Random forests for resource allocation in 5G cloud radio access networks based on position information

Random forests for resource allocation in 5G cloud radio access networks based on position information

Abstract Next generation 5G cellular networks are envisioned to accommodate an unprecedented massive amount of Internet of things (IoT) and user devices while providing high aggregate multi-user sum rates and low latencies. To this end, cloud radio access networks (CRAN), which operate at short radi...

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Bibliographic Details
Main Authors: Sahar Imtiaz, Georgios P. Koudouridis, Hadi Ghauch, James Gross
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
5G
CRAN
Resource allocation
Machine learning
Random forests
Online Access:http://link.springer.com/article/10.1186/s13638-018-1149-7

Internet

http://link.springer.com/article/10.1186/s13638-018-1149-7

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