Applying Machine Learning Approach to Identifying Channels in MIMO Networks for Communications in 5G-Enabled Sustainable Smart Cities

IF 2.3 4区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Mobile Networks & Applications Pub Date : 2023-11-04 DOI:10.1007/s11036-023-02213-8

Shalini Stalin, Manish Gupta, K. Makanyadevi, Amit Agrawal, Anupriya Jain, Shraddha V. Pandit, Ali Rizwan

引用次数: 0

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应用机器学习方法识别5g可持续智慧城市中MIMO网络中的通信通道

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mobile Networks & Applications 工程技术-电信学

CiteScore

9.50

自引率

5.30%

发文量

198

审稿时长

6-12 weeks

期刊介绍： Mobile Networks and Applications'' technical scope covers mobility solutions that provide communication technologies and mobile services, which enables users to access resources and share information freely, anytime anywhere. The emerging symbiosis of wireless communication, the ever more powerful mobile devices, with the back-end resources of the cloud, making the user fully location independent. The journal addresses the convergence of mobility, computing and information organization, services and management. In approving Special Issues, the Journal places an equal emphasis on the various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more `classical'' topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution.