Research Article
Research on Fair Scheduling Algorithm of 5G Intelligent Wireless System Based on Machine Learning
3 downloads
@INPROCEEDINGS{10.1007/978-3-030-66785-6_6, author={Zhou Wu and Mingxiang Guan}, title={Research on Fair Scheduling Algorithm of 5G Intelligent Wireless System Based on Machine Learning}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Intelligent wireless system Machine learning Artificial intelligent Fair scheduling}, doi={10.1007/978-3-030-66785-6_6} }- Zhou Wu
Mingxiang Guan
Year: 2021
Research on Fair Scheduling Algorithm of 5G Intelligent Wireless System Based on Machine Learning
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_6
Abstract
In the multi-user scenario of 5G intelligent wireless system, the users can’t get the fair transmission opportunity because of the different service packet length, transmission delay and channel environment of each user equipment. This paper proposes an two-stage k-means machine learning algorithm, which can select the user equipment intelligently among different user’s equipment to schedule, while guaranteeing the quality of service of each user’s equipment, it can also take into account fairness.
Copyright © 2020–2025 ICST
