Title
Traffic allocation control using support vector machine in heterogeneous wireless link aggregation
Abstract
In heterogeneous wireless network environment, various radio access networks (RANs) are available for mobile terminals which have multiple wireless network interfaces to connect to each different RAN. However, it is very difficult to improve the throughput by aggregating different RANs, which have different quality of service (QoS) in the throughput, the delay, the packet loss, and so on. In this paper, we propose a traffic allocation control scheme using a machine learning algorithm to improve the link aggregation throughput in such heterogeneous wireless networks. We introduce the support vector machine, which has an advantage on generalization to have good performance for unknown input patterns. By our experiments using a cognitive wireless network system, called Cognitive Wireless Clouds, it is clarified that our proposed scheme improves the throughput higher than the conventional methods based on the throughput of each RAN.
Year
DOI
Venue
2011
10.1109/CCNC.2011.5766562
Consumer Communications and Networking Conference
Keywords
Field
DocType
quality of service,radio links,radio networks,support vector machines,telecommunication congestion control,cognitive wireless cloud,cognitive wireless network system,heterogeneous wireless link aggregation,heterogeneous wireless network environment,machine learning algorithm,mobile terminal,radio access network,support vector machine,traffic allocation control,wireless network interface,wireless communication,resource manager,measurement,resource management,throughput
Wireless network,Heterogeneous wireless network,Computer science,Computer network,Wireless WAN,Maximum throughput scheduling,Heterogeneous network,Throughput,Wi-Fi array,Radio access network,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-8789-9
4
0.54
References 
Authors
3
5
Name
Order
Citations
PageRank
kazuki hashiguchi140.54
yousuke kon240.54
Mikio Hasegawa329043.75
Kentaro Ishizu422348.06
Hiroshi Harada547677.46