Author(s) :

H. A. Abdulkareem, Orokpo A. James, A. M. S. Tekanyi, Ezekiel E. Agbon, Tobore O.Alexander.

Volume/Issue :

Abstract :

The rapid increase in wireless communication technology in the past decade has led to scarcity of spectrum. Thus the world is moving away from fixed Spectrum Access (FSA) technique to Dynamic Spectrum Access (DSA). Cognitive Radio (CR) is one of the rapid growing spectrum access technique that makes use of DSA by allowing the Secondary Users (SUs) to make use of the Primary Users (PUs) channels opportunistically. The SUs have to vacate the PUs channels when the PUs arrives on their channels so as not to interfere with the transmission of the PUs. The process whereby the SUs switch their communication to another vacant channel when the PUs arrive on their channels is known as spectrum handoff. Finding other vacant channels for the SUs to continue their transmission is a challenging task. Several researchers have used different technique to select the best channel by considering channel occupancy but these technique still suffer some challenges such as high number of handoff, high delay and low throughput. Therefore this paper present an Improved Channel Ranking Algorithm (ICRA) that rank channel based on channel occupancy and channel signal quality serially and the channel with the highest rank is selected as the next target channel. Simulation was carried out using Network Simulator (NS) and the results obtained were plotted using MATLAB. The results showed that the ICRA had better performance when compare with other channel selection algorithms in terms of number of handoff, delay, throughput, and packet delivery ratio.

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