DocumentCode
2475663
Title
Convergence of Distributed Learning Algorithms for Optimal Wireless Channel Allocation
Author
Leith, D.J. ; Clifford, P.
Author_Institution
Hamilton Inst., National Univ. of Ireland, Maynooth
fYear
2006
fDate
13-15 Dec. 2006
Firstpage
2980
Lastpage
2985
Abstract
In this paper we establish the convergence to an optimal non-interfering channel allocation of a class of distributed stochastic algorithms. We illustrate the application of this result via (i) a communication-free distributed learning strategy for wireless channel allocation and (ii) a distributed learning strategy that can opportunistically exploit communication between nodes to improve convergence speed while retaining guaranteed convergence in the absence of communication
Keywords
channel allocation; convergence; learning automata; optical communication; wireless LAN; communication-free distributed learning; convergence speed; distributed stochastic algorithms; optimal noninterfering channel allocation; optimal wireless channel allocation; Channel allocation; Convergence; Distributed algorithms; Interference; Land mobile radio cellular systems; Optimal control; Stochastic processes; USA Councils; Wireless LAN; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2006 45th IEEE Conference on
Conference_Location
San Diego, CA
Print_ISBN
1-4244-0171-2
Type
conf
DOI
10.1109/CDC.2006.376821
Filename
4177619
Link To Document