基于资源限制的融合网络QoS模型优化
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(1.国网辽宁电力有限公司信息通信分公司,辽宁 沈阳 110006;2.北京交通大学电子信息工程学院,北京 100044)

作者简介:

李 巍(1979—),男,副高级工程师,研究方向为信息通信运行。E-mail:lndlliwei@163.com

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国家自然科学基金项目资助(61371068)


Optimization of QoS model of integrated network based on resource constraints
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(1. Information and Communication Branch, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China;2. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China)

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    摘要:

    为提高公共通信网络的规范性和安全性,考虑基于云平台技术,将数据通信网与信息内网进行融合和统一部署。随着通信数据量的增长,对融合网络QoS服务质量和基站与用户的资源消耗提出了更高要求。针对融合机制中的QoS需求,提出将分布式Caching与D2D结合的节点间通信机制引入到两网融合中。并针对基站和用户对于资源的限制,提出在现有模型基础上,引入传输消耗和D2D信令消耗作为约束条件,以求解一个更为合理的缓存分布。将所提方法应用于国网公司网络融合案例中,其使得融合网络的通信机制更加符合实际需求,取得了较好成效。

    Abstract:

    In order to improve standardization and safety of the public communication network, the data communication network and information network are supposed to be integrated and deployed together based on the cloud platform technology. The growth of communication data raises higher demands for the QoS service quality of the fused network, and also for the resource consumption of the base station and users. According to the QoS demand of the integration mechanism, a mechanism of communication between nodes, which combines distributed Caching with D2D, is proposed for the integration of two networks. According to the resource constraints to the base station and users, it is proposed to add transmission consumption and D2D signaling cost as constraints to the existing model to obtain a more reasonable distribution of the cache. The proposed approach is applied to the network integration case of the State Grid Corporation of China. It makes the communication mechanism of the integrated network more consistent with actual demand, and achieves good results. This work is supported by National Natural Science Foundation of China (No. 61371068).

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李巍,王鸥,郑善奇,等.基于资源限制的融合网络QoS模型优化[J].电力系统保护与控制,2019,47(1):144-149.[LI Wei, WANG Ou, ZHENG Shanqi, et al. Optimization of QoS model of integrated network based on resource constraints[J]. Power System Protection and Control,2019,V47(1):144-149]

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  • 收稿日期:2017-12-24
  • 最后修改日期:2018-02-21
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  • 在线发布日期: 2019-01-06
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