PROJECT TITLE :

Massive MIMO for Wireless Sensing With a Coherent Multiple Access Channel

ABSTRACT:

We tend to take into account the detection and estimation of a zero-mean Gaussian signal in an exceedingly wireless sensor network with a coherent multiple access channel, when the fusion center (FC) is configured with a giant range of antennas and also the wireless channels between the sensor nodes and FC experience Rayleigh fading. For the detection problem, we have a tendency to study the Neyman–Pearson (NP) detector and energy detector (ED) and find optimal values for the sensor transmission gains. For the NP detector, which needs channel state data (CSI), we show that detection performance remains asymptotically constant with the quantity of FC antennas if the sensor transmit power decreases proportionally with the rise in the quantity of antennas. Performance bounds show that the good thing about multiple antennas at the FC disappears as the transmit power grows. The results of the NP detector are generalized to the linear minimum mean-squared error estimator. For the ED, that will not require CSI, we have a tendency to derive optimal gains that maximize the deflection coefficient of the detector, and we tend to show that a constant deflection will be asymptotically achieved if the sensor transmit power scales as the inverse square root of the amount of FC antennas. Unlike the NP detector, for high sensor power, the multi-antenna ED is observed to empirically have significantly better performance than the one-antenna implementation. A variety of simulation results are included to validate the analysis.


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