Experimental Analysis of Wideband Spectrum Sensing Networks Using Massive MIMO Testbed

In this paper, we investigate the practical implication of employing virtual massive multiple-input-multiple output (MIMO) based distributed decision fusion (DF) for collaborative wideband spectrum sensing (WSS) in a cognitive radio (CR)-like network. Towards that end, an indoor-only measurement cam...

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Bibliographic Details
Published in:IEEE transactions on communications 2020-09, Vol.68 (9), p.5390-5405
Main Authors: Dey, I., Rossi, P. Salvo, Butt, M. Majid, Marchetti, Nicola
Format: Article
Language:English
Subjects:
Antenna measurements
Broadband
Cognitive radio
Collaboration
fading
fusion performance
Interference
Likelihood ratio
Massive MIMO
massive MIMO channel measurement
MIMO communication
OFDM
Orthogonal Frequency Division Multiplexing
Sensors
shadowing and interference
Subcarriers
Wideband
Wideband spectrum sensing
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Summary:In this paper, we investigate the practical implication of employing virtual massive multiple-input-multiple output (MIMO) based distributed decision fusion (DF) for collaborative wideband spectrum sensing (WSS) in a cognitive radio (CR)-like network. Towards that end, an indoor-only measurement campaign has been conducted to capture the propagation statistics of a 4 \times 64 massive MIMO system with one authorized primary user (PU) and 4 unauthorized secondary users (SUs) transmitting simultaneously over a 20 MHz band divided into 1200 subcarriers. The frequency subcarriers belong to an Orthogonal-frequency-division-multiplexing (OFDM)-like set-up without the addition of cyclic prefix (CP) to the transmit symbols. Measurements are accumulated for different relative positions of the SUs which are analyzed to extract fading, shadowing, noise and interference power statistics. Log-likelihood ratio (LLR) based fusion rule and three different sets of sub-optimum fusion rules along with their time-reversed versions are formulated for combining decisions on the availability of each subcarrier transmitted by the SUs. The extracted channel characteristics are incorporated in both analytical and simulated performance analysis of the devised fusion rules for comparison and testing the validity of distributed DF in realistic collaborative WSS scenario.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2020.2998544