Linear Precoder Design for Simultaneous Information and Energy Transfer over Two-User MIMO Interference Channels
Journal article, 2015

Communication strategies that utilize wireless media for simultaneous information and power transfer offer a promising perspective for efficient usage of energy resources. With this motivation, we focus on the design of optimal linear precoders for interference channels utilizing such strategies. We formulate the problem of minimizing the total minimum mean-square error while keeping the energy harvested at the energy receivers above given levels. Our framework leads to a non-convex problem formulation. For point-to-point multiple-input multiple-output channels, we provide a characterization of the optimal solutions under a constraint on the number of transmit antennas. For the general interference scenario, we propose two numerical approaches, one for the single antenna information receivers case, and the other for the general case. We also investigate a hybrid signalling scheme, where the transmitter sends a superposition of two signals: a deterministic signal optimized for energy transfer and an information carrying signal optimized for information and energy transfer. It is illustrated that if hybrid signalling is not incorporated into the transmission scheme, interference can be detrimental to the system performance when the number of antennas at the receivers is low.},

quality-of-service

multi-terminal

multi-user

wireless energy transfer

signal-to-noise ratio (SNR)

wireless power transfer

energy harvesting

simultaneous wireless information and power transfer (SWIPT)

interference channel

minimum mean-square error (MMSE)

Author

Ayca Ozcelikkale

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

T. M. Duman

Bilkent Universitesi

IEEE Transactions on Wireless Communications

1536-1276 (ISSN)

Vol. 14 5836-5847 7121027

Areas of Advance

Information and Communication Technology

Energy

Subject Categories

Communication Systems

Signal Processing

DOI

10.1109/TWC.2015.2443099