An Optimal Radio Access Network Selection Method for Heterogeneous Wireless Networks

2013 ◽  
pp. 244-252 ◽  
Author(s):  
Glaucio H. S. Carvalho ◽  
Isaac Woungang ◽  
Md Mizanur Rahman ◽  
Alagan Anpalagan
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Access Network ◽  
Selection Method ◽  
Network Selection ◽  
Radio Access Network ◽  
Radio Access ◽  
Access Network Selection

scholarly journals A flexible and generalized framework for access network selection in heterogeneous wireless networks

2017 ◽  
Vol 40 ◽  
pp. 556-576 ◽  
Author(s):  
Xingwei Wang ◽  
Dapeng Qu ◽  
Keqin Li ◽  
Hui Cheng ◽  
Sajal K. Das ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Access Network ◽  
Network Selection ◽  
Generalized Framework ◽  
Access Network Selection

scholarly journals Access Network Selection Based on Fuzzy Logic and Genetic Algorithms

2008 ◽  
Vol 2008 ◽  
pp. 1-12 ◽  
Author(s):  
Mohammed Alkhawlani ◽  
Aladdin Ayesh
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
User Satisfaction ◽  
Heterogeneous Wireless Networks ◽  
General Scheme ◽  
Access Network ◽  
Network Selection ◽  
Radio Access ◽  
Access Network Selection

In the next generation of heterogeneous wireless networks (HWNs), a large number of different radio access technologies (RATs) will be integrated into a common network. In this type of networks, selecting the most optimal and promising access network (AN) is an important consideration for overall networks stability, resource utilization, user satisfaction, and quality of service (QoS) provisioning. This paper proposes a general scheme to solve the access network selection (ANS) problem in the HWN. The proposed scheme has been used to present and design a general multicriteria software assistant (SA) that can consider the user, operator, and/or the QoS view points. Combined fuzzy logic (FL) and genetic algorithms (GAs) have been used to give the proposed scheme the required scalability, flexibility, and simplicity. The simulation results show that the proposed scheme and SA have better and more robust performance over the random-based selection.

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