In order to minimize network construction cost

improve quality of user’s service

a solution for base station location planning based on vector distance immune computation is proposed. The method for antibody concentration calculation based on vector distance is designed

a population initialization strategy based on opposition-based learning is adopted

mathematical model for problem solving is presented. The main task is to accurately determine locations and numbers of base stations

in order to reach the purpose of the minimum cost

and meet user coverage rate and system capacity. Simulation results shows that the proposed algorithm has outstanding global searching ability and fast convergence ability

can well meet user’s coverage rate needs and system capacity with low cost of station construction relatively.