Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center
Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu, Andreas, Spanias

TL;DR
This paper investigates how multiple antennas at a fusion center improve distributed detection over fading MACs, revealing significant gains without channel info at sensors and limited gains with info, supported by theoretical and numerical analysis.
Contribution
It provides a comprehensive analysis of error exponent gains from multiple antennas under various channel knowledge scenarios, including new scaling laws and practical schemes.
Findings
Large error exponent gains without channel info at sensors with more antennas
Limited error exponent gains (~8/pi) with channel info at sensors regardless of antennas
Scaling laws for simultaneous increase of sensors and antennas
Abstract
A distributed detection problem over fading Gaussian multiple-access channels is considered. Sensors observe a phenomenon and transmit their observations to a fusion center using the amplify and forward scheme. The fusion center has multiple antennas with different channel models considered between the sensors and the fusion center, and different cases of channel state information are assumed at the sensors. The performance is evaluated in terms of the error exponent for each of these cases, where the effect of multiple antennas at the fusion center is studied. It is shown that for zero-mean channels between the sensors and the fusion center when there is no channel information at the sensors, arbitrarily large gains in the error exponent can be obtained with sufficient increase in the number of antennas at the fusion center. In stark contrast, when there is channel information at the…
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