Deep Learning Driven Wireless Communications and Mobile Computing

Author:

Wu Huaming1ORCID,Han Zhu2,Wolter Katinka3,Zhao Yubin4,Ko Haneul5ORCID

Affiliation:

1. Tianjin University, Tianjin 300072, China

2. University of Houston, Houston, TX 77004, USA

3. Freie Universität Berlin, Berlin 14195, Germany

4. Chinese Academy of Sciences, Shenzhen 518055, China

5. Korea University, Sejong 30019, Republic of Korea

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An efficient task of floading mechanism using Genetic Operator Adaptive Firefly Algorithm (GOAFA) in an Edge-Cloud environment;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

2. TWO-PHASE COMBINED MODEL TO IMPROVE THE ACCURACY OF INDOOR LOCATION FINGERPRINTING;Journal of Computer Science and Cybernetics;2022-12-26

3. 6G With Smart Healthcare, Haptic Communication;Advances in Wireless Technologies and Telecommunication;2022-03-04

4. Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance With Machine Learning;IEEE Communications Surveys & Tutorials;2022

5. Evaluation of flying caching servers in UAV-BS based realistic environment;Vehicular Communications;2021-12

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