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A Bandwidth Allocation Method Based on Psychological Factors Considering QoE of Users

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Mobile Web and Intelligent Information Systems (MobiWIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9228))

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Abstract

The explosion of the internet and its service are changing our daily lives and making our lives more convenient by becoming easily accessible from anywhere. However, the popularity of the internet also poses a challenge for network managers and internet service providers (ISPs): how is it possible meet the needs of users and optimize network resources? To solve this problem, it is necessary to find a feasible solution that allocates limited network resources to users reasonably. One allocation method, which has been investigated in previous studies, is based on the viewpoint of fairness in the quality of service (QoS). However, user satisfaction may vary depending on a users characteristics and individual psychological factors, even with the same network resources. To overcome this limitation, an allocation method based on the viewpoint of fairness in the quality of experience (QoE) is developed. From the viewpoint of the QoE, this paper proposes a bandwidth allocation method for mobile services that is based on the users psychological factors using the Newton-Raphson method. The proposed method can meet the requirements of both users and ISPs: it guarantees a fair QoE for users and increases the efficient management of network resources by ISPs.

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References

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Correspondence to Huong Pham-Thi or Takumi Miyoshi .

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© 2015 Springer International Publishing Switzerland

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Pham-Thi, H., Miyoshi, T. (2015). A Bandwidth Allocation Method Based on Psychological Factors Considering QoE of Users. In: Younas, M., Awan, I., Mecella, M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2015. Lecture Notes in Computer Science(), vol 9228. Springer, Cham. https://doi.org/10.1007/978-3-319-23144-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-23144-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23143-3

  • Online ISBN: 978-3-319-23144-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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