dc.contributor.author | Yang, X | en_US |
dc.contributor.author | Wang, Y | en_US |
dc.contributor.author | Bigham, J | en_US |
dc.contributor.author | Cuthbert, L | en_US |
dc.contributor.author | IEEE | en_US |
dc.date.accessioned | 2011-11-02T09:43:15Z | |
dc.date.issued | 2011 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/2244 | |
dc.description | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.description | This article was accepted for publication in Wireless Communications and Networking Conference (WCNC), 2011 IEEE, Cancun, Quintana Roo, 28-31 March 2011. | |
dc.description | keywords: NEAT;QoS constraint;adaptive CAC scheme;adaptive connection admission control scheme;complex constraint reinforcement learning problem;learning approach;mobile network;network revenue maximization;neuroevolution of augmenting topology;noisy fitness;superiority of feasible point;wireless network;adaptive control;control engineering computing;learning (artificial intelligence);mobile radio;quality of service;telecommunication computing;telecommunication congestion control;telecommunication traffic; | |
dc.format.extent | 897 - 902 | en_US |
dc.subject | Adaptive CAC | en_US |
dc.subject | NEAT | en_US |
dc.subject | noise control | en_US |
dc.subject | constraint optimization | en_US |
dc.title | Adaptive CAC Using NeuroEvolution to Maximize Throughput in Mobile Networks | en_US |
dc.type | Conference Proceeding | |
dc.rights.holder | © Copyright 2017 IEEE - All rights reserved | |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000297160200152&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |