Enhanced Spectrum Utilization for Existing Cellular Technologies Based on Genetic Algorithm in Preview of Cognitive Radio

This paper attempts to find out the distributed server-based dynamic spectrum allocation (DSA) within liberalized spectrum sharing regulation concept as an alternative to existing regulation based on fixed frequency spectrum allocation schemes towards development of cognitive radio for coverage-based analogy. The present study investigates a scenario where a block of spectrum is shared among four different kinds of exemplary air interface standards i.e., GSM, CDMA, UMTS and WiMAX. It is assumed to offer traffic in an equally likely manner, which occupy four different sizes of channel bandwidths for different air interfaces from a common pooled spectrum. Four different approaches for spectrum pooling at the instance of spectrum crunch in the designated block are considered, viz. channel occupancy through random search, existing regulation based on fixed spectrum allocation (FSA), FSA random and channel occupancy through Genetic Algorithm (GA) based optimized mechanism to achieve desired grade of service (GoS). The comparisons of all the approaches are presented in this paper for different air interfaces which shows up to 55% improvement in GoS for all types of air interfaces with GA-based approach in comparison to existing regulations.