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A Novel QoS Mapping Mechanism in Integrated UMTS/WLANs

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Abstract

Due to the problem of different QoS granularity in integrated UMTS/WLANs, how we construct effective QoS mapping mechanism for user satisfaction is essential during the changes of access networks, so called, handoffs. So in this paper, a novel dynamical QoS mapping mechanism based on Application Service Map (ASM) is proposed in order to support end to end QoS and minimize the service quality degradations. Based on the access network corresponding classification methods, all services can be categorized by priority and subdivides each grade of service into three sub-levels based on ASM. The proposed mechanism contains a two-way QoS mapping adjustment mechanism and it can dynamically adjust the QoS mapping relationship to optimize the allocation of resource according to present load condition of network. And a two-level QoS mapping selection algorithm based on the sub-level and priority of QoS service is used in the two-way QoS mapping adjustment mechanism to adaptively select more refined QoS. As an experimental result, the proposed mechanism can greatly improve the utilization of network resource and the user’s satisfaction.

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Acknowledgments

This work was partially supported by the National Science and Technology Major Projects under grant 2014ZX03005001, partly by Science and Technology Commission of Shanghai Municipality under grant 13XD1403400, partly by National Natural Science Foundation Youth Science Foundation (No. 61302113), and partly by International S&T Cooperation Program of Qinghai province (No. 2013-H-811).

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Authors and Affiliations

  1. Shanghai Research Center for Wireless Communications, Shanghai, 200335, People’s Republic of China

    Weiwei Gao, Jinyong Cao & Yong Xiong

Authors
  1. Weiwei Gao
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  2. Jinyong Cao
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  3. Yong Xiong
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Corresponding author

Correspondence to Weiwei Gao.

Appendix

Appendix

We establish a Lagrange function in order to solve the model (6) which has been mentioned in Sect. 3.2, The Lagrange function is given by

$$\begin{aligned} L=\alpha \sum _{j=1}^N {\left( {\omega _j -\omega _j^0 } \right) ^{2}} +\beta \sum _{i=1}^m {\sum _{j=1}^N {\left( {X_j -P_{ij} } \right) ^{2}\omega _j^2 } } +2\lambda \left( {\sum _{j=1}^N {\omega _j -1} } \right) \end{aligned}$$
(9)

where \(\lambda \) denotes the Lagrange multiplier associated with the constraint. Then we make \({\partial L}/{\partial \omega _j =0}\), we have that

$$\begin{aligned}&\alpha \left( {\omega _j -\omega _j^0 } \right) +\beta \sum _{i=1}^m {\left( {X_j -P_{ij} } \right) ^{2}\omega _j } +\lambda =0\nonumber \\&\quad \lambda ={\left( {\sum _{j=1}^N {b_j c_j -1} } \right) }\Bigg /{\sum _{j=1}^N {b_j } } \end{aligned}$$
(10)

where \(c_j =\alpha \omega _j^0 \),\(b_j =1/{\left( {\alpha +\beta \sum _{i=1}^m {\left( {X_j -P_{ij} } \right) ^{2}} } \right) }\). Simultaneous Eqs. (9) and (10), we can obtain the value of the attribute weight (\(\omega _j^{*} )\)

$$\begin{aligned} \omega _j^{*} =b_j \left[ {c_j +{\left( {1-\sum _{j=1}^N {b_j c_j } } \right) }\Big /{\sum _{j=1}^N {b_j } }} \right] {\begin{array}{ll} &{} {j=1,2,\ldots ,N} \\ \end{array} } \end{aligned}$$
(11)

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Gao, W., Cao, J. & Xiong, Y. A Novel QoS Mapping Mechanism in Integrated UMTS/WLANs. Wireless Pers Commun 81, 1101–1116 (2015). https://doi.org/10.1007/s11277-014-2174-4

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