DocumentCode :
3600255
Title :
Practical voice session selection with FAHP in next generation wireless network
Author :
Fong-Ching Yuan ; Tein-Yaw Chung
Author_Institution :
Dept. of Inf. Manage., Yuan Ze Univ., Chungli, Taiwan
fYear :
2015
Firstpage :
196
Lastpage :
201
Abstract :
Setting up a voice session based on users´ preference is a fundamental requirement in future multi-mode heterogeneous wireless network. In the past, a smart session selection (S3) scheme is presented to meet this requirement. S3 abstracts the voice session selection between users as a multi-criteria decision making (MCDM) problem, and copes with the problem by using Analytic Hierarchy Process (AHP) to select a best network connection that satisfy quality constraint and users´ preference. However, AHP is inherently difficult to express user´s preference due to its restriction in preference weighting. This study overcomes the vagueness in the preferences of AHP by using Fuzzy Analytic Hierarchy Process (FAHP) to recommend a network connection with assistance of user profile and IP multimedia subsystem (IMS) signaling. An example is illustrated to show that FAHP can successfully select a good network connection that fulfills the requirement of users.
Keywords :
IP networks; analytic hierarchy process; mobile radio; telecommunication signalling; voice communication; FAHP; IP multimedia subsystem signaling; fuzzy analytic hierarchy process; multicriteria decision making problem; multimode heterogeneous wireless network; next generation wireless network; smart session selection; voice session selection; Analytic hierarchy process; Delays; Multimedia communication; Power demand; Security; Telephone sets; Analytic Hierarchy Process (AHP); Fuzzy Analytic Hierarchy Process (FAHP); IP Multimedia Subsystem (IMS); Multi-Criteria Decision Making (MCDM); Smart Session Selection (S3);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2015 Seventh International Conference on
ISSN :
2288-0712
Type :
conf
DOI :
10.1109/ICUFN.2015.7182533
Filename :
7182533
Link To Document :
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