Reinforcement Learning (RL) for optimal power allocation in 6G Network
Author:
Affiliation:
1. SMVDU,School of Electronics and Communication Engineering,Katra,India
2. IIITDM Jabalpur,Department of Electronics and Communication Engineering,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10113898/10113899/10113929.pdf?arnumber=10113929
Reference11 articles.
1. 6G Wireless Channel Measurements and Models: Trends and Challenges
2. Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service
3. A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies
4. Spectrum Sharing and Power Allocation Optimised Multi-hop Multi-path D2D Video Delivery in Beyond 5G Networks
5. Power Allocation for Uplink Multi-user Optical Wireless Communication Systems
Cited by 1 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. 6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges;Sensors;2024-03-15
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