QOS Parameter Optimization For Cognitive Radio Networks
I Vinutha · 2014
The drastic developments in the field of wireless communication have led to the problem of spectrum scarcity which is becoming more worsened day by day. Cognitive radio (CR) has been to overcome spectrum scarcity problem. CR is self-configurable wireless communication system that has the capability to measure un-used portions of the existing wireless spectrum (so-called white spaces) and adapts the radio's operating parameters to operate in these unused portions in a manner that limits interference with other devices by environmental sensing and quality of service needs. One of the crucial parts of the CR device is decision making of selecting appropriate communication parameters for self-configuration. In this paper, simulated annealing (SA) with multi-objective function is used for CR optimization. SA is a stochastic global optimization technique that distinguishes between different local optima.SA has been used to meet the user’s QOS needs i.e. optimal global minimum, minimum transmission power, maximum throughput and minimum BER. The results presented indicate that SA technique is efficient for providing a better optimal solution for CR optimization.