Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

Haorui Peng; William Tärneberg; Emma Fitzgerald; Maria Kihl

doi:10.23919/SoftCOM50211.2020.9238195

Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

Haorui Peng, William Tärneberg, Emma Fitzgerald, Maria Kihl

Warsaw University of Technology

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

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Abstract

Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds.

Original language	English
Title of host publication	2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	978-953-290-099-6
ISBN (Print)	978-1-7281-7538-6
DOIs	https://doi.org/10.23919/SoftCOM50211.2020.9238195
Publication status	Published - 2020
Event	28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) - Hvar, Croatia Duration: 2020 Sept 17 → 2020 Sept 19

Conference

Conference	28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
Country/Territory	Croatia
City	Hvar
Period	2020/09/17 → 2020/09/19

Subject classification (UKÄ)

Communication Systems

Access to Document

10.23919/SoftCOM50211.2020.9238195

Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

1 Licentiate Thesis

Integration of Clouds to Industrial Communication Networks
Peng, H., 2021 Jan 11, Lund: Lund University. 126 p.
Research output: Thesis › Licentiate Thesis

File

1 Finished
2 Active

Sec4Factory: Cyber Security for Next Generation Factory (SEC4FACTORY)
Gehrmann, C., Kihl, M., Hell, M., Fitzgerald, E., Toorani, M., Fitzgerald, E., Tärneberg, W. & Akbarian, F.
Swedish Foundation for Strategic Research, SSF
2018/04/01 → 2024/12/31
Project: Research
Design, optimisation and control of cloud-integrated autonomous networked systems
Peng, H., Kihl, M., Fitzgerald, E. & Tärneberg, W.
2017/11/13 → 2023/07/01
Project: Dissertation
E! Celtic-Plus 5G PERFECTA
Kihl, M., Fitzgerald, E. & Tärneberg, W.
Swedish Government Agency for Innovation Systems (Vinnova)
2018/08/27 → 2020/12/31
Project: Research

Cite this

@inproceedings{380ece64da104ae4bafaafdfe89af670,

title = "Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0",

abstract = "Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds.",

author = "Haorui Peng and William T{\"a}rneberg and Emma Fitzgerald and Maria Kihl",

year = "2020",

doi = "10.23919/SoftCOM50211.2020.9238195",

language = "English",

isbn = "978-1-7281-7538-6",

booktitle = "2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020) ; Conference date: 17-09-2020 Through 19-09-2020",

}

Peng, H , Tärneberg, W , Fitzgerald, E & Kihl, M 2020, Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0. in 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE - Institute of Electrical and Electronics Engineers Inc., 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 2020/09/17. https://doi.org/10.23919/SoftCOM50211.2020.9238195

Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0. / Peng, Haorui ; Tärneberg, William ; Fitzgerald, Emma et al.

2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE - Institute of Electrical and Electronics Engineers Inc., 2020.

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

TY - GEN

T1 - Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

AU - Peng, Haorui

AU - Tärneberg, William

AU - Fitzgerald, Emma

AU - Kihl, Maria

PY - 2020

Y1 - 2020

N2 - Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds.

AB - Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds.

U2 - 10.23919/SoftCOM50211.2020.9238195

DO - 10.23919/SoftCOM50211.2020.9238195

M3 - Paper in conference proceeding

SN - 978-1-7281-7538-6

BT - 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)

Y2 - 17 September 2020 through 19 September 2020

ER -

Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Fingerprint

Research output

Integration of Clouds to Industrial Communication Networks

Projects

Sec4Factory: Cyber Security for Next Generation Factory (SEC4FACTORY)

Design, optimisation and control of cloud-integrated autonomous networked systems

E! Celtic-Plus 5G PERFECTA

Cite this