Abstract
Upgrading usages of wireless communication applications have many constraints on the utilization of accessible wireless spectrum. Cognitive radio (CR) technology is an emanating and auspicious solution to the issue of insufficient licensed spectrum. The spectrum sensing is the majority demanding issue in cognitive radio applications to find out the accessible spectrum bands which can be utilized by secondary user without providing any unfavorable intervention to the primary user. SU will sense the existence of PU and utilizes the spectrum for data transmission if the spectrum is free without providing any harmful interference to the PU. To achieve this, SU must require an adequate amount of sensing time, which in turn reduces the transmission slot. Thus, the total average throughput of the SU must reduce with increase in sensing time. The performance of simple energy detection (ED) spectrum sensing is analyzed in terms of total error probability and receiver operator characteristics. Simulation results of variation of throughput with SNR and effect of increasing sensing time on throughput are presented using MATLAB under AWGN channel.
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Bujunuru, A., Tadisetty, S. (2020). Achievable Throughput of Energy Detection Spectrum Sensing Cognitive Radio Networks. In: Saini, H.S., Singh, R.K., Tariq Beg, M., Sahambi, J.S. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3172-9_26
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DOI: https://doi.org/10.1007/978-981-15-3172-9_26
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