Simultaneous Information and Power Transfer for Broadband Wireless Systems

TL;DR

This paper introduces a broadband wireless system that combines simultaneous information and power transfer using OFDM and beamforming, optimizing power control to improve efficiency and support mobile device circuitry needs.

Contribution

It presents a novel broadband SIPT approach with resource allocation strategies and power-control algorithms that consider circuit-power constraints and exploit channel diversity.

Findings

Developed power-control algorithms for multiuser SIPT systems.

Demonstrated algorithms improve throughput and power transfer efficiency.

Derived simple functions for required power based on system parameters.

Abstract

Far-field microwave power transfer (MPT) will free wireless sensors and other mobile devices from the constraints imposed by finite battery capacities. Integrating MPT with wireless communications to support simultaneous information and power transfer (SIPT) allows the same spectrum to be used for dual purposes without compromising the quality of service. A novel approach is presented in this paper for realizing SIPT in a broadband system where orthogonal frequency division multiplexing and transmit beamforming are deployed to create a set of parallel sub-channels for SIPT, which simplifies resource allocation. Supported by a proposed reconfigurable mobile architecture, different system configurations are considered by combining single-user/multiuser systems, downlink/uplink information transfer, and variable/fixed coding rates. Optimizing the power control for these configurations results in a new class of multiuser power-control problems featuring circuit-power constraints, specifying that the transferred power must be sufficiently large to support the operation of the receiver circuitry. Solving these problems gives a set of power-control algorithms that exploit channel diversity in frequency for simultaneously enhancing the throughput and the MPT efficiency. For the system configurations with variable coding rates, the algorithms are variants of water-filling that account for the circuit-power constraints. The optimal algorithms for those configurations with fixed coding rates are shown to sequentially allocate mobiles their required power for decoding in the ascending order until the entire budgeted power is spent. The required power for a mobile is derived as simple functions of the minimum signal-to-noise ratio for correct decoding, the circuit power and sub-channel gains.