Multi-antenna Enabled Cluster-based Cooperation in Wireless Powered Communication Networks

TL;DR

This paper proposes a multi-antenna beamforming approach in wireless powered communication networks to enhance throughput fairness by optimizing energy transfer and data transmission strategies, especially aiding distant devices.

Contribution

It introduces a joint optimization framework for energy beamforming, time, and power allocation to improve fairness in cluster-based wireless powered networks.

Findings

Multi-antenna beamforming improves energy transfer efficiency.

Optimized resource allocation enhances throughput fairness.

Simulation results confirm performance gains in practical setups.

Abstract

In this paper, we consider a wireless powered communication network (WPCN) consisting of a multi-antenna hybrid access point (HAP) that transfers wireless energy to and receives sensing data from a cluster of low-power wireless devices (WDs). To enhance the throughput performance of some far-away WDs, we allow one of the WDs to act as the cluster head (CH) that helps forward the messages of the other cluster members (CMs). However, the performance of the proposed cluster-based cooperation is fundamentally limited by the high energy consumption of the CH, who needs to transmit all the WDs' messages including its own. To tackle this issue, we exploit the capability of multi-antenna energy beamforming (EB) at the HAP, which can focus more transferred power to the CH to balance its energy consumption in assisting the other WDs. Specifically, we first derive the throughput performance of each individual WD under the proposed scheme. Then, we jointly optimize the EB design, the transmit time allocation among the HAP and the WDs, and the transmit power allocation of the CH to maximize the minimum data rate achievable among all the WDs (the max-min throughput) for improved throughput fairness among the WDs. An efficient optimal algorithm is proposed to solve the joint optimization problem. Moreover, we simulate under practical network setups and show that the proposed multi-antenna enabled cluster-based cooperation can effectively improve the throughput fairness of WPCN.