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