Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds,International Journal of Communication Systems

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Artificial intelligence point‐to‐point signal communication network optimization based on ubiquitous clouds
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-02 , DOI: 10.1002/dac.4507
Lin Hong ₁ , Lianbing Deng _{2,

3,

4} , Daming Li _{2,

3,

5} , Harry Haoxiang Wang ₆

Affiliation

At present, the application of communication network has spread to every area of social life. The progress of network technology has driven the development of information technology industry and the advancement of cloud computing. With the application of artificial intelligence and deep learning technology, the network becomes more and more intelligent, so the application of artificial intelligence theory in communication network optimization modeling is more extensive. In this paper, we propose the ubiquitous clouds framework and apply the artificial intelligence optimization scheme to the point‐to‐point (P2P) signal transmission network optimization scheme. For different application scenarios, this paper analyzes and experiments the proposed method. The experimental results show that the proposed method makes full use of the advantages of communication network resources which improves the efficiency of communication network optimization and also reduces the optimization cost to a certain extent compared with the state‐of‐the‐art approaches.

中文翻译：

基于普适云的人工智能点对点信号通信网络优化

目前，通信网络的应用已经扩展到社会生活的各个领域。网络技术的进步带动了信息技术产业的发展和云计算的发展。随着人工智能和深度学习技术的应用，网络变得越来越智能，因此人工智能理论在通信网络优化建模中的应用越来越广泛。在本文中，我们提出了无处不在的云框架，并将人工智能优化方案应用于点对点（P2P）信号传输网络优化方案。针对不同的应用场景，本文对所提出的方法进行了分析和实验。

更新日期：2020-07-02

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