SVD based wideband spectrum sensing and carrier aggregation for LTE-Advanced networks

For the TV white space (TVWS) in a wireless regional area network (WRAN), wireless microphone (WM) signals must be detected as primary users. Since the very narrow band of a WM signal, there will be several spectrum fragments after spectrum sensing. In our work, a singular value decomposition (SVD) based approach is presented to detect multiple WM signals and then to select component carriers (CCs) and further implement carrier aggregation (CA) in a wideband Cognitive Radio (CR) network. Simulation results prove the better detection performance over the traditional energy detection, and the proposed CC selection approach works effectively compared to the blindly CC assigning method.