Joint clusterization and power allocation for cloud radio access networks

Yao Chun Tsou, Pei Rong Li, Jui Hung Chu, Kai-Ten Feng

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

1 Scopus citations

Abstract

In this paper, the cloud radio access network (CRAN) is considered to extend the transmission coverage via the distributed deployment of large-scale remote radio units (RRUs). However, this type of structure can induce considerable computational loadings due to the centralized management mechanisms. To reduce the complexity incurred in the C-RAN architecture, the clusterization technique is designed to categorize those RRUs into several groups. For the purpose of enhancing energy efficiency (EE) as well as the consideration of computational complexity, the joint clusterization and power allocation schemes are proposed to obtain the better tradeoff under the quality-of-service (QoS) requirement for each user equipment (UE). Simulation results show that the proposed algorithms can provide better performance gain than the existing method.

Original languageEnglish
Title of host publication2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980918
DOIs
StatePublished - 25 Jan 2016
Event82nd IEEE Vehicular Technology Conference, VTC Fall 2015 - Boston, United States
Duration: 6 Sep 20159 Sep 2015

Publication series

Name2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings

Conference

Conference82nd IEEE Vehicular Technology Conference, VTC Fall 2015
CountryUnited States
CityBoston
Period6/09/159/09/15

Keywords

  • Cloud radio access networks (C-RAN)
  • Clusterization
  • Energy efficiency (EE)
  • Power allocation

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