Author(s):
Nuno Coutinho 
; Susana Sargento ; Vítor Jesus
Date: 2013
Origin: Electrónica e Telecomunicações
Subject(s): mobile terminals; access networks; mobile terminals; access networks
Document details
Intelligence in Mobility Decisions
Description
In the future, different technologies, such as Wi-Fi, UMTS, HSDPA and Wimax, will converge in a complementary manner forming a heterogeneous infrastructure.Moreover, the evolution of mobile terminals will allow them to connect simultaneously to several access networks and make use of multihoming capabilities. Thus, the concept of “always best connected” (ABC), consisting in using the devices and access technologies that best suit communications needs, users and networks, can now be implemented.In this paper we present a performance study of a contextaware and personalized network selection algorithm that enables the support of any criteria, quantitative andqualitative, including context and preferences, network andterminal characteristics, to determine the best accessconnection for each terminal and service. The performanceresults show the benefits of using such an algorithm in thenetwork performance, and address the influence of specificcriteria and constraints considered in the decision process. In the future, different technologies, such as Wi-Fi, UMTS, HSDPA and Wimax, will converge in a complementary manner forming a heterogeneous infrastructure.Moreover, the evolution of mobile terminals will allow them to connect simultaneously to several access networks and make use of multihoming capabilities. Thus, the concept of “always best connected” (ABC), consisting in using the devices and access technologies that best suit communications needs, users and networks, can now be implemented.In this paper we present a performance study of a contextaware and personalized network selection algorithm that enables the support of any criteria, quantitative andqualitative, including context and preferences, network andterminal characteristics, to determine the best accessconnection for each terminal and service. The performanceresults show the benefits of using such an algorithm in thenetwork performance, and address the influence of specificcriteria and constraints considered in the decision process.
In the future, different technologies, such as Wi-Fi, UMTS, HSDPA and Wimax, will converge in a complementary manner forming a heterogeneous infrastructure.Moreover, the evolution of mobile terminals will allow them to connect simultaneously to several access networks and make use of multihoming capabilities. Thus, the concept of “always best connected” (ABC), consisting in using the devices and access technologies that best suit communications needs, users and networks, can now be implemented.In this paper we present a performance study of a contextaware and personalized network selection algorithm that enables the support of any criteria, quantitative andqualitative, including context and preferences, network andterminal characteristics, to determine the best accessconnection for each terminal and service. The performanceresults show the benefits of using such an algorithm in thenetwork performance, and address the influence of specificcriteria and constraints considered in the decision process. In the future, different technologies, such as Wi-Fi, UMTS, HSDPA and Wimax, will converge in a complementary manner forming a heterogeneous infrastructure.Moreover, the evolution of mobile terminals will allow them to connect simultaneously to several access networks and make use of multihoming capabilities. Thus, the concept of “always best connected” (ABC), consisting in using the devices and access technologies that best suit communications needs, users and networks, can now be implemented.In this paper we present a performance study of a contextaware and personalized network selection algorithm that enables the support of any criteria, quantitative andqualitative, including context and preferences, network andterminal characteristics, to determine the best accessconnection for each terminal and service. The performanceresults show the benefits of using such an algorithm in thenetwork performance, and address the influence of specificcriteria and constraints considered in the decision process.
Document Type
Article
Language English
Editor(s) ;
Language English
Editor(s) ;
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