Spatial Domain Simultaneous Information and Power Transfer for MIMO Channels

In this paper, we theoretically investigate a new technique for simultaneous information and power transfer (SWIPT) in multiple-input multiple-output (MIMO) point-to-point with radio frequency energy harvesting capabilities. The proposed technique exploits the spatial decomposition of the MIMO chann...

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Bibliographic Details
Published inIEEE transactions on wireless communications Vol. 14; no. 8; pp. 4115 - 4128
Main Authors Timotheou, Stelios, Krikidis, Ioannis, Karachontzitis, Sotiris, Berberidis, Kostas
Format Journal Article
LanguageEnglish
Published IEEE 01.08.2015
Subjects
Channel estimation
channel estimation error
Complexity theory
MILP
MIMO
MIMO channel
MISOCP
Optimization
Radio frequency
Receivers
RF energy harvesting
singular value decomposition
SWIPT
Wireless communication
SWIPT
MILP
optimization
MISOCP
RF energy harvesting
MIMO channel
channel estimation error
singular value decomposition
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ISSN1536-1276
DOI10.1109/TWC.2015.2416721

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Summary:In this paper, we theoretically investigate a new technique for simultaneous information and power transfer (SWIPT) in multiple-input multiple-output (MIMO) point-to-point with radio frequency energy harvesting capabilities. The proposed technique exploits the spatial decomposition of the MIMO channel and uses the eigenchannels either to convey information or to transfer energy. In order to generalize our study, we consider channel estimation error in the decomposition process and the interference between the eigenchannels. An optimization problem that minimizes the total transmitted power subject to maximum power per eigenchannel, information and energy constraints is formulated as a mixed-integer nonlinear program and solved to optimality using mixed-integer second-order cone programming. A near-optimal mixed-integer linear programming solution is also developed with robust computational performance. A polynomial complexity algorithm is further proposed for the optimal solution of the problem when no maximum power per eigenchannel constraints are imposed. In addition, a low polynomial complexity algorithm is developed for the power allocation problem with a given eigenchannel assignment, as well as a low-complexity heuristic for solving the eigenchannel assignment problem.
ISSN:1536-1276
DOI:10.1109/TWC.2015.2416721