提供智能服务的认知网络架构系统:基于博弈激励机制的智能自组织方法

IF 1.9 Q3 COMPUTER SCIENCE, CYBERNETICS
Yuxin Liu, Jinsong Gui, N. Xiong
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引用次数: 0

摘要

人们对在移动智能设备上部署数据密集型和内容丰富的应用程序越来越感兴趣。此外,超可靠和低延迟的通信将成为智能设备用户获得高质量体验的关键要求。然而,现有的蜂窝架构很难提供丰富和稳定的频谱供应来支持超可靠和低延迟的通信。尽管未来的无线网络有望有效地利用太赫兹频段,但由于太赫兹频段的传播模型和无线电接口技术的不成熟,难以获得稳定、超可靠和低延迟的通信。因此,本文引入基于数据驱动的认知网络架构的认知网络代理,整合并充分利用各种资源,为用户提供良好的网络服务,包括频谱和设备认知引擎以及认知网络服务构建引擎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Network Architecture Systems to Provide Intelligent Services: An Intelligent Self-Organization Approach With a Game-Based Incentive Mechanism
There will exist a growing interest in deploying data-intensive and content-rich applications on mobile smart devices. Also, ultrareliable and low-latency communications will be the critical requirements for obtaining good quality of experience for users of smart devices. However, the existing cellular architectures hardly provide a rich and stable spectrum supply to support ultrareliable and low-latency communications. Although future wireless networks are expected to effectively exploit the terahertz frequency band, it is difficult to obtain stable, ultrareliable, and low-latency communications due to the immaturity of both propagation models and radio interface technologies in such a high-frequency band. Therefore, this article introduces cognitive network brokers based on a data-driven cognitive network architecture to integrate and make full use of various resources to provide good network services for users, including an engine for spectrum and device cognition and an engine for cognitive network service construction.
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来源期刊
IEEE Systems Man and Cybernetics Magazine
IEEE Systems Man and Cybernetics Magazine COMPUTER SCIENCE, CYBERNETICS-
自引率
6.20%
发文量
60
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