Dynamic RRH Clustering using Affinity Propagation Algorithm in Ultra-Dense C-RAN

Seju Park, Han Shin Jo, Cheol Mun, Jong Gwan Yook

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Joint transmission across the cluster of radio remote heads (RRHs) by exploiting the centralized processing of the cloud-radio access network (C-RAN) is a promising technique to overcome the severe interference problems in ultra-dense small cell networks. In practical considerations, local clustering of networks is preferred over global clustering as the number of RRHs that can be jointly transmitted on the network is finite. In this study, we attempt to revisit the principles of the well-known affinity propagation (AP) clustering algorithms, especially for the naive method of determining the exemplar with a fixed threshold. To further explain the decision method, we propose a method to easily determine the threshold using the network map of converged value of messages generated by AP algorithm, by combining Otsu's threshold and density peak searching method with the existing AP clustering algorithm. The proposed algorithm provides higher spectral efficiency than the conventional AP algorithms as well as statically coordinated multi-point (CoMP) techniques, although it has similar execution time as the traditional AP algorithms.

Original languageEnglish
Title of host publication2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194844
DOIs
Publication statusPublished - 2020 Nov
Event92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada
Duration: 2020 Nov 18 → …

Publication series

NameIEEE Vehicular Technology Conference
Volume2020-November
ISSN (Print)1550-2252

Conference

Conference92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Country/TerritoryCanada
CityVirtual, Victoria
Period20/11/18 → …

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported in part by the Technology Advancement Research Program funded by the Ministry of Land, Infrastructure, and Transport of Korean government under Grant 20CTAP-C151968-02, in part by the National Research Foundation of Korea (NRF) funded by the Korean government(MSIT) under Grant 2019R1A2C4070361, in part by the National Research Foundation of Korea (NRF) funded by the Korean government(MSIT) under Grant 2018R1D1A3B07050327.

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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