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

doi:10.1109/ACP.2018.8596310

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 proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	2018 Asia Communications and Photonics Conference, ACP 2018
Publisher	OSA - The Optical Society
ISBN (Electronic)	9781538661581
DOIs	https://doi.org/10.1109/ACP.2018.8596310
Publication status	Published - 28 Dec 2018
Externally published	Yes
Event	2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, China Duration: 26 Oct 2018 → 29 Oct 2018

Publication series

Name	Asia Communications and Photonics Conference, ACP
Volume	2018-October
ISSN (Print)	2162-108X

Conference

Conference	2018 Asia Communications and Photonics Conference, ACP 2018
Country/Territory	China
City	Hangzhou
Period	26/10/18 → 29/10/18

Keywords

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

Access to Document

10.1109/ACP.2018.8596310

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

@inproceedings{0df10643120640168c5481f9dbd46016,

title = "Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network",

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.",

keywords = "5G fronthaul network, C-RAN, Recursive neural network, Resource allocation",

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

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Asia Communications and Photonics Conference, ACP 2018 ; Conference date: 26-10-2018 Through 29-10-2018",

year = "2018",

month = dec,

day = "28",

doi = "10.1109/ACP.2018.8596310",

language = "English",

series = "Asia Communications and Photonics Conference, ACP",

publisher = "OSA - The Optical Society",

booktitle = "2018 Asia Communications and Photonics Conference, ACP 2018",

}

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., 8596310, Asia Communications and Photonics Conference, ACP, vol. 2018-October, OSA - The Optical Society, 2018 Asia Communications and Photonics Conference, ACP 2018, Hangzhou, China, 26/10/18. https://doi.org/10.1109/ACP.2018.8596310

Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network. / Tian, Bo; Zhang, Qi; Xin, Xiangjun et al.
2018 Asia Communications and Photonics Conference, ACP 2018. OSA - The Optical Society, 2018. 8596310 (Asia Communications and Photonics Conference, ACP; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Recursive Neural Network Based RRH to BBU Resource Allocation in 5G Fronthaul Network

AU - Tian, Bo

AU - Zhang, Qi

AU - Xin, Xiangjun

AU - Tian, Qinghua

AU - Wu, Xiangyu

AU - Tao, Ying

AU - Shen, Yufei

AU - Cao, Guixing

AU - Liu, Naijin

PY - 2018/12/28

Y1 - 2018/12/28

N2 - 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.

AB - 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.

KW - 5G fronthaul network

KW - C-RAN

KW - Recursive neural network

KW - Resource allocation

UR - https://www.scopus.com/pages/publications/85061430369

U2 - 10.1109/ACP.2018.8596310

DO - 10.1109/ACP.2018.8596310

M3 - Conference contribution

AN - SCOPUS:85061430369

T3 - Asia Communications and Photonics Conference, ACP

BT - 2018 Asia Communications and Photonics Conference, ACP 2018

PB - OSA - The Optical Society

T2 - 2018 Asia Communications and Photonics Conference, ACP 2018

Y2 - 26 October 2018 through 29 October 2018

ER -

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

Abstract

Publication series

Conference

Keywords

Access to Document

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