Robust precoding methods for multiuser MISO wireless energy harvesting systems

Zhengyu Zhu, Kyoung Jae Lee, Zhongyong Wang, Zheng Chu, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

We address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an norm-bounded uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Interestingly, we show that the semidefinite relaxation (SDR) is tight. Numerical results are provided to validate the robustness of the proposed algorithms.

Original languageEnglish
Title of host publication2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479980918
DOIs
Publication statusPublished - 2016 Jan 25
Event82nd IEEE Vehicular Technology Conference, VTC Fall 2015 - Boston, United States
Duration: 2015 Sep 62015 Sep 9

Other

Other82nd IEEE Vehicular Technology Conference, VTC Fall 2015
CountryUnited States
CityBoston
Period15/9/615/9/9

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Automotive Engineering
  • Hardware and Architecture

Cite this

Zhu, Z., Lee, K. J., Wang, Z., Chu, Z., & Lee, I. (2016). Robust precoding methods for multiuser MISO wireless energy harvesting systems. In 2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings [7391121] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2015.7391121