Title :
MADM-based network selection in heterogeneous wireless networks: A simulation study
Author :
Wang, Lusheng ; Binet, David
Author_Institution :
Telecom ParisTech (E.N.S.T.), Paris, France
Abstract :
Recently, network selection in heterogeneous wireless networks has been widely studied by using various mathematical models, in which MADM is one of the most popular. However, the usage of this model still has lots of existing issues in many scenarios, and there is lack of study on how to solve these issues in the scope of MADM-based network selection. Based on our previous survey, we firstly provide in this paper extensive simulations to demonstrate MADM´s feasibility in various scenarios. Meanwhile, we identify several important issues that have not been well solved in the current literature, such as the requirement of efficient weighting method, the usage of VHO properties, the tradeoff for handing-over to the new best network, and the immoderate load balancing compromising importance of other criteria. Combining with our studies on these issues, we finally propose a four-step integrated strategy for MADM-based network selection.
Keywords :
decision making; radio networks; resource allocation; telecommunication traffic; HWN; MADM-based network selection; VHO property; heterogeneous wireless network; immoderate load balancing; mathematical model; multiple attribute decision making; network traffic; Costs; Decision making; Diversity reception; Mathematical model; Proposals; Research and development; Surface acoustic waves; Telecommunications; Wireless LAN; Wireless networks; always best connected (ABC); heterogeneous wireless networks (HWNs); multiple attribute decision making (MADM); network selection;
Conference_Titel :
Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, 2009. Wireless VITAE 2009. 1st International Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-1-4244-4066-5
Electronic_ISBN :
978-1-4244-4067-2
DOI :
10.1109/WIRELESSVITAE.2009.5172507