Joint Relay Selection and Power Control that aims to Maximize Sum-Rate in Multi-Hop Networks

TL;DR

This paper introduces a novel iterative algorithm for joint relay selection and power control in multi-hop networks, significantly improving sum-rate performance through a combination of relay selection based on SINR maximization and successive convex approximation for power control.

Contribution

The paper presents a new sub-optimal algorithm that iteratively optimizes relay selection and power control, demonstrating substantial sum-rate gains over existing methods.

Findings

Proposed algorithm outperforms existing solutions in sum-rate.

Relay selection based on SINR maximization improves network performance.

Optimal binary power allocation can be used for two-user multi-hop networks.

Abstract

Focusing on the joint relay selection and power control problem with a view to maximizing the sum-rate, we propose a novel sub-optimal algorithm that iterates between relay selection and power control. The relay selection is performed by maximizing the minimum signal-to-interference-plus-noise-ratio (as opposed to maximizing the sum-rate) and the power control is performed using a successive convex approximation. By comparing the proposed algorithm with existing solutions via extensive simulations, we show that the proposed algorithm results in significant sum-rate gains. Finally, we analyze the two-user multi-hop network and show that optimum transmit power of at least for two transmitting nodes can be found using binary power allocation.