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Pricing Resources in LTE Networks through Multiobjective Optimization
Joint Authors
Lai, Yung-Liang
Jiang, Jehn-Ruey
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-05
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The LTE technology offers versatile mobile services that use different numbers of resources.
This enables operators to provide subscribers or users with differential quality of service (QoS) to boost their satisfaction.
On one hand, LTE operators need to price the resources high for maximizing their profits.
On the other hand, pricing also needs to consider user satisfaction with allocated resources and prices to avoid “user churn,” which means subscribers will unsubscribe services due to dissatisfaction with allocated resources or prices.
In this paper, we study the pricing resources with profits and satisfaction optimization (PRPSO) problem in the LTE networks, considering the operator profit and subscribers' satisfaction at the same time.
The problem is modelled as nonlinear multiobjective optimization with two optimal objectives: (1) maximizing operator profit and (2) maximizing user satisfaction.
We propose to solve the problem based on the framework of the NSGA-II.
Simulations are conducted for evaluating the proposed solution.
American Psychological Association (APA)
Lai, Yung-Liang& Jiang, Jehn-Ruey. 2014. Pricing Resources in LTE Networks through Multiobjective Optimization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049446
Modern Language Association (MLA)
Lai, Yung-Liang& Jiang, Jehn-Ruey. Pricing Resources in LTE Networks through Multiobjective Optimization. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1049446
American Medical Association (AMA)
Lai, Yung-Liang& Jiang, Jehn-Ruey. Pricing Resources in LTE Networks through Multiobjective Optimization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1049446
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049446