An Enhanced Spectrum Allocation Algorithm for Secondary Users in Cognitive Radio Networks

Autor: Ashish Bagwari, Sheenu Agarwal, Sandip Vijay
Rok vydání: 2022
Předmět:
DOI: 10.21203/rs.3.rs-381522/v2
Popis: Wireless communication is a vast field in order to do researches on transmitter sections, wireless mediums, receiver sections, repeaters as well as different antennas. The spectrum used for wireless communication is limited and the number of users is increasing day by day. To use the available spectrum efficiently cognitive radio were introduced in which different allocation schemes were proposed by the researchers. In this paper an enhanced artificial bee colony algorithm is proposed for predicting and sensing the channel of primary user which results in the efficient usage of the available spectrum via secondary users, the enhanced artificial bee colony algorithm first predict the channel allocated to primary user, thereafter it performs sensing of the channel due to which the false alarm probability reduced and overall throughput of the network increases. The proposed algorithm overcomes the drawbacks of modified traditional methodologies which were used only for sensing a channel and shows 11.8% more efficiency as compared to binary artificial bee colony algorithm. In future, the method for predicting the channel’s availability can be enhanced in order to maximize the probability of channel allocation to the secondary user.
Databáze: OpenAIRE