Joint Transceiver Designs for MSE Minimization in MIMO Wireless Powered Sensor Networks

Naveen K.D. Venkategowda, Hoon Lee, Inkyu Lee

Research output: Contribution to journalArticle

3 Citations (Scopus)


In this paper, we study vector parameter estimation in multiple-input multiple-output (MIMO) wireless powered sensor networks (WPSN) where sensor nodes operate by harvesting the radio frequency signals transmitted from energy access points (E-AP). We investigate a joint design of sensor data precoders, a fusion rule, and energy covariance matrices to minimize the mean square error (MSE) of the parameter estimate based on a non-linear energy harvesting model. First, we propose a centralized algorithm to solve the MSE minimization problem. Next, to reduce the computational complexity at the fusion center (FC) and feedback overhead from the sensors to the FC, we present a distributed algorithm to locally compute the precoders and the energy covariance matrices. We employ the alternating direction method of multipliers (ADMM) technique to minimize the MSE in a distributed manner without any coordination from the FC. In the proposed distributed algorithm, each sensor node calculates its own precoders and determines the local information of the fusion rule, and then messages are broadcast to other sensor nodes and E-APs. Simulation results demonstrate that the distributed algorithm performs close to the centralized algorithm with reduced complexity. Moreover, the proposed methods exhibit superior estimation performance over conventional techniques in WPSNs.

Original languageEnglish
JournalIEEE Transactions on Wireless Communications
Publication statusAccepted/In press - 2018 May 26


  • Distributed estimation
  • energy harvesting
  • precoding
  • wireless power transfer
  • wireless sensor network

ASJC Scopus subject areas

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

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