Grant Prediction-based Dynamic Power Management for 5G to Reduce Mobile Device Energy Consumption

Author:

Brand Peter1,Hackenberg Benjamin1,Falk Joachim1,Teich Jurgen1

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg,Germany

Publisher

IEEE

Reference20 articles.

1. Study on user equipment (UE) power saving in NR;3rd Generation Partnership Project (3GPP) 650 Route des Lucioles - Sophia Antipolis Technical Report V16 0 0,2019

2. DRX‐based energy‐efficient supervised machine learning algorithm for mobile communication networks

3. Adaptive Predictive Power Management for Mobile LTE Devices

4. 5G; NR; Physical channels and modulation;3rd Generation Partnership Project (3GPP) Technical Specification (TS) 38 211 07 2018 version 15 2 0 [Online],0

5. 5G;Study on Scenarios and Requirements for Next Generation Access Technologies;Technical Specification (TS) 38 913 3rd Generation Partnership Project (3GPP) 05 2017 Version 14 2 0,0

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1. The Two Faces of AI in Green Mobile Computing: A Literature Review;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

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