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IEICE Transactions on Communications 2008 E91-B(1):95-101; doi:10.1093/ietcom/e91-b.1.95
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Copyright © 2008 The Institute of Electronics, Information and Communication Engineers

Special Section on Cognitive Radio and Spectrum Sharing Technology -- Papers -- Spectrum Sensing

Study on Soft Decision Based Cooperative Sensing for Cognitive Radio Networks

Hiromasa UCHIYAMA1, Kenta UMEBAYASHI1, Takeo FUJII2, Fumie ONO3, Kei SAKAGUCHI4, Yukihiro KAMIYA1 and Yasuo SUZUKI1

1 The authors are with the Graduate School of Engineering, Tokyo University of Agriculture and Technology, Koganei-shi, 184-8588 Japan. E-mail: cornelius{at}suzuki-lab.tuat.ac.jp, 2 The author is with the Advanced Wireless Communication research Center (AWCC), The University of Electro-Communications, Chofu-shi, 182-8585 Japan., 3 The author is with the Graduate School of Engineering, Division of Electrical and Computer Engineering, Yokohama National University, Yokohama-shi, 240-8501 Japan., 4 The author is with the Graduate School of Engineering, Tokyo Institute of Technology, Tokyo, 152-8550 Japan.


  Abstract

In this paper, we propose a soft decision based cooperative sensing method for cognitive radio (CR) networks for opportunistic frequency usage. To identify unused frequency, CR should exploit sensing technique to detect presence or absence of primary user and use this information to opportunistically provide communication among secondary users while performance of primary user should not be deteriorated by the secondary users. Because of multipath fading or shadowing, the detection of primary users may be significantly difficult. For this problem, cooperative sensing (CS), where gathered observations obtained by multiple secondary users is utilized to achieve higher performance of detection, has been investigated. We design a soft decision based CS analytically and analyze the detector in several situations, i.e., signal model where single-carrier case and multi-carrier case are assumed and two scenarios; in the first scenario, SNR values of secondary users are totally equal and in the second scenario, a certain SNR difference between secondary users is assumed. We present numerical results as follows. The first scenario shows that there is little difference between the signal models in terms of detection performance. The second scenario shows that CS is superior to non-cooperative sensing. In addition, we presents that detection performance of soft decision based CS outperform detection performance of hard decision based CS.

Key Words: cognitive radio, cooperative sensing, energy detection, cognitive MIMO mesh network

Manuscript received May 11, 2007. Manuscript revised July 20, 2007.


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