Optimal Energy Beamforming for Distributed Wireless Power Transfer Over Frequency-Selective Channels
Luo B, Yeoh PL, Schober R, Krongold BS (2019)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2019
Event location: Shanghai
ISBN: 978-1-5386-8088-9
Abstract
This paper analyzes the optimal transmission strategy and power allocation for a distributed wireless power transfer (WPT) system operating over frequency-selective fading channels. We consider K coordinated energy transmitters (CETs) coherently transmitting energy to a single user over N > K subchannels with individual power constraints. To maximize the total harvested energy, we derive the optimal co-phasing power allocation rule which has the following properties: 1) For any given subchannel, if the optimal power allocation of one CET is zero, then the power allocated by all the other K − 1 CETs to that subchannel is also zero (i.e., the subchannel is inactive); 2) For the non-zero power subchannels, the optimal power allocation obeys a proportionality principle that establishes a relationship between the powers allocated by all K CETs to all active subchannels. Based on this property, we prove that the optimal distributed WPT strategy is for all CETs to select no more than K subchannels. This is in sharp contrast to wireless information transmission where more than K subchannels may be used for capacity maximization. Numerical examples verify our theoretical results and show the performance gains of our proposed scheme compared to two benchmark schemes.
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APA:
Luo, B., Yeoh, P.L., Schober, R., & Krongold, B.S. (2019). Optimal Energy Beamforming for Distributed Wireless Power Transfer Over Frequency-Selective Channels. In IEEE (Eds.), Proceedings of the CC 2019 - 2019 IEEE International Conference on Communications (ICC). Shanghai, CN.
MLA:
Luo, Bing, et al. "Optimal Energy Beamforming for Distributed Wireless Power Transfer Over Frequency-Selective Channels." Proceedings of the CC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai Ed. IEEE, 2019.
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