Cooperative Sequential Spectrum Sensing Algorithms for OFDM

This paper considers the problem of spectrum sensing in cognitive radio networks when the primary user is using Orthogonal Frequency Division Multiplexing (OFDM). For this we develop cooperative sequential detection algorithms that use the autocorrelation property of cyclic prefix (CP) used in OFDM systems. We study the effect of timing and frequency offset, IQimbalance and uncertainty in noise and transmit power. We also modify the detector to mitigate the effects of these impairments. The performance of the proposed algorithms is studied via simulations. We show that sequential detection can significantly improve the performance over a fixed sample size detector. Keywords- Cognitive Radio, Cooperative Spectrum Sensing, Decentralized Sequential Detection, OFDM.

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: ArunKumar Jayaprakasam, Vinod Sharma, Chandra R. Murthy, Prashant Narayanan
• Keywords: Cognitive Radio, CORR 2010, Education, Orthogonal Frequency Division Multiplexing, Sequential Detection