Heuristics for solving fixed-channel assignment problems
Handbook of wireless networks and mobile computing
Self-Organizing Transient Chaotic Neural Network for Cellular Channel Assignment
Neural Processing Letters
Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Minimizing Interference in Mobile Communications Using Genetic Algorithms
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
A Range-Compaction Heuristic for Graph Coloring
Journal of Heuristics
Dynamic channel assignment with cumulative co-channel interference
ACM SIGMOBILE Mobile Computing and Communications Review
A portable and scalable algorithm for a class of constrained combinatorial optimization problems
Computers and Operations Research
Optimization via Intermittency with a Self-Organizing Neural Network
Neural Computation
New resource management strategy for wireless cellular networks
Computers and Electrical Engineering
Fixed channel assignment using new dynamic programming approach in cellular radio networks
Computers and Electrical Engineering
Fuzzy neural control for economic-driven radio resource management in beyond 3G networks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A two-phase chaotic neural network algorithm for channel assignment in cellular systems
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
A recurrent neural network for channel assignment problems in mobiles
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Resource management in cellular communication using particle swarm optimization
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Genetic algorithms with stochastic ranking for optimal channel assignment in mobile communications
CIS'04 Proceedings of the First international conference on Computational and Information Science
A dynamic channel assignment in GSM telecommunication network using modified genetic algorithm
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
Particle swarm intelligence for channel assignment problem in mobile cellular communication system
International Journal of Artificial Intelligence and Soft Computing
Automatic call management in a cellular mobile network by fuzzy threshold logic
International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications
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We examine the problem of assigning calls in a cellular mobile network to channels in the frequency domain. Such assignments must be made so that interference between calls is minimized, while demands for channels are satisfied. A new nonlinear integer programming representation of the static channel assignment (SCA) problem is formulated. We then propose two different neural networks for solving this problem. The first is an improved Hopfield (1982) neural network which resolves the issues of infeasibility and poor solution quality which have plagued the reputation of the Hopfield network. The second approach is a new self-organizing neural network which is able to solve the SCA problem and many other practical optimization problems due to its generalizing ability. A variety of test problems are used to compare the performance of the neural techniques against more traditional heuristic approaches. Finally, extensions to the dynamic channel assignment problem are considered