Reinforcement learning for communication load balancing: approaches and challenges
The amount of cellular communication network traffic has increased dramatically in recent years, and this increase has led to a demand for enhanced network performance. Communication load balancing aims to balance the load across available network resources and thus improve the quality of service fo...
Main Authors: | Di Wu, Jimmy Li, Amal Ferini, Yi Tian Xu, Michael Jenkin, Seowoo Jang, Xue Liu, Gregory Dudek |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-05-01
|
Series: | Frontiers in Computer Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fcomp.2023.1156064/full |
Similar Items
-
Reinforcement Learning Based Load Balancing for Hybrid LiFi WiFi Networks
by: Rizwana Ahmad, et al.
Published: (2020-01-01) -
Radio-over-fiber (RoF) for wireless internet access /
by: Mohd. Saifullah Dzulkefly, 1987-, et al.
Published: (2011) -
Radio-over-fiber (RoF) for wireless internet access [electronic resource] /
by: 540152 Mohd Saifullah Dzulkefly, et al.
Published: (2011) -
Most-Correlated Distribution-Based Load Balancing Scheme in Hybrid LiFi/WiGig Network
by: Mohammed Farrag, et al.
Published: (2023-01-01) -
Using Software-Defined Networking for Data Traffic Control in Smart Cities with WiFi Coverage
by: Basima Kurungadan, et al.
Published: (2022-10-01)