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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
METIS.Mobile and wireless communications enablers for the 2020 information society, 30 April 2015
Cao, Z., Zhao, X., Soares, F.M.: 38-GHz millimeter wave beam steered fiber wireless systems for 5G indoor coverage: architectures, devices, and links. IEEE J. Quantum Electron. J. 53(1), 1–9 (2017)
Boccardi, F., Heath, R.W., Lozano, A.: Five disruptive technology directions for 5G. IEEE Commun. Mag. J. 52(2), 74–80 (2014)
Yuan, Y., Zhao, X.: 5G: vision, scenarios and enabling technologies. ZTE Commun. J. 13(1), 69–79 (2015)
Cid, E.L., Taboas, M.P., Sanchez, M.G., Alejos, A.V.: Microcellular radio channel characterization at 60 GHz for 5G communications. IEEE Antennas Wirel. Propag. Lett. J. 99, 1–4 (2017)
Zhao, C., Wu, Z.: Adaptive delay fairness scheduling algorithm in MIMO systems. J. Harbin Inst. Technol. J. 12(41), 243–246 (2009). (in Chinese)
Acknowledgements
This paper is supported by the Guangdong Province higher vocational colleges and schools, the Pearl River scholar funding scheme (2016), a project of the Shenzhen Science and Technology Innovation Committee (JCYJ20170817114522834, JCYJ20160608151239996), Research platform and project of Department of Education of Guangdong Province(2019GGCZX009), the Key laboratory of Longgang District (LGKCZSYS2018000028), the science and technology development center of the Ministry of Education of China (2017A15009) and Engineering Applications of the Artificial Intelligence Technology Laboratory (PT201701).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wu, Z., Guan, M. (2021). Research on Fair Scheduling Algorithm of 5G Intelligent Wireless System Based on Machine Learning. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-66785-6_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-66784-9
Online ISBN: 978-3-030-66785-6
eBook Packages: Computer ScienceComputer Science (R0)