Power Control with Random Delays: Robust Feedback Averaging

Abstract : 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, 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 Robust Feedback Averaging outperforms the ubiquitous Foschini-Miljanic algorithm in several regimes.
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Andrew Ward, Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos. Power Control with Random Delays: Robust Feedback Averaging. CDC 2018 - 57th IEEE Conference on Decision and Control, Dec 2018, Miami Beach, United States. pp.1-6. ⟨hal-01891528⟩

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