Maximizing Ergodic Throughput in Wireless Powered Communication Networks

TL;DR

This paper introduces a probabilistic harvest-and-transmit strategy for wireless-powered communication networks that leverages full channel state information to significantly enhance ergodic throughput compared to traditional methods.

Contribution

It proposes a novel channel allocation scheme based on fading probability distribution thresholds, optimizing uplink and downlink resource division for improved throughput.

Findings

Significant throughput increase over harvest-then-transmit protocol

Effective channel allocation based on channel gain thresholds

Simulation results confirm performance improvements

Abstract

This paper considers a single-antenna wirelesspowered communication network (WPCN) over a flat-fading channel. We show that, by using our probabilistic harvestand-transmit (PHAT) strategy, which requires the knowledge of instantaneous full channel state information (CSI) and fading probability distribution, the ergodic throughput of this system may be greatly increased relative to that achieved by the harvestthen-transmit (HTT) protocol. To do so, instead of dividing every frame to the uplink (UL) and downlink (DL), the channel is allocated to the UL wireless information transmission (WIT) and DL wireless power transfer (WPT) based on the estimated channel power gain. In other words, based on the fading probability distribution, we will derive some thresholds that determine the association of a frame to the DL WPT or UL WIT. More specifically, if the channel gain falls below or goes over these thresholds, the channel will be allocated to WPT or WIT. Simulation results verify the performance of our proposed scheme.