Research on Load Balancing Based on Multi-agent in Ubiquitous Networks

Author

Jiang Qing ; Xu Mei ; Tang Lun ; Chen Qian-bin

Author_Institution

Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China

Volume

3

fYear

2010

fDate

11-12 May 2010

Firstpage

10

Lastpage

13

Abstract

Next-generation Network wireless Communication System has a variety of access modes. In order to solute how to select a proper access network under this feature and to realize the load balancing, A ubiquitous networks configuration based on multi-agent is proposed in this paper, use multi-agent Q-learning to realize the load balancing in Ubiquitous Networks with heterogeneous Radio Access Technologies (RAT). Agent in the Radio Access Network (RAN) collects radio access networks´ loading information, then feed back them by communicate between agents. Agents get optimal policy through trial-and-error and interaction with wireless environment and learn to allocate the proper RAN for each session. Simulation results show that the proposed algorithm realizes the autonomy of resource control through the agents´ online learning process and achieves the load balancing through the agents´ coordinate.

Keywords

learning (artificial intelligence); multi-agent systems; radio access networks; resource allocation; ubiquitous computing; agents online learning process; heterogeneous radio access technologies; load balancing; multiagent; next-generation network wireless communication system; radio access network; ubiquitous networks; Computer networks; Intelligent agent; Intelligent networks; Learning; Load management; Multiagent systems; Q factor; Radio access networks; Resource management; Wireless communication; Multi-agent; Q–learning; Radio Access Technology; Ubiquitous Network; load balancing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.756

Filename

5522679