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Higher energy efficiency in 5G RAN & Classification of network users
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This webinar will introduce 2 problem statements from ZTE for the 2022 ITU AI/ML in 5G Challenge;
- Non-linear Power Amplifier Behavioral Modeling to achieve higher energy efficiency in 5G RAN
- Classification of Home Network Users to Improve User Experience
In the first problem statement, participants are challenged to bring AI algorithms into behavioral modeling of power amplifiers, which is helpful for developing highly efficient 5G wireless communication systems. The talk will dwell on the task, datasets, and evaluation criteria of this problem.
The second problem statement discussed challenges participants to classify each user and accurately distinguish between users with bad experience and users with good experience using ML/DL methods.
