DocumentCode :
3430141
Title :
A Pulse Coupled Neural Network Based Approach for Frequency Assignment Problem in Non-Homogeneous Cellular Radio Networks
Author :
Bo Zhang ; Benxiong Huang ; Jiang Zhu ; Kui Xu
Author_Institution :
Dept. of Electron. & Inf. Eng., Hua Zhong Univ. of Technol. & Sci., Wuhan
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
Frequency Assignment Problem is a NP problem. Separation of frequencies assigned to cells needs to avoid causing interference and fit minimum span constraints, because the cost of unnecessary assigned frequencies will be high. The aim of our work is to find optimal solution in frequency assignment with minimum cost function and number of channels in non- homogeneous cellular networks. Compared with the work presented in the literature, this paper presents a novel algorithm based on pulse-coupled neural network (PCNN) model to solve the frequency assignment problem in non-homogeneous cellular radio networks, by highlighting the frequency causing interference to fit the interference and minimum span constraints.
Keywords :
cellular radio; computational complexity; frequency allocation; neural nets; radiofrequency interference; telecommunication computing; NP problem; PCNN model; cost function; frequency assignment problem; interference constraints; nonhomogeneous cellular radio networks; pulse coupled neural network; Brain modeling; Cellular neural networks; Cost function; Financial advantage program; Frequency; Interference constraints; Land mobile radio cellular systems; Neural networks; Neurons; Radiofrequency interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.284
Filename :
4678193
Link To Document :
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