Wireless Information and Power Transfer in MIMO Channels under Rician fading
Paper i proceeding, 2015

Simultaneous wireless information and power transfer (SWIPT) offers an attractive alternative to the traditional battery limited or grid dependent communication system design. In this paper, we investigate robust precoder designs for systems with SWIPT capabilities under a stochastic Rician fading framework. Under a multiple-input multiple-output (MIMO) channel model, we formulate the problem of minimizing the average mean-square error at the information receiver (IR) while keeping the average energy harvested at the energy receiver (ER) above given levels. We consider two different strategies that can be adopted by the IR: i) simple estimation filters based solely on the channel mean, ii) robust estimation filters aiming to minimize the average mean-square error. Both of these scenarios lead to non-convex formulations. For the first scenario, we propose a convex relaxation that is tight. For the second scenario, we propose an alternating minimization method that provides precoder designs even in the scenarios where the number of transmit antennas is larger than the length of data vector. Our numerical results show that the proposed designs provide significant performance gains especially when the scattering component of the channel is strong.

linear precoding

wireless energy transfer

Rayleigh fading

MMSE

multiple-antenna

quality-of-service (QoS)

Rician fading

beamforming

partial CSI

robust

wireless power transfer

statistical CSI

signal-to-noise ratio

Författare

Ayca Ozcelikkale

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Mats Viberg

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

3187-3191 7178559

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

Elektroteknik och elektronik

Signalbehandling

DOI

10.1109/ICASSP.2015.7178559

ISBN

978-1-4673-6997-8

Mer information

Skapat

2017-10-08