Joint transceiver designs for MSE minimization in MIMO wireless powered sensor networks

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

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


In this paper, we study vector parameter estimation in multiple-input multiple-output wireless-powered sensor networks (WPSNs) where sensor nodes operate by harvesting the radio frequency signals transmitted from energy access points (E-APs). 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 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
Article number8368090
Pages (from-to)5120-5131
Number of pages12
JournalIEEE Transactions on Wireless Communications
Issue number8
Publication statusPublished - 2018 Aug


  • 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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