Dynamic Power Control for Delay-Aware Device-to-Device Communications

TL;DR

This paper introduces a low-complexity, asymptotically optimal power control algorithm for delay-aware device-to-device communications, leveraging interference filtering and perturbation analysis to improve performance.

Contribution

It develops a closed-form approximate priority function for dynamic power control in D2D communications, addressing the curse of dimensionality and providing a scalable solution.

Findings

Significant performance gains over baseline schemes

Algorithm is asymptotically optimal with large carrier sensing distance

Effective handling of delay-aware power control in D2D networks

Abstract

In this paper, we consider the dynamic power control for delay-aware D2D communications. The stochastic optimization problem is formulated as an infinite horizon average cost Markov decision process. To deal with the curse of dimensionality, we utilize the interference filtering property of the CSMA-like MAC protocol and derive a closed-form approximate priority function and the associated error bound using perturbation analysis. Based on the closed-form approximate priority function, we propose a low-complexity power control algorithm solving the per-stage optimization problem. The proposed solution is further shown to be asymptotically optimal for a sufficiently large carrier sensing distance. Finally, the proposed power control scheme is compared with various baselines through simulations, and it is shown that significant performance gain can be achieved.