Multichannel Assignment with Load Balance in Cognitive Radio Networks

Objectives: Based on a load balance perspective, a multichannel assignment model is raised for users whose applications require more than one channel, which achieves a more efficient use of spectral opportunities in cognitive radio networks. The proposed model makes a multiple frequency channel assignment to the secondary users who demand more than one frequency channel, under an equity environment. Methods: In order to achieve this, the model integrates the load balance in its assignment process taking into account historical data such as the equity level in the assignment and readjusting its assignment policies; likewise, it consists of a block which is in charge of setting an equity criterion for all users who want to transmit. The measurements made correspond to the average band width, the average delay and the fairness calculation when assigning various channels. Results: The obtained results were evaluated with spectral occupation data in the GSM frequency band. The developed model was compared to the MFACRN algorithm with no load balance and there´s an evidence of enhancement when assigning a higher average band width of transmission for each secondary user and thus, maintaining the equity criteria in channels assignment. Improvements: This work proposes a model of multichannel assignment that integrates a Fairness algorithm and load balance for cognitive radio networks with six evaluation metrics using experimental data of the GSM band.