Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View

• Published in: IEEE transactions on vehicular technology Vol. 58; no. 9; pp. 5294 - 5299
• Main Authors: Peh, E.C.Y., Ying-Chang Liang, Yong Liang Guan, Yonghong Zeng
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Channels; Cognitive radio; Computer simulation; cooperative sensing; Data communication; Detection; Error probability; Exact sciences and technology; Frequency; Iterative algorithms; Networks; Optimization; Protection; Radio; Radio network; Radiocommunication specific techniques; Radiocommunications; sensing-throughput tradeoff; Statistics; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Throughput; Transmission and modulation (techniques and equipments); Performance evaluation; Computer simulation; sensing-throughput tradeoff; Information rate; Iterative method; cooperative sensing; Cognitive radio; Algorithm; Information transmission; Optimization; Radio communication; Software radio
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2009.2028030

In cognitive radio networks, the performance of the spectrum sensing depends on the sensing time and the fusion scheme that are used when cooperative sensing is applied. In this paper, we consider the case where the secondary users cooperatively sense a channel using the k -out-of- N fusion rule to determine the presence of the primary user. A sensing-throughput tradeoff problem under a cooperative sensing scenario is formulated to find a pair of sensing time and k value that maximize the secondary users' throughput subject to sufficient protection that is provided to the primary user. An iterative algorithm is proposed to obtain the optimal values for these two parameters. Computer simulations show that significant improvement in the throughput of the secondary users is achieved when the parameters for the fusion scheme and the sensing time are jointly optimized.