2013
DOI: 10.1109/surv.2012.010912.00044
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Mathematical Modeling for Network Selection in Heterogeneous Wireless Networks — A Tutorial

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Cited by 310 publications
(184 citation statements)
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“…Many types of utility function are commonly used such as exponential, logarithmic, linear and sigmoidal [41]. In our framework, we use the logarithmic utility function as it has strict concavity property.…”
Section: Optimization Based Traffic Controlmentioning
confidence: 99%
“…Many types of utility function are commonly used such as exponential, logarithmic, linear and sigmoidal [41]. In our framework, we use the logarithmic utility function as it has strict concavity property.…”
Section: Optimization Based Traffic Controlmentioning
confidence: 99%
“…The game solution is found using Nash equilibrium concept, and the best response is determine for every pairs of leaders. However, the comparison of game theory techniques with MADM methods shows that game theory is more complex for implementation and the decision speed is slower than with other techniques [12]. Therefore, we intend to exploit the advantages of MADM techniques [13] and especially the simplicity of SAW and NPH [14], for the selection decision in a multi-operator network environment.…”
Section: Background and Related Workmentioning
confidence: 99%
“…In this context, [5] conclude that the mobility management of heterogeneous networks not only depends on network parameters, but also on terminal's velocity, battery power, location information, user's preferences, service's capabilities and QoS requirements. [4,6] presented a panorama of vertical Handover Decisions. Using cost or utility functions; utility/cost refers to the satisfaction that a good or service provides to the decision maker.…”
Section: Related Workmentioning
confidence: 99%
“…Using cost or utility functions; utility/cost refers to the satisfaction that a good or service provides to the decision maker. In the same context, [6] specified that other studies on the network selection issue could also evaluate networks based on utility/cost functions which combine multiple attributes. Furthermore, authors of [7], as well, proposed an algorithm for network selection based on averaged received signal strength, outage probability and distance.…”
Section: Related Workmentioning
confidence: 99%