Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network

Bo Tian, Qi Zhang, Xiangjun Xin, Qinghua Tian, Xiangyu Wu, Ying Tao, Yufei Shen, Guixing Cao, Naijin Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

A recursive neural network based BBU pool resource allocation scheme in C-RAN is proposed. Simulation results indicate the proposed scheme achieves lower power consumption and blocking rate with higher total throughput compared with traditional network.

Original languageEnglish
Title of host publication2018 Asia Communications and Photonics Conference, ACP 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781538661581
DOIs
Publication statusPublished - 28 Dec 2018
Externally publishedYes
Event2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, China
Duration: 26 Oct 201829 Oct 2018

Publication series

NameAsia Communications and Photonics Conference, ACP
Volume2018-October
ISSN (Print)2162-108X

Conference

Conference2018 Asia Communications and Photonics Conference, ACP 2018
Country/TerritoryChina
CityHangzhou
Period26/10/1829/10/18

Keywords

  • 5G fronthaul network
  • C-RAN
  • Recursive neural network
  • Resource allocation

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Cite this

Tian, B., Zhang, Q., Xin, X., Tian, Q., Wu, X., Tao, Y., Shen, Y., Cao, G., & Liu, N. (2018). Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network. In 2018 Asia Communications and Photonics Conference, ACP 2018 Article 8596310 (Asia Communications and Photonics Conference, ACP; Vol. 2018-October). OSA - The Optical Society. https://doi.org/10.1109/ACP.2018.8596310