Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems With Wireless Energy Harvesting

Zhengyu Zhu, Sai Huang, Zheng Chu, Fuhui Zhou, Di Zhang, Inkyu Lee

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

In this paper, we investigate a multiuser distributed antenna system with simultaneous wireless information and power transmission under the assumption of imperfect channel state information (CSI). In this system, a distributed antenna port with multiple antennas supports a set of mobile stations that can decode information and harvest energy simultaneously via a power splitter. To design robust transmit beamforming vectors and the power splitting factors in the presence of CSI errors, we maximize the average worst-case signal-to-interference-plus-noise ratio (SINR) while achieving an individual energy harvesting constraint for each mobile station. First, we develop an efficient algorithm to convert the max–min SINR problem to a set of “dual” min–max power balancing problems. Then, motivated by the penalty function method, an iterative algorithm based on semidefinite programming is proposed to achieve a local optimal rank-one solution. Also, to reduce the computational complexity, we present another iterative scheme based on the Lagrangian method and the successive convex approximation technique to yield a suboptimal solution. Simulation results are shown to validate the robustness and effectiveness of the proposed algorithms.

Original languageEnglish
JournalIEEE Systems Journal
DOIs
Publication statusAccepted/In press - 2018 Feb 6
Externally publishedYes

Keywords

  • Antenna arrays
  • Array signal processing
  • Distributed antenna systems
  • energy harvesting
  • Interference
  • Ports (Computers)
  • Robustness
  • Signal to noise ratio
  • simultaneous wireless information and power transmission
  • Wireless communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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