TY - JOUR
T1 - Distributed Detection in Massive MIMO Wireless Sensor Networks under Perfect and Imperfect CSI
AU - Chawla, Apoorva
AU - Patel, Adarsh
AU - Jagannatham, Aditya K.
AU - Varshney, Pramod K.
N1 - Funding Information:
This research has been supported by the Science and Engineering Research Board (SERB), Department of Science and Technology, Government ofIndia, Space Technology Cell, IIT Kanpur and IIMA IDEA Telecom Centre of Excellence.
Funding Information:
Manuscript received January 4, 2019; revised April 20, 2019 and June 2, 2019; accepted June 3, 2019. Date of publication June 24, 2019; date of current version July 12, 2019. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Alexander Bertrand. This research has been supported by the Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India, Space Technology Cell, IIT Kanpur and IIMA IDEA Telecom Centre of Excellence. This work was presented in part at the 88th IEEE Vehicular Technology Conference, Chicago, IL, USA, August 2018 [1]. (Corresponding author: Apoorva Chawla.) A. Chawla and A. K. Jagannatham are with the Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India (e-mail: capoorva@iitk.ac.in; adityaj@iitk.ac.in).
Publisher Copyright:
© 1991-2012 IEEE.
PY - 2019/8/1
Y1 - 2019/8/1
N2 - This paper considers the problem of distributed detection for massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs). Neyman-Pearson criterion based fusion rules are developed at the fusion center (FC) that also incorporate the local probabilities of detection and false alarm of the constituent sensor nodes. Closed-form expressions are obtained for the probabilities of detection and false alarm at the FC for various signaling schemes employed by the sensors. The fusion rules and analysis are extended to the scenario with imperfect channel state information (CSI). Furthermore, signaling matrices are determined for the massive MIMO WSN to enhance detection performance. The asymptotic detection performance of the WSN is analyzed for the large antenna regime, which yields pertinent power scaling laws with respect to the number of antennas at the FC. Simulation results demonstrate the improved performance of the proposed schemes and also validate the theoretical findings.
AB - This paper considers the problem of distributed detection for massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs). Neyman-Pearson criterion based fusion rules are developed at the fusion center (FC) that also incorporate the local probabilities of detection and false alarm of the constituent sensor nodes. Closed-form expressions are obtained for the probabilities of detection and false alarm at the FC for various signaling schemes employed by the sensors. The fusion rules and analysis are extended to the scenario with imperfect channel state information (CSI). Furthermore, signaling matrices are determined for the massive MIMO WSN to enhance detection performance. The asymptotic detection performance of the WSN is analyzed for the large antenna regime, which yields pertinent power scaling laws with respect to the number of antennas at the FC. Simulation results demonstrate the improved performance of the proposed schemes and also validate the theoretical findings.
KW - Distributed detection
KW - Neyman-Pearson criterion
KW - massive multiple-input multiple-output (MIMO)
KW - wireless sensor networks (WSNs)
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U2 - 10.1109/TSP.2019.2924588
DO - 10.1109/TSP.2019.2924588
M3 - Article
AN - SCOPUS:85069790771
SN - 1053-587X
VL - 67
SP - 4055
EP - 4068
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 15
M1 - 8744263
ER -