A Heuristic Approach for Antenna Positioning in Cellular Networks
Journal of Heuristics
Fast Computational Techniques for Indoor Radio Channel Estimation
Computing in Science and Engineering
S4W: Globally Optimized Design of Wireless Communications Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
On the optimality of facility location for wireless transmission infrastructure
Computers and Industrial Engineering
Comparison and evaluation of multiple objective genetic algorithms for the antenna placement problem
Mobile Networks and Applications
Hierarchical parallel approach for GSM mobile network design
Journal of Parallel and Distributed Computing
Designing cellular networks using a parallel hybrid metaheuristic on the computational grid
Computer Communications
Automated antenna positioning algorithms for wireless fixed-access networks
Journal of Heuristics
Wireless network design: a space-filling curve approach
International Journal of Mobile Network Design and Innovation
On predicting in-building WiFi coverage with a fast discrete approach
International Journal of Mobile Network Design and Innovation
Modelling the cost of heterogeneous wireless access networks
International Journal of Mobile Network Design and Innovation
Mono- and multiobjective formulations for the indoor wireless LAN planning problem
Computers and Operations Research
Computational Optimization and Applications
Radio planning and coverage optimization of 3G cellular networks
Wireless Networks
Dependable wireless mesh networks: An integrated approach
International Journal of Parallel, Emergent and Distributed Systems - Papers from the Workshop on Dependable Parallel and Network-Centric Systems
IEEE/ACM Transactions on Networking (TON)
Benchmarking a wide spectrum of metaheuristic techniques for the radio network design problem
IEEE Transactions on Evolutionary Computation
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This paper is concerned with the mathematical modeling and analysis of a radio communication system design problem that seeks an optimal location of a single transmitter, or that of multiple transmitters, in order to serve a specified distribution of receivers. The problem is modeled by discretizing the radio coverage region into a grid of receiver locations and by specifying a function that estimates the path-loss or signal attenuation for each receiver location, given a particular location for a transmitter that communicates with it. The resulting model is a nonlinear programming problem having an implicitly defined objective function of minimizing a measure of weighted path-losses. Specializations of three nonlinear optimization algorithms, namely, the Hooke and Jeeves' method, the quasi-Newton, and conjugate gradient search procedures are investigated for solving this problem. The technique described here is intended to interact with various propagation prediction models and may be used in a CAD system for radio communication system design