Dey, Indrakshi and Rossi, P. Salvo and Butt, M. Majid and Marchetti, Nicola (2020) Experimental Analysis of Wideband Spectrum Sensing Networks Using Massive MIMO Testbed. IEEE Transactions on Communications, 68 (9). pp. 5390-5405. ISSN 0090-6778

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Abstract

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 × 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 analysed 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.

Item Type:	Article
Additional Information:	Cite as: I. Dey, P. S. Rossi, M. M. Butt and N. Marchetti, "Experimental Analysis of Wideband Spectrum Sensing Networks Using Massive MIMO Testbed," in IEEE Transactions on Communications, vol. 68, no. 9, pp. 5390-5405, Sept. 2020, doi: 10.1109/TCOMM.2020.2998544.
Keywords:	Sensors; Collaboration; OFDM; Antenna measurements; Massive MIMO; Wideband; Interference;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15987
Identification Number:	https://doi.org/10.1109/TCOMM.2020.2998544
Depositing User:	Dr Indrakshi Dey
Date Deposited:	24 May 2022 11:25
Journal or Publication Title:	IEEE Transactions on Communications
Publisher:	IEEE Explore
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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