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ORS-ACSS: Optimum Relay Selection and Accurate Cooperative Spectrum Sensing for Hybrid Cognitive Radio Networks

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Abstract

In wireless spectrum, the cognitive radio network (CRN) has the capability to automatically detect the channels so that it is possible to perform concurrent communication. One of the major challenges in hybrid CRNs is effective spectrum sharing. In the interweave scheme secondary user (SU) uses the spectrum, when primary user (PU) is absent. Further in the underlay scheme SU uses the spectrum concurrently with PU along with the interference constraint. In order to utilize the advantage of both the scheme hybrid CRN has been proposed in Chu et al. (IEEE Trans Commun 62(7):2183–2197, 2014. https://doi.org/10.1109/tcomm.2014.2325041). The major challenges in hybrid CRN are to select the scheme (interweave/underlay) and use the relays accordingly. To overcome this problem, the optimum relay selection and accurate cooperative spectrum sensing scheme are proposed in this paper which improves the SU performance in terms of throughput of hybrid CRN. By accurate cooperative spectrum sensing method, the accuracy of the decision to select the underlay/overlay scheme to transmit the data is improved. The SU uses relays to minimize interference with the PU while underlay scheme is selected for transmission. Here, the relay selection is optimized by an optimum relay selection method. Numerical results show that the proposed scheme improves the throughput of hybrid CRN. The experimental results show that the proposed method is performed better in terms of delay, delivery ratio, overhead, energy consumption, and throughput.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Tiruchirappalli, Tiruchirappalli, India

    R. Rajaganapathi & P. Muthuchidambara Nathan

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  1. R. Rajaganapathi
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Correspondence to R. Rajaganapathi.

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Rajaganapathi, R., Muthuchidambara Nathan, P. ORS-ACSS: Optimum Relay Selection and Accurate Cooperative Spectrum Sensing for Hybrid Cognitive Radio Networks. Wireless Pers Commun 110, 795–813 (2020). https://doi.org/10.1007/s11277-019-06756-6

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  • DOI: https://doi.org/10.1007/s11277-019-06756-6

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