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Exponential utility function based criteria for network selection in heterogeneous wireless networks
Author(s) -
Khan Shoaib,
Ahmad Mian Ilyas,
Hussain Farhan
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.2673
Subject(s) - selection (genetic algorithm) , computer science , exponential function , function (biology) , wireless network , wireless , exponential growth , mathematics , artificial intelligence , telecommunications , biology , mathematical analysis , evolutionary biology
A new utility function‐based framework is proposed for network selection that utilises exponential functions and is monotonically related to a function of the average of additive and multiplicative utility functions. This means that an intermediate solution has been identified that not only includes inter‐dependencies of performance criteria but also reduces the network elimination. Numerical results compare the performance of the existing and proposed utility functions and it can be seen that the proposed utility function is a good choice for network selection.

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