RRH Clustering Using Affinity Propagation Algorithm with Adaptive Thresholding and Greedy Merging in Cloud Radio Access Network

RRH Clustering Using Affinity Propagation Algorithm with Adaptive Thresholding and Greedy Merging in Cloud Radio Access Network

Affinity propagation (AP) clustering with low complexity and high performance is suitable for radio remote head (RRH) clustering for real-time joint transmission in the cloud radio access network. The existing AP algorithms for joint transmission have the limitation of high computational complexitie...

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Bibliographic Details
Main Authors: Seju Park, Han-Shin Jo, Cheol Mun, Jong-Gwan Yook
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
machine learning
clustering
affinity propagation
C-RAN
exterior interference
Online Access:https://www.mdpi.com/1424-8220/21/2/480

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