Dynamic channel assignment for cellular networks using noisy chaotic neural network

This paper presents a novel dynamic channel assignment (DCA) technique for cellular networks using noisy chaotic neural network. In this technique, a novel energy function is formulated, which considers the three interference constraint conditions among cells and the required channels number of each cell, and simultaneously minimizes the total number of assigned channels to improve spectrum utilization. In the end, a typical 49-cell cellular network with 70 channels is examined to demonstrate the validity of the proposed technique.

[1]  Kazuyuki Aihara,et al.  Chaotic simulated annealing by a neural network model with transient chaos , 1995, Neural Networks.

[2]  Nobuo Funabiki,et al.  A three-stage heuristic combined neural-network algorithm for channel assignment in cellular mobile systems , 2000, IEEE Trans. Veh. Technol..

[3]  Ian F. Akyildiz,et al.  A survey on spectrum management in cognitive radio networks , 2008, IEEE Communications Magazine.

[4]  Marimuthu Palaniswami,et al.  Neural network-based dynamic channel assignment for cellular mobile communication systems , 1994 .

[5]  Moshe Zukerman,et al.  Efficiency comparison of channel allocation schemes for digital mobile communication networks , 2000, IEEE Trans. Veh. Technol..

[6]  Simon Haykin,et al.  A dynamic channel assignment policy through Q-learning , 1999, IEEE Trans. Neural Networks.

[7]  Lipo Wang,et al.  A noisy chaotic neural network for solving combinatorial optimization problems: stochastic chaotic simulated annealing , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[8]  Harilaos G. Sandalidis,et al.  Borrowing channel assignment strategies based on heuristic techniques for cellular systems , 1999, IEEE Trans. Neural Networks.

[9]  Jun Wang,et al.  A multistage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment , 2002, IEEE Trans. Veh. Technol..

[10]  J. J. Hopfield,et al.  “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.

[11]  E. Del Re,et al.  A dynamic channel allocation technique based on Hopfield neural networks , 1994, Proceedings of 1994 3rd IEEE International Conference on Universal Personal Communications.

[12]  Tommy W. S. Chow,et al.  Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map , 2006, Neural Computing & Applications.

[13]  Nasser M. Nasrabadi,et al.  Cellular radio channel assignment using a modified Hopfield network , 1997 .

[14]  D. Kunz,et al.  Channel assignment for cellular radio using neural networks , 1991 .