User Preference Modelling for Access Selection in Multiple Radio Access Environments
Summary :
Access selection in future multiple radio access environments is considered in this paper from a new perspective, that of the consumer. A model is proposed for the automatic acquisition of user preferences to assist in access selection decision making. The proposed approach uses a two-level Bayesian C-Metanetwork that models individual user preferences in terms of affordable cost, acceptable level of quality of service and reputation of the access networks. User preferences under different contexts, such as leisure and business, are also considered. The model also adapts to the change of user preferences over time. A simulator has been developed to evaluate the proposed model and the simulation results are promising in terms of the proportion of correct preference predictions after a small number of training samples.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.11 pp.4186-4193
- Publication Date
- 2005/11/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.11.4186
- Type of Manuscript
- Special Section PAPER (Special Section on Software Defined Radio Technology and Its Applications)
- Category
Authors
Keyword
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Elaheh HOMAYOUNVALA, A. Hamid AGHVAMI, "User Preference Modelling for Access Selection in Multiple Radio Access Environments" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 11, pp. 4186-4193, November 2005, doi: 10.1093/ietcom/e88-b.11.4186.
Abstract: Access selection in future multiple radio access environments is considered in this paper from a new perspective, that of the consumer. A model is proposed for the automatic acquisition of user preferences to assist in access selection decision making. The proposed approach uses a two-level Bayesian C-Metanetwork that models individual user preferences in terms of affordable cost, acceptable level of quality of service and reputation of the access networks. User preferences under different contexts, such as leisure and business, are also considered. The model also adapts to the change of user preferences over time. A simulator has been developed to evaluate the proposed model and the simulation results are promising in terms of the proportion of correct preference predictions after a small number of training samples.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.11.4186/_p
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@ARTICLE{e88-b_11_4186,
author={Elaheh HOMAYOUNVALA, A. Hamid AGHVAMI, },
journal={IEICE TRANSACTIONS on Communications},
title={User Preference Modelling for Access Selection in Multiple Radio Access Environments},
year={2005},
volume={E88-B},
number={11},
pages={4186-4193},
abstract={Access selection in future multiple radio access environments is considered in this paper from a new perspective, that of the consumer. A model is proposed for the automatic acquisition of user preferences to assist in access selection decision making. The proposed approach uses a two-level Bayesian C-Metanetwork that models individual user preferences in terms of affordable cost, acceptable level of quality of service and reputation of the access networks. User preferences under different contexts, such as leisure and business, are also considered. The model also adapts to the change of user preferences over time. A simulator has been developed to evaluate the proposed model and the simulation results are promising in terms of the proportion of correct preference predictions after a small number of training samples.},
keywords={},
doi={10.1093/ietcom/e88-b.11.4186},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - User Preference Modelling for Access Selection in Multiple Radio Access Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 4186
EP - 4193
AU - Elaheh HOMAYOUNVALA
AU - A. Hamid AGHVAMI
PY - 2005
DO - 10.1093/ietcom/e88-b.11.4186
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2005
AB - Access selection in future multiple radio access environments is considered in this paper from a new perspective, that of the consumer. A model is proposed for the automatic acquisition of user preferences to assist in access selection decision making. The proposed approach uses a two-level Bayesian C-Metanetwork that models individual user preferences in terms of affordable cost, acceptable level of quality of service and reputation of the access networks. User preferences under different contexts, such as leisure and business, are also considered. The model also adapts to the change of user preferences over time. A simulator has been developed to evaluate the proposed model and the simulation results are promising in terms of the proportion of correct preference predictions after a small number of training samples.
ER -
English
