Distributed power control over interference channels using ACK/NACK feedback

TL;DR

This paper proposes a distributed, iterative power control algorithm for interference channels that uses only ACK/NACK feedback to reach a generalized Nash equilibrium, ensuring scalable and adaptive convergence.

Contribution

It introduces a low-complexity, distributed method for power control leveraging minimal feedback, advancing non-cooperative game approaches in interference management.

Findings

Algorithm converges under various conditions

Achieves power minimization with limited feedback

Scalable and adaptive performance demonstrated

Abstract

In this work, we consider a network composed of several single-antenna transmitter-receiver pairs in which each pair aims at selfishly minimizing the power required to achieve a given signal-to-interference-plus-noise ratio. This is obtained modeling the transmitter-receiver pairs as rational agents that engage in a non-cooperative game. Capitalizing on the well-known results on the existence and structure of the generalized Nash equilibrium (GNE) point of the underlying game, a low complexity, iterative and distributed algorithm is derived to let each terminal reach the GNE using only a limited feedback in the form of link-layer acknowledgement (ACK) or negative acknowledgement (NACK). Numerical results are used to prove that the proposed solution is able to achieve convergence in a scalable and adaptive manner under different operating conditions.