DocumentCode :
3174483
Title :
Integrated Control Platform with Load Balancing Algorithm in Hybrid Optical Wireless Networks
Author :
Yan, Ying ; Dittman, L. ; Wong, Shing-Wa ; Kazovsky, Leonid G.
Author_Institution :
Dept. of Photonics Eng., Tech. Univ. of Denmark, Lyngby, Denmark
fYear :
2009
fDate :
20-23 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
In this paper we cover the problem of load balancing in terms of optimum cell selection and wireless channel condition in the hybrid optical wireless network. For a given set of multimedia users with minimum quality of service requirements and a set of best effort users we find the optimum resource allocation that guarantees services for the users and maximizes the total network utility. Our model applies for the convergence network of EPON and WiMAX where the TDM-like resource assignment scheme and the WiMAX air interfaces are used. We achieve convexity of the problem and solve the optimization problem. The proposed algorithm is simulated using MATLAB and the results show validation of the framework, i.e., load balancing scheme gains better network performances.
Keywords :
optical communication; optimisation; quality of service; resource allocation; wireless channels; EPON; MATLAB; TDM-like resource assignment scheme; WiMAX air interfaces; convergence network; hybrid optical wireless networks; integrated control platform; load balancing algorithm; multimedia users; network performances; network utility; optimization problem; optimum cell selection; optimum resource allocation; quality of service requirements; wireless channel condition; Centralized control; Integrated optics; Load management; Optical fiber networks; Passive optical networks; Quality of service; Resource management; Utility programs; WiMAX; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technologies, Mobility and Security (NTMS), 2009 3rd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-4765-7
Type :
conf
DOI :
10.1109/NTMS.2009.5384718
Filename :
5384718
Link To Document :
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