A. Ward, Z. Zhou, P. Mertikopoulos, and N. Bambos. In CDC '18: Proceedings of the 57th IEEE Annual Conference on Decision and Control, 2018.
Distributed power control schemes in wireless networks have been well-examined, but standard methods rarely consider the effect of potentially random delays, which occur in almost every real-world network. We present robust feedback averaging (RFA), a novel power control algorithm that is capable of operating in delay-ridden and noisy environments. We prove optimal convergence of this algorithm in the presence of random, time-varying delays, and present numerical simulations that indicate that RFA outperforms the ubiquitous Foschini-Miljanic algorithm in several regimes.