Joint Cyclostationarity-Based Detection and Classification of Mobile WiMAX and LTE OFDM Signals
Spectrum awareness is one of the most challenging requirements in Cognitive Radio (CR). To adequately adapt to the changing radio environment, it is necessary for the CR to be able to perform joint detection and classification of low Signal-to-Noise Ratio (SNR) signals. In this paper, the authors propose a joint detection and classification algorithm for the mobile Worldwide Interoperability for Microwave Access (WiMAX) and Long Term Evolution (LTE) signals, which exploits the second-order signal cyclostationarity. Simulation results are presented, which show the efficiency of the proposed algorithm under diverse scenarios. Furthermore, they provide new analytical findings related to the second-order cyclostationarity of the signals of interest.