Secondary User Selection Scheme Using Adaptive Genetic Algorithms for Cooperative Spectrum Sensing Under Correlated Shadowing

Energy-Efficiency Joint Cooperative Spectrum Sensing and Power Allocation Scheme for Green Cognitive Radio Network: A Soft Decision Fusion Approach

“…Shadowing produces spatially weak and correlated signals on the secondary networks. It has already been proved that less number of SUs in a large area is more effective than more numbers of SUs in a dense area [19]. These uncorrelated SUs can be selected adaptively [20] or from its normalized covariance matrix of received signal [21].…”

“…where (19) where th Γ is the outage threshold. The main objective of this paper is to maximize EE by jointly optimizing the sensing time and power allocation , ,... 1 2 P P P P t t t tM…”

Cooperative spectrum sensing using opportunistic amplify‐and‐forward relaying over Nakagami‐ m fading channels

“…However, because of the multipath fading and the shadowing effects in practical wireless communication scenarios [6], the detection performance for a single cognitive user (CU) will be degraded rendering it difficult to achieve satisfactory sensing performance. Cooperative spectrum sensing (CSS) has been proposed for improving the detection performance, which can effectively combat the multipath fading and shadowing effects by exploiting the spatial diversity among multiple located cognitive nodes [7][8][9][10][11][12][13][14][15]. In [10,11], Ganesan et al first applied the amplify-and-forward (AF) relaying strategy to CSS.…”