The channel assignment problem in wireless mobile network is to assign appropriate
frcqucnc)' spectrum channels to requested calls while satisfying the electromagnetic
compatibility (EMC) constraint. However with the limited capacity of wireless mobile
frequency spectrum, an effective channel assignment technique is important for resource
management and to reduce the effect of interference. Most of the existing channel
assignment techniques are based on deterministic methods. In this research, an adaptive
channel assignment technique based on genetic algorithm (GA) is introduced. The most
significant advantage of GA based optimization in channel assignment problem is its
capability to handle both the reassignment of existing calls as well as the allocation of
channel to new call in an adaptive process to maximize the utility of the limited resources.
The population size is adapted to the number of eligible channels for a particular cell upon
new call arrivals in order to achieve reasonable convergence speed. The MA TlAB simulation
on a 49-cells network model for both uniform and nonuniform traffic demands showed that
the average new incoming call blocking probability for the proposed channel optimization
method is lower than the deterministic channel assignment methods.