Cognitive radio spectrum assignment based on artificial bee colony algorithm

2011 ◽  
Author(s):  
Xiaoya Cheng ◽  
Mingyan Jiang
Keyword(s):  
Cognitive Radio ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Radio Spectrum ◽  
Spectrum Assignment ◽  
Bee Colony

scholarly journals Spectrum allocation model for cognitive wireless networks based on the artificial bee colony algorithm

2020 ◽  
Vol 19 (1) ◽  
pp. 257
Author(s):  
Cesar Hernandez ◽  
Jorge Rodriguez ◽  
Diego Giral
Keyword(s):  
Wireless Networks ◽  
Cognitive Radio ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Energy Detection ◽  
Radio Networks ◽  
Spectrum Allocation ◽  
Allocation Model ◽  
Cognitive Wireless Networks ◽  
Bee Colony

Cognitive radio through dynamic spectrum allocation allows an efficient use of the radio-electric spectrum. It is a key subject for the performance of cognitive radio networks. The purpose of the present article is to develop a spectrum allocation model for cognitive wireless networks based on the Artificial Bee Colony algorithm and assess its performance in spectrum occupancy traces obtained from monitoring the spectrum using the energy detection technique. Results show a reduction in the number of spectral handoff with no excessive execution times.

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

2021 ◽  
Author(s):  
Sheenu Agarwal ◽  
Sandip Vijay ◽  
Ashish Bagwari
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Channel Allocation ◽  
False Alarm Probability ◽  
Primary User ◽  
Secondary Users ◽  
Bee Colony ◽  
Day By Day

Abstract 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.

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