Is Cloud RAN a Feasible Option for Industrial Communication Network?
(2021) In Journal of Communications Software and Systems 17(2).- Abstract
- Cloud RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralised and coordinated base-band signal processing in a cloud-based BBU pool. This requires extremely low latency responses to achieve real-time signal processing. In this paper, we analysed the challenges to introduce cloud native model for signal processing in C-RAN. We studied the difficulties of achieving real-time processing in a cloud infrastructure by addressing its latency-constraint. To evaluate the performance of such a system, we mainly investigated a massive MIMO pilot scheduling process in a C-RAN infrastructure under a factory automation scenario. We considered the stochastic delays incurred by the cloud... (More)
- Cloud RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralised and coordinated base-band signal processing in a cloud-based BBU pool. This requires extremely low latency responses to achieve real-time signal processing. In this paper, we analysed the challenges to introduce cloud native model for signal processing in C-RAN. We studied the difficulties of achieving real-time processing in a cloud infrastructure by addressing its latency-constraint. To evaluate the performance of such a system, we mainly investigated a massive MIMO pilot scheduling process in a C-RAN infrastructure under a factory automation scenario. We considered the stochastic delays incurred by the cloud execution environment as the main constraint that has has impact on the scheduling performance. 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 under this constraint. Our experiment results show that, concerning a pilot scheduling problem, the CRAN system is capable of meeting the industrial criteria when the fronthaul and the cloud execution environment has introduced latency in the order of milliseconds.
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Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/026b486d-4efd-4d10-ac87-6a81f63f1e64
- author
- Peng, Haorui
LU
; Tärneberg, William LU ; Fitzgerald, Emma LU
and Kihl, Maria LU
- organization
-
- Broadband Communication (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Department of Electrical and Information Technology
- Networks and Security (research group)
- Information and Communications Engineering (M.Sc.Eng.)
- Computer Science and Engineering (M.Sc.Eng.)
- publishing date
- 2021-04-30
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cloud RAN, Massive MIMO, Latency Constraint fronthaul, MAC scheduling, Industry 4.0
- in
- Journal of Communications Software and Systems
- volume
- 17
- issue
- 2
- publisher
- Croatian Communications and Information Society (CCIS)
- external identifiers
-
- scopus:85106371763
- ISSN
- 1845-6421
- DOI
- 10.24138/jcomss-2021-0017
- project
- Design, optimisation and control of cloud-integrated autonomous networked systems
- Nordic University Hub on Internet of Things
- WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
- Cyber Security for Next Generation Factory (SEC4FACTORY)
- E! Celtic-Plus 5G PERFECTA
- language
- English
- LU publication?
- yes
- id
- 026b486d-4efd-4d10-ac87-6a81f63f1e64
- date added to LUP
- 2021-04-30 10:47:41
- date last changed
- 2023-04-02 07:01:00
@article{026b486d-4efd-4d10-ac87-6a81f63f1e64, abstract = {{Cloud RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralised and coordinated base-band signal processing in a cloud-based BBU pool. This requires extremely low latency responses to achieve real-time signal processing. In this paper, we analysed the challenges to introduce cloud native model for signal processing in C-RAN. We studied the difficulties of achieving real-time processing in a cloud infrastructure by addressing its latency-constraint. To evaluate the performance of such a system, we mainly investigated a massive MIMO pilot scheduling process in a C-RAN infrastructure under a factory automation scenario. We considered the stochastic delays incurred by the cloud execution environment as the main constraint that has has impact on the scheduling performance. 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 under this constraint. Our experiment results show that, concerning a pilot scheduling problem, the CRAN system is capable of meeting the industrial criteria when the fronthaul and the cloud execution environment has introduced latency in the order of milliseconds.<br/>}}, author = {{Peng, Haorui and Tärneberg, William and Fitzgerald, Emma and Kihl, Maria}}, issn = {{1845-6421}}, keywords = {{Cloud RAN, Massive MIMO, Latency Constraint fronthaul, MAC scheduling, Industry 4.0}}, language = {{eng}}, month = {{04}}, number = {{2}}, publisher = {{Croatian Communications and Information Society (CCIS)}}, series = {{Journal of Communications Software and Systems}}, title = {{Is Cloud RAN a Feasible Option for Industrial Communication Network?}}, url = {{http://dx.doi.org/10.24138/jcomss-2021-0017}}, doi = {{10.24138/jcomss-2021-0017}}, volume = {{17}}, year = {{2021}}, }