@inproceedings{ced4bd27b07e4ec78f6eec19ce6c296b,
title = "Call admission control combined with resource allocation in 3G wireless networks",
abstract = "This paper propose a novel learning approach that applies NeuroEvolution of Augmenting Topology (NEAT) based learning algorithm to resolve Call Admission Control (CAC) combined with resource allocation in adaptive multimedia wireless networks; this not only decides whether to accept or reject a request call, but also determines the allocated bandwidth to that requesting call. The objective is to maximize the network revenue and maintain predefined QoS constraints. The QoS constraints are classified as two categories: long period constraints and instantaneous constraints. Long period constraints are handled by a constraint handling method called Superiority of Feasible Points. Instantaneous constraints and system limitations are handled by an External Supervisor.",
keywords = "CAC, Constraint optimization problem, NEAT, Resource allocation",
author = "Xu Yang and John Bigham and Laurie Cuthbert",
year = "2009",
doi = "10.1109/ICCOMTA.2009.5349217",
language = "English",
isbn = "9781424448203",
series = "Proceedings of 2009 IEEE International Conference on Communications Technology and Applications, IEEE ICCTA2009",
pages = "167--172",
booktitle = "Proceedings of 2009 IEEE International Conference on Communications Technology and Applications, IEEE ICCTA2009",
note = "2009 IEEE International Conference on Communications Technology and Applications, IEEE ICCTA2009 ; Conference date: 16-10-2009 Through 18-10-2009",
}