Boosting SWIPT via Symbol-Level Precoding

In this paper, we investigate a simultaneous wireless information and power transmission (SWIPT) system, wherein a single multi-antenna transmitter serves multiple single-antenna users which employ the power-splitting (PS) receiver architecture. We formulate a Symbol-Level Precoding (SLP) based tran...

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Bibliographic Details
Published in2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) pp. 1 - 5
Main Authors Gautam, Sumit, Krivochiza, Jevgenij, Haqiqatnejad, Alireza, Chatzinotas, Symeon, Ottersten, Bjorn
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2020
Subjects
Interference
MU-MISO
Optimization
power optimization
Precoding
Receivers
Signal to noise ratio
SLP
SWIPT
Transmitters
Wireless communication
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Summary:In this paper, we investigate a simultaneous wireless information and power transmission (SWIPT) system, wherein a single multi-antenna transmitter serves multiple single-antenna users which employ the power-splitting (PS) receiver architecture. We formulate a Symbol-Level Precoding (SLP) based transmit power minimization problem dependent on the minimum signalto-interference-plus-noise ratio (SINR) and energy harvesting (EH) thresholds. We solve the corresponding non-negative convex quadratic optimization problem per time frame of transmitted symbols and study the benefits of proposed design under ZeroForcing (ZF) Precoding, Direct Demand SLP (DD-SLP), and Squared-Root Demand SLP (RD-SLP) techniques. A static PSratio is fixed according to the SINR and EH demands to enable the segregation of intended received signals for information decoding (ID) and EH, respectively. Numerical results show the property conservation of SINR-enhancement via SLP at the ID unit while increasing the harvested energy at each of the end-users.
ISSN:1948-3252
DOI:10.1109/SPAWC48557.2020.9154293