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Joint Cyclostationarity-Based Detection and Classification of Mobile WiMAX and LTE OFDM Signals

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4 Author(s)
Al-Habashna, A. ; Electr. & Comput. Eng., Memorial Univ. of Newfoundland, St. John''s, NL, Canada ; Dobre, O.A. ; Venkatesan, R. ; Popescu, D.C.

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 we 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, we provide new analytical findings related to the second-order cyclostationarity of the signals of interest.

Published in:
Communications (ICC), 2011 IEEE International Conference on

Date of Conference: 5-9 June 2011

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