Implementing immune-based algorithm for bandwidth spectrum allocation in wireless communication

Abstract

Having an effective technique for bandwidth allocation is very important in wireless communications. Artificial Immune Systems, a relatively new meta-heuristic for solving optimization-related problems, is investigated in this study to design a cellular channel allocation framework. In this study, mobile hosts are allowed to continue interacting with the cells that they are currently in, even when the number of channel is insufficient. When the number of mobile hosts increases, it is almost impossible to foresee future channel demands in a wireless network. Often cellular networks are faced with insufficient channels in cells, whilst other cells have more channels available than they need. Our model works by allocating the unused channels from the cells with less demand to the overloaded cells. The model demonstrates that it manages to re-use the available free-conflict channels efficiently. Comparisons with other existing method (i.e. genetic algorithm) were conducted to evaluate the performance of our model.