Universal modeling and optimization for multi-radio access selection

Authors:
Chen Gu;Yong Zhang;Wenjing Ma;Ningning Liu;Yi Man
Affiliations:
PCN&CAD Centre, Beijing University of Posts and Telecommunications, Beijing, China;PCN&CAD Centre, Beijing University of Posts and Telecommunications, Beijing, China;PCN&CAD Centre, Beijing University of Posts and Telecommunications, Beijing, China;PCN&CAD Centre, Beijing University of Posts and Telecommunications, Beijing, China;PCN&CAD Centre, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
Cited 1

Access network selection based on fuzzy logic and genetic algorithms

Advances in Artificial Intelligence
A Novel Hierarchical Network Selection Strategy with Adaptive QoS Level Scheme in 2-Tier Multi-rate Mobile WiMAX Networks

APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference

Optimum Selection of Access Networks Within Heterogeneous Wireless Environments Based on Linear Programming Techniques

Mobile Networks and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multi-radio access selection (MRAS) is a key issue to obtain performance improvement in heterogeneous wireless networks. MRAS can affect the users' QoS directly, as well as the resource allocation and load balance for networks. In this paper, a universal MRAS decision model was set up by multi-objective optimization methods. Parameters from upper layer and lower layer related with network selection were classified systematically, and a new multi-attributes decision making algorithm combined genetic algorithm and Tchebycheff method was proposed. The simulation results show that the parameters are identified effectively, and the network selection mechanism we proposed based on the multi-objective optimization modeling can select the appropriate network for users.