Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks

In this letter, we consider cooperative spectrum sensing based on energy detection in cognitive radio networks. Soft combination of the observed energies from different cognitive radio users is investigated. Based on the Neyman-Pearson criterion, we obtain an optimal soft combination scheme that maximizes the detection probability for a given false alarm probability. Encouraged by the performance gain of soft combination, we further propose a new softened hard combination scheme with two-bit overhead for each user and achieve a good tradeoff between detection performance and complexity.

[1]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .

[2]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[3]  Friedrich Jondral,et al.  Calculation of detection and false alarm probabilities in spectrum pooling systems , 2005, IEEE Communications Letters.

[4]  G. Ganesan,et al.  Cooperative spectrum sensing in cognitive radio networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[5]  Gordon L. Stuber,et al.  Principles of mobile communication (2nd ed.) , 2001 .

[6]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[7]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[8]  Mingyan Jiang,et al.  Cooperative spectrum sensing in cognitive networks , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[9]  Danijela Cabric,et al.  White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum , 2004 .

[10]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks , 2007, IEEE Transactions on Wireless Communications.

[11]  A. Ghasemi,et al.  Collaborative spectrum sensing for opportunistic access in fading environments , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[12]  Geoffrey Ye Li,et al.  Agility improvement through cooperative diversity in cognitive radio , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[13]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[14]  Geoffrey Ye Li,et al.  Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[15]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks , 2007, IEEE Transactions on Wireless Communications.

[16]  R. Tandra,et al.  Fundamental limits on detection in low SNR under noise uncertainty , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[17]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[18]  Anant Sahai,et al.  Cooperative Sensing among Cognitive Radios , 2006, 2006 IEEE International Conference on Communications.