal End-to-End Delay Robustness and Network Throughput Tradeoff in Communication-Control Networks

A resource optimization framework to achieve an optimal tradeoff between end-to-end delay robustness and network throughput is proposed. The selection of the objective function for delay robustness, providing the desired tradeoff, is based on the sensitivity analysis. For maximizing the network throughput an effective link transmission rate based power control problem is solved. We then extend the resource optimization framework using an iterative suboptimal cross-layer algorithm to improve the link congestion fairness. Using our distributed resource optimization algorithm we study the effect of delay threshold imposed by the application layer on the robustness. Our results show that a small compromise in the network throughput can provide a large delay robustness depending on the operating point. An improvement in the link congestion fairness performance at the cost of reduced network throughput is also studied.