DocumentCode :
2490549
Title :
Globally optimized dynamic channel assignment for cellular radio systems
Author :
Dang, Anhong ; Zhu, Shihua ; Cheng, Jiang
Author_Institution :
Xi´´an Jiaotong Univ., China
fYear :
1998
fDate :
22-24 Oct 1998
Abstract :
This paper presents a new channel assignment strategy named globally optimized dynamic channel assignment (GODCA). The GODCA differs from other strategies by consistently keeping the system in the utmost optimal state. The algorithm is simple and straightforward. It employs the Hopfield neural network for optimization which avoids the complicated assessment of channel compactness and guarantees optimum solution for every assignment. The analysis and simulations show that the GODCA algorithm can attain low blocking probability disregarding the traffic density of the system, hence, it has better performance than the conventional fixed and dynamic channel assignments
Keywords :
Hopfield neural nets; cellular radio; channel allocation; optimisation; probability; telecommunication computing; GODCA; Hopfield neural network; algorithm; cellular radio systems; conventional fixed channel assignment; dynamic channel assignment; globally optimized dynamic channel assignment; low blocking probability; optimum solution; performance; simulations; Algorithm design and analysis; Analytical models; Frequency; Hopfield neural networks; Land mobile radio cellular systems; Mobile communication; Performance analysis; Symmetric matrices; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
Type :
conf
DOI :
10.1109/ICCT.1998.741151
Filename :
741151
Link To Document :
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