Optimal Beamforming Designs for Wireless Information and Power Transfer in MISO Interference Channels

This paper investigates the optimal transmit beamforming designs for simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output interference channels (IFC). Based on cooperation level among transmitters and receivsers, we classify the SWIPT IFC systems into two cate...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2015-09, Vol.14 (9), p.4810-4821
Main Authors: Lee, Hoon, Lee, Sang-Rim, Lee, Kyoung-Jae, Kong, Han-Bae, Lee, Inkyu
Format: Article
Language:English
Subjects:
Array signal processing
Cooperation
Information rates
Interference
multiple antenna techniques
rate-energy region
Receivers
RF signals
Service level agreements
Simultaneous wireless information and power transfer
Transmitters
Wireless communication
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Summary:This paper investigates the optimal transmit beamforming designs for simultaneous wireless information and power transfer (SWIPT) in multiple-input single-output interference channels (IFC). Based on cooperation level among transmitters and receivsers, we classify the SWIPT IFC systems into two categories. First, we consider the IFC with partial cooperation, where only channel state information (CSI) is available at transmitters and receivers, but not the signal waveform. Second, we examine the IFC with signal cooperation, where both the CSI and the signal waveforms are known to transmitters and receivers. Then, for the both scenarios, we identify the Pareto boundary of the achievable rate-energy (R-E) region which characterizes the optimal tradeoff between the information rate and the harvested energy. To this end, the problems for maximizing the information rate are formulated with minimum required harvested energy constraint. To solve these non-convex problems, we introduce parameterization techniques for characterizing the R-E region. As a result, the original problem is separated into two subproblems, for which closed-form solutions are obtained by addressing the line search method. Finally, we provide numerical examples for the Pareto boundary of the R-E region through simulations.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2015.2427168