FROST: Towards Energy-efficient AI-on-5G Platforms – A GPU Power Capping Evaluation
Author:
Affiliation:
1. Toshiba Europe Ltd,Bristol Research & Innovation Laboratory, Bristol,UK
2. University of Bristol,Department of Electrical and Electronic Engineering,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10452895/10453116/10453214.pdf?arnumber=10453214
Reference26 articles.
1. Global 5G Connections to Double by 2025;Evans
2. A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System
3. Toward Next Generation Open Radio Access Networks: What O-RAN Can and Cannot Do!
4. Toward Integrating Intelligence and Programmability in Open Radio Access Networks: A Comprehensive Survey
5. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions
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