Unsupervised Learning Algorithm for Intelligent Coverage Planning and Performance Optimization of Multitier Heterogeneous Network

Unsupervised Learning Algorithm for Intelligent Coverage Planning and Performance Optimization of Multitier Heterogeneous Network

The densification of mobile network infrastructure has been widely used to increase the overall capacity and improve user experience. Additional tiers of small cells provide a tremendous increase in the spectrum reuse factor, which allows the allocation of more bandwidth per user equipment (UE). How...

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Bibliographic Details
Main Authors: Juraj Gazda, Eugen Slapak, Gabriel Bugar, Denis Horvath, Taras Maksymyuk, Minho Jo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Coverage planning
heterogeneous network
self-organizing map
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/8392673/

Internet

https://ieeexplore.ieee.org/document/8392673/

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