Cooperative spectrum sensing using free probability theory

Authors:
Lei Wang;Baoyu Baoyu Zheng;Jingwu Cui;Sulan Tang;Haie Dou
Affiliations:
Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, P. R. of China;Southeast University, Nanjing, P. R. of China
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 3
Cited 1

The Semicircle Law, Free Random Variables and Entropy (Mathematical Surveys & Monographs)

The Semicircle Law, Free Random Variables and Entropy (Mathematical Surveys & Monographs)
Block-iterative generalized decision feedback equalizers for large MIMO systems: algorithm design and asymptotic performance analysis

IEEE Transactions on Signal Processing - Part I
Asymptotic Performance of MMSE Receivers for Large Systems Using Random Matrix Theory

IEEE Transactions on Information Theory

Spectrum sensing for cognitive OFDM system using free probability theory

Proceedings of the 6th International Wireless Communications and Mobile Computing Conference

Quantified Score

Hi-index	0.00

Visualization

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 cooperative scheme for spectrum sensing 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 compared with the energy detection techniques even for the case of a small sample of observations.