a new model of channel assignment based on the carrier-to-interference ratio (CIR) of the uplinks in cellular mobile networks is presented.Compared with the classical compatibility matrix model
the new model is more accurate and is adequate for analyzing the interference adaptive channel assignment scheme.For comparison purpose
an improved genetic algorithm developed from the genetic algorithm and Tabu search for solving the channel assignment problem (CAP) is also proposed.Both analysis and simulation show that the new model can describe practical systems more precisely
and can lead to more efficient resource utilization when employed to solve CAP.