Dynamic Self-configuration of User QoS for Next Generation Network

Feng, Guangsheng; Wang, Huiqiang; Li, Bingyang; He, Zengyou

doi:10.1109/npc.2009.12

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…[6]. Scholar Fen Guangshen et alput forward a method of ensuring the users' QoS level by using utility function, interrupt management mechanism and active characteristics of cognitive network [7] .…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Evaluation Approach for Cognitive Network

Liu¹,

Zhenguo²

2015

Proceedings of the 5th International Conference on Computer Engineering and Networks — PoS(CENet2015)

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The cognitive network has become a hot issue in the study of next generation network and its network performance has also been given more and more attentions. Now as to the cognitive network performance evaluation, the study is to consider some performance index in isolation, failing to consider various performance indicators in various kinds of uncertainty factors in the process of evaluation. In order to solve the existing performance evaluation of cognitive network with random and fuzzy problems, a method for evaluating the uncertainty of cognitive network is proposed in this paper. The paper studies and then puts forward the cognitive network performance evaluation method based on cloud model, which implements quantitative and qualitative swaps of cognitive network performance. Finally, the experiment is given to demonstrate the feasibility of the evaluation method.

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Section: Introductionmentioning

confidence: 99%

Uncertainty Evaluation Approach for Cognitive Network

Liu¹,

Zhenguo²

2015

Proceedings of the 5th International Conference on Computer Engineering and Networks — PoS(CENet2015)

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The Optimal Resource Self-configuration Method of Cognitive Network for Survivability Enhancement

Wang

Zhao

et al. 2020

JWE

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In view of that general lack of intelligence and flexibility of the existing network resource allocation methods in the case of time-varying environments and diversified requirements, an efficient self-configuration method is put forward to optimize the allocation of resources and improve the survivability of system. First of all, the utility function of consumption domain is introduced as an indicator to pre-arrange the priority of user’s QoS, as a result, the utility maximization of the system under resource constraint is obtained. Then, based on this definition, a multidimensional dynamic programming framework is proposed to define and describe the self-configuration process, and the problem model is constructed under certain constraints. Furthermore, the adaptive adjustment and configuration of resources are implemented by determining the priority sequence of user services, finding the optimal resource configuration scheme, and optimizing the time configuration window. Finally, The simulation results show that the proposed method is superior to the traditional resource allocation scheme in terms of system reliability, connectivity, broadband utilization, average response time and transmission rate, which improves the system’s ability to adapt to the environment intelligently and survivability effectively.

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Dynamic Self-configuration of User QoS for Next Generation Network

Cited by 2 publications

References 10 publications

Uncertainty Evaluation Approach for Cognitive Network

Uncertainty Evaluation Approach for Cognitive Network

The Optimal Resource Self-configuration Method of Cognitive Network for Survivability Enhancement

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