Robust precoding methods for multiuser MISO wireless energy harvesting systems

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

Research output: Journal PublicationArticlepeer-review

5 Citations (Scopus)


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
Article number7391121
JournalIEEE Vehicular Technology Conference
Issue numberVOL
Publication statusPublished - 2015
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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