DIALM '01 Proceedings of the 5th international workshop on Discrete algorithms and methods for mobile computing and communications
Wireless Personal Communications: An International Journal
Cost-Efficient Design of Future Broadband Fixed Wireless Access Systems
Wireless Personal Communications: An International Journal
A comparison of randomized and evolutionary approaches for optimizing base station site selection
Proceedings of the 2004 ACM symposium on Applied computing
The infrastructure efficiency of cellular wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modelling the cost of heterogeneous wireless access networks
International Journal of Mobile Network Design and Innovation
Radio planning and coverage optimization of 3G cellular networks
Wireless Networks
Cost-effective base station deployment approach based on artificial immune systems
Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
The infrastructure efficiency of cellular wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Expert Systems with Applications: An International Journal
Computationally efficient algorithms for location area planning in future cellular systems
Computer Communications
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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 hierarchical optimization planning method (HOP) is utilized since there are so many factors like system performance, terrain features, base station parameters, and cost factors which are involved in the large-scale system design. We present a three-level optimization approach for designing a cellular mobile system. It determines the cell number, cell site allocation, and the specific base station parameters in order to minimize the total system cost and to comply with the required system performance. The problem is formulated as a large combinatorial optimization model which can determine the optimal number of cells and select the best base stations' locations. The simulated annealing approach is developed to solve the hard combinatorial problem. Simulation results demonstrate the feasibility and effectiveness of the HOP approach for radio network planning