• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Holistic Joint Optimal Cooperative Spectrum Sensing and Transmission Based on Cooperative Communication in Cognitive Radio


Abstract

In order to utilize the licensed channel of cognitive radio (CR) when the primary user (PU) is detected busy, a benefit-exchange access mode based on cooperative communication is proposed to allow secondary user (SU) to access the busy channel through giving assistance to PU’s communication in exchange for some transmission bandwidth. A holistic joint optimization problem is formulated to maximize the total throughput of CR system through jointly optimizing the parameters of cooperative spectrum sensing (CSS), including the local sensing time, the pre-configured sensing decision threshold, the forward power of cooperative communication, and the bandwidth and transmission power allocated to SUs in benefit-exchange access mode and traditional access mode, respectively. To solve this complex problem, a combination of bi-level optimization, interior-point optimization and exhaustive optimization is proposed. Simulation results show that, compared with the tradition throughput maximizing model (TTMM), the proposed holistic joint optimization model (HJOM) can make use of the channel effectively even if PU is busy, and the total throughput of CR obtains a considerable improvement by HJOM.


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Cite this article

[IEEE Style]
Weizhi Zhong, Kunqi Chen, Xin Liu and Jianjiang Zhou, "Holistic Joint Optimal Cooperative Spectrum Sensing and Transmission Based on Cooperative Communication in Cognitive Radio," KSII Transactions on Internet and Information Systems, vol. 11, no. 3, pp. 1301-1318, 2017. DOI: 10.3837/tiis.2017.03.003

[ACM Style]
Zhong, W., Chen, K., Liu, X., and Zhou, J. 2017. Holistic Joint Optimal Cooperative Spectrum Sensing and Transmission Based on Cooperative Communication in Cognitive Radio. KSII Transactions on Internet and Information Systems, 11, 3, (2017), 1301-1318. DOI: 10.3837/tiis.2017.03.003