Robust Distributed Detection in Massive MIMO Wireless Sensor Networks under CSI Uncertainty

Apoorva Chawla, Adarsh Patel, Aditya K. Jagannatham, Pramod Kumar Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

This paper presents a Neyman-Pearson (NP) criterion based optimal distributed detection framework for a massive multiple-input multiple-output (MIMO) wireless sensor network (WSN). Robust fusion rules are determined for the local decisions transmitted by the sensor nodes, considering the availability of both perfect as well as imperfect channel state information (CSI) at the fusion center. Further, the probability of error of the individual sensor decisions, which arises in practical scenarios, is also incorporated in the decision framework. Closed form expressions are derived to characterize the resulting probabilities of detection and false alarm for the system. Simulation results are presented to demonstrate the improved performance of the proposed detectors in comparison to the existing detectors and to validate the theoretical findings.

Original languageEnglish (US)
Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538663585
DOIs
StatePublished - Apr 12 2019
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: Aug 27 2018Aug 30 2018

Publication series

NameIEEE Vehicular Technology Conference
Volume2018-August
ISSN (Print)1550-2252

Conference

Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
CountryUnited States
CityChicago
Period8/27/188/30/18

ASJC Scopus subject areas

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

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