A LOW-COST CELLULAR MOBILE COMMUNICATION-SYSTEM - A HIERARCHICAL-OPTIMIZATION NETWORK RESOURCE PLANNING APPROACH

This paper deals with the optimization of the design and radio network resource planning for cellular mobile communication systems. The key element to be considered for mobile network planning is cost. A hierar chical optimization planning method (HOP) is utilized since there are so many factors like system performances, terrain features, base stati on parameters, and cost factors which are involved in the large-scale system design. We present a three-level optimization approach for desi gning a cellular mobile system, It determines the cell number, cell si te allocation, and the specific base station parameters in order to mi nimize the total system cost and to comply with the required system pe rformances, The problem is formulated as a large combinatorial optimiz ation model which can determine the optimal number of cells and select the best base stations' locations. The simulated annealing approach i s developed to solve the hard combinatorial problem. Simulation result s demonstrate the feasibility and effectiveness of the HOP approach fo r radio network planning.