Power Allocation in Two-way Relaying Networks

TL;DR

This paper proposes an optimal relay selection and power allocation strategy in two-way relaying networks with energy harvesting, transforming a non-convex problem into a convex one for improved network throughput.

Contribution

It introduces a novel convex optimization approach for relay selection and power allocation considering energy harvesting constraints in two-way relaying networks.

Findings

Significant throughput improvement demonstrated through simulations

Convex optimization approach effectively solves the non-convex problem

Energy harvesting relay strategy enhances network performance

Abstract

In this paper, we study relay selection and power allocation in two-way relaying networks consisting of a source, a destination and multiply half-duplex decode-and-forward (DF) relays. A transmission model with three time subslots is purposely introduced. In the first subslot, selected relay applies time-switching protocol to harvest radio frequency energy radiated by source and destination; in the remaining subslots, selected relay facilitates source and destination to exchange information. Due to finite-size data buffer and finite-size battery of relay, an optimal relay selection and power allocation policy is proposed, in order to maximize networks sum-throughput. One obstacle is the inherent non-convex property of the underlying sum-throughput optimization problem. By carefully decoupling the multiplicative variables and relaxing binary variable to a real number, we convert this problem into a convex optimization one and then Karush-Kuhn-Tucker (KKT) conditions are used to solve it. Extensive simulations have been conducted to demonstrate the improved sum-throughput with our proposed strategy.