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Wireless Energy Harvesting (Weh) and Spectrum Sharing In Cognitive Radio Networks
Author(s):
1. M Pravin: Department of Information Technology, CMS College of Engineering and Technology, Coimbatore India.
2. M Jayaprakash: Department of Electronics and Communication Engineering, CMS College of Engineering and Technology,Coimbatore,India
Abstract:
It is detailed how one possibility exists for making use of wireless energy in the context of a decode-and-forward relay-assisted secondary user (SU) network that functions according to the guidelines of a cognitive spectrum sharing paradigm. The maximum power that the source and relay in the SU network can transmit from the harvested energy, the peak interference power from the source and relay in the SU network at the primary user (PU) network, and the interference power of the PU network at the relay-assisted SU network are the power constraints that were used to derive an expression for the outage probability of the relay-assisted cognitive network. According to the findings of the research, a relay-assisted network that makes use of the recommended wireless energy harvesting protocol has the potential to operate with an outage probability that is less than 20% for particular applications that take place in the real world. The performance limitation that was placed on the primary system is what is utilised to establish the optimisation challenge that has to be met in order to maximise the area throughput of the secondary system. After analysing the performance of the system with the help of the stochastic geometry theory, we developed a method that evenly distributes the available bandwidth and time resources in such a way as to make it possible for electromagnetic transmission as well as data transfer. Data on performance are provided to highlight how the various system parameters interact with one another and to assist with our theoretical research.
Page(s): 249-261
DOI: DOI not available
Published: Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024
Keywords:
Cognitive Radio , Energy Harvesting , Stochastic Geometry , Spectrum Sharing , Cooperative Diversity
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