TY - JOUR
T1 - Joint transceiver designs for MSE minimization in MIMO wireless powered sensor networks
AU - Venkategowda, Naveen K.D.
AU - Lee, Hoon
AU - Lee, Inkyu
N1 - Funding Information:
Manuscript received February 13, 2018; accepted May 7, 2018. Date of publication May 28, 2018; date of current version August 10, 2018. This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning through the Korean Government under Grant 2017R1A2B3012316. The associate editor coordinating the review of this paper and approving it for publication was R. Brown. (Corresponding author: Inkyu Lee.) N. K. D. Venkategowda and I. Lee are with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: naveendv@korea.ac.kr; inkyu@korea.ac.kr).
Funding Information:
This work was supported by the National Research Foundation through the Ministry of Science, ICT, and Future Planning through the Korean Government under Grant 2017R1A2B3012316.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - 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.
AB - 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.
KW - Distributed estimation
KW - Energy harvesting
KW - Precoding
KW - Wireless power transfer
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85047628914&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2838589
DO - 10.1109/TWC.2018.2838589
M3 - Article
AN - SCOPUS:85047628914
SN - 1536-1276
VL - 17
SP - 5120
EP - 5131
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 8
M1 - 8368090
ER -