Energy Detection-Based Spectrum Sensing Scheme Using Compel Cooperation in Cognitive Radio Networks
Cognitive radio network is a next-generation technology to address the spectrum scarcity issue. One important operation of cognitive radio is sensing of the available spectrum. To utilize an unused licensed network’s spectrum, cognitive radio needs to sen
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Abstract Cognitive radio network is a next-generation technology to address the spectrum scarcity issue. One important operation of cognitive radio is sensing of the available spectrum. To utilize an unused licensed network’s spectrum, cognitive radio needs to sense and identify the frequency bands and detection of the primary users. Thus, an efficient spectrum sensing is a primary need of cognitive radio for detection of free channels and licensed users. Several schemes have been introduced for spectrum sensing. In this paper, benefits of compel cooperation are utilized for efficient spectrum sensing in cognitive radio. Hence, this paper proposed an efficient spectrum sensing scheme, which reduces the detection time and improved activity gain by the permission of the cognitive radio in the same band to compel cooperate with each other. Numerical results reveal that the introduced scheme is well suited for spectrum sensing in a scenario of two users/multiusers with reduced delay and enhanced activity gain.
Keywords Cognitive radio network Secondary user Probability of false alarm Activity gain
Compel cooperation
1 Introduction To fulfill the demand of ever increasing wireless services, the Cognitive Radio (CR) network has been introduced. The basic concept behind CR networks is that the CR can access the unused spectrum of licensed networks by detecting spectrum K. Kumar (&) H. Tripathi M. S. Gupta Electronics and Communication Engineering Department, National Institute of Technology, Hamirpur, India e-mail: [email protected] H. Tripathi e-mail: [email protected] M. S. Gupta e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2019 A. K. Luhach et al. (eds.), Smart Computational Strategies: Theoretical and Practical Aspects, https://doi.org/10.1007/978-981-13-6295-8_19
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holes [1–3]. CR nodes do not cause any interference to Primary Users (PUs), which are also referred to as the licensed users. Spectrum sensing is one of the most important tasks to be implemented in CR networks. Various popular spectrum sensing methods like energy detection [4], matched filter detection [5], and cyclostationary feature detection [6] have been already briefly surveyed by researchers. However, the problems like noise levels, interference and fading make spectrum sensing inaccurate. Thus, spectrum sensing performance is undesirable, which leads to low detection probability and high false alarm probability. Hence, to overcome these problems, cooperative spectrum sensing [7, 8] is presented. In cooperative spectrum sensing, different CR nodes communicate with each other to minimize receiver uncertainty and fading [9]. The cooperative sensing can be categorized into two approaches named as centralized and distributed [10, 11]. In centralized approach, a CR base station collects all the sensing data from different CR nodes and accordingly makes the decision for spectrum sensing. In distributed approach, each CR node provides coordination to other CR nodes in the network to p
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