Abstract
In this paper, we discussed the parametric optimization of improved sensing schemes in multi-antenna cognitive radio (CR) networks over an erroneous channel. The CR utilizes an improved energy detector (IED) by making the binary decision statistics of the absence or presence of a primary user. From primary users’ statistics, the improved energy detector measures power with respect to the threshold so as to make correct spectrum decisions. This decision is further transferred to the fusion center (FC) by the erroneous channel, which decides the complete decision of the existence of PU. For the detection of the spectrum hole and to obtain an optimized number of CRs, we minimize the total error rate (TER) in cooperative spectrum sensing. An optimized value of sensing threshold and arbitrary positive power (p) of each CR is also accessed by considering the TER. The numerical-based simulation results show the validation of correct sensing performance.
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Bachan, P., Ghosh, S.K., Trankatwar, S.R. (2021). Parametric Optimization of Improved Sensing Scheme in Multi-antenna Cognitive Radio Network over Erroneous Channel. In: Khanna, A., Gupta, D., Pólkowski, Z., Bhattacharyya, S., Castillo, O. (eds) Data Analytics and Management. Lecture Notes on Data Engineering and Communications Technologies, vol 54. Springer, Singapore. https://doi.org/10.1007/978-981-15-8335-3_41
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DOI: https://doi.org/10.1007/978-981-15-8335-3_41
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