Energy-Efficient User Allocation and Content Updating in Mobile Edge Computing Networks-Reference-Cited by-同舟云学术

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Energy-Efficient User Allocation and Content Updating in Mobile Edge Computing Networks

Published:2024-06-09 Issue: Volume:8 Page:5275-5280
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Tan Jingchao¹,Zhang Tiancheng¹,Wang Chenyang²,Li Xiuhua³,Wang Xiaofei¹

Affiliation:

1. College of Intelligence and Computing, Tianjin University,Tianjin,China

2. College of Computer and Software Engineering, Shenzhen University,Shenzhen,Guangdong,China

3. School of Big Data & Software Engineering, Chongqing University,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622279.pdf?arnumber=10622279

Reference21 articles.

1. A Survey on 5G Radio Access Network Energy Efficiency: Massive MIMO, Lean Carrier Design, Sleep Modes, and Machine Learning

2. Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

3. Traffic analysis for 5G network slice based on machine learning

4. Research on 5G Network Slicing Strategy for Urban Complex Environment

5. Study and Investigation on 5G Technology: A Systematic Review

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