Distributed Detection in Millimeter Wave Massive MIMO Wireless Sensor Networks

Abstract

This paper considers a distributed detection framework for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) wireless sensor networks (WSNs). A hybrid combining based low complexity fusion rule is derived at the fusion center (FC) that also incorporates the local probabilities of detection and false alarm of the individual sensor nodes, thus making it suitable for practical scenarios. Closed-form expressions for the probabilities of detection and false alarm are evaluated to characterize the system performance. Moreover, a deflection coefficient maximization based framework is also developed to determine the signaling matrix that further improves the detection performance of the proposed scheme. Finally, simulation results are presented to demonstrate the performance of the proposed detector and to corroborate the analytical results.