Spectrum sensing for cognitive OFDM system using free probability theory

  • Authors:

  • Lei Wang;Baoyu Zheng;Jingwu Cui;Sulan Tang;Haie Dou

  • Affiliations:

  • Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China

  • Venue:
  • Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
  • Year:
  • 2010

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Abstract

Free probability theory, which has became a main branch of random matrix theory, is a valuable tool for describing the asymptotic behavior of multiple systems, especially for large random matrices. In this paper, using free probability theory, a new spectrum sensing scheme for cognitive OFDM system is proposed, which shows how asymptotic free behavior of random matrices and the property of Wishart distribution can be used to assist spectrum sensing for cognitive radios. Simulations over Rayleigh fading and AWGN channels demonstrate the proposed scheme has better detection performance and lower power need compared with the energy detection technique even for the case of a small sample of observations.