A Data-Driven and Load-Aware Interference Management Approach for Ultra-Dense Networks

A Data-Driven and Load-Aware Interference Management Approach for Ultra-Dense Networks

The ultra-dense network (UDN) has been widely accepted as a promising technology to improve the network performance. However, the severe co-channel interference (CCI) generated due to the densely deployed femtocells greatly limits the network throughput. Different from most conventional methods that...

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Bibliographic Details
Main Authors: Tao Peng, Jiaqi Cao, Xin Liu, Weiguo Dong, Ran Duan, Yannan Yuan, Wenbo Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Ultra-dense network
machine learning
association rules
relative interference intensities
acknowledgement and negative acknowledgement
Online Access:https://ieeexplore.ieee.org/document/8825768/

Internet

https://ieeexplore.ieee.org/document/8825768/

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