In designing and operating cellular networks, it is assumed that the area of coverage is geographically divided into cells. Among these cells, a certain number of cells are chosen to install switches that serve as relays for communications between any...
In designing and operating cellular networks, it is assumed that the area of coverage is geographically divided into cells. Among these cells, a certain number of cells are chosen to install switches that serve as relays for communications between any pair of cells. Then, each cell is assigned to switches to complete the cellular network. This decision regarding assignment of cells to switches is known as a CSA (Cell-to-Switch Assignment) problem. The problem is based on the minimization of communication link cost and handover cost. Since this problem is a so-called NP hard, many researches have proposed heuristic-based algorithms to provide near-optimal solutions within a reasonable computation time. Considering these characteristics of the CSA problem, this work develops a genetic algorithm and a local search algorithm. Throuout a number of experiments, the performance of the proposed algorithms are evaluated, and compared with exisisting heristic methods.