Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-based System

TL;DR

This paper proposes a joint energy and data transmission optimization framework for OFDM-based wireless powered communication systems, maximizing data rate through optimal resource allocation with full and causal CSI.

Contribution

It introduces a novel joint SC and power allocation scheme for wireless energy harvesting systems, including both offline and online algorithms for different CSI availability scenarios.

Findings

Optimal SC and power allocation structures derived.

Offline algorithm achieves maximum data rate with full CSI.

Online algorithm provides near-optimal performance with causal CSI.

Abstract

This paper investigates an orthogonal frequency division multiplexing (OFDM)-based wireless powered communication system, where one user harvests energy from an energy access point (EAP) to power its information transmission to a data access point (DAP). The channels from the EAP to the user, i.e., the wireless energy transfer (WET) link, and from the user to the DAP, i.e., the wireless information transfer (WIT) link, vary over both time slots and sub-channels (SCs) in general. To avoid interference at DAP, WET and WIT are scheduled over orthogonal SCs at any slot. Our objective is to maximize the achievable rate at the DAP by jointly optimizing the SC allocation over time and the power allocation over time and SCs for both WET and WIT links. Assuming availability of full channel state information (CSI), the structural results for the optimal SC/power allocation are obtained and an offline algorithm is proposed to solve the problem. Furthermore, we propose a low-complexity online algorithm when causal CSI is available.