Cooperative Spectrum Sensing with Beamforming in Cognitive Radio Networks

• Published in: IEEE communications letters Vol. 15; no. 2; pp. 220 - 222
• Main Authors: Gang Xiong, Kishore, S
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2011; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Array signal processing; Arrays; beamforming; Cognitive radio; cognitive radio networks; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Information, signal and communications theory; Radiocommunication specific techniques; Radiocommunications; Sensors; Shadow mapping; Signal and communications theory; Signal representation. Spectral analysis; Signal to noise ratio; Signal, noise; Spectrum sensing; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Wireless sensor networks; Performance evaluation; Beam forming; Lognormal distribution; cognitive radio networks; Spectrum sensing; Spectrum analysis; Information processing; Data fusion; beamforming; Signal analysis; Shadowing; Radio communication; Software radio
• ISSN: 1089-7798
• DOI: 10.1109/LCOMM.2010.011011.101370

This letter presents a cooperative spectrum sensing scheme with beamforming for cognitive radio networks. Here, secondary users report spectrum measurements to a fusion center simultaneously with assigned beamforming weights. Under correlated log-normal shadowing, optimal beamforming weights are derived to maximize the global detection probability subject to a global transmit power constraint. Global detection performance with optimal beamforming weights is then evaluated. The analysis is tested on a linear, equi-distant network where secondary users have identical channel gains to the fusion center. Results show that more secondary users improve detection performance.