Title
A Model Based RL Admission Control Algorithm for Next Generation Networks
Abstract
This paper examines the driving forces behind the IP Multimedia Subsystem (IMS) and the Web 2.0 worlds. IMS moves operators' vertically integrated model to a horizontal infrastructure, enabling operators to reduce operating and capital expenses. On the ...
Year
DOI
Venue
2009
10.1109/ICN.2009.39
ICN '09 Proceedings of the 2009 Eighth International Conference on Networks
Keywords
Field
DocType
network scenario,next generation networks,classic greedy algorithm,horizontal infrastructure,network operators revenue,reinforcement learning approach,capital expense,different constant bit rate,driving force,integrated model,end user,semi-markov decision process,rl admission control algorithm,associated revenue,better solution,call admission control problem,ip multimedia subsystem,enabling operator,greedy algorithm,explicit knowledge,greedy algorithms,quality of service,state transition,constant bit rate,reinforcement learning,next generation network,class of service,markov processes,network topology,next generation networking,cac,bandwidth,computational modeling,qos
Admission control,Computer science,Call Admission Control,Explicit knowledge,Computer network,Quality of service,Greedy algorithm,Real-time computing,Network topology,Class of service,Reinforcement learning
Conference
ISSN
Citations 
PageRank 
2161-2897
4
0.44
References 
Authors
4
3
Name
Order
Citations
PageRank
Silvano Mignanti1111.83
Alessandro Di Giorgio2447.39
Vincenzo Suraci315118.59