Avoidance of Cochannel Interference in Dynamic Channel Allocation in a Broadband Fixed Wireless Access Network Using Modified Genetic Algorithm

In this paper DCA using Modified Genetic Algorithm (MGA) is applied to a Broadband Fixed Wireless Access (BFWA) network that provides data services. The performance of the modified GA is compared using a simulation with other DCAs namely the Least Interfered (LI) and Channel Segregation (CS) and simple genetic algorithm. It is shown that the modified GA has the highest throughput and is more capable of adapting to interference and reconverging to a new stable state.