Energy-Efficient Resource Allocation for 6G Hybrid Network Based on Native AI
Author:
Affiliation:
1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China
2. China Mobile Research Institute ZGC Institute of Ubiquitous-X Innovation and Applications,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10464388/10464393/10464463.pdf?arnumber=10464463
Reference14 articles.
1. Architecture and technology of 6g wireless native ai,2022
2. The SOLIDS 6G Mobile Network Architecture: Driving Forces, Features, and Functional Topology
3. Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts
4. Intelligent decision making framework for 6G network
5. A multidimensional resource collaborative allocation solution of base stations based on reinforcement learning;Zheng;Radio Communications Tech-nology,2022
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