Clustering based cloud radio access networks for 5G smart systems

Changsung Lee; Wonsuk Yoo; Younghwan Shin; Jong Moon Chung

doi:10.1109/WorldS4.2019.8904024

Clustering based cloud radio access networks for 5G smart systems

Changsung Lee, Wonsuk Yoo, Younghwan Shin, Jong Moon Chung

Department of Electrical and Electronic Engineering

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

Abstract

In 5G networks, mitigating blockage effects in millimeter-wave (mmWave) signals is a major challenge to overcome. Coordinated multipoint (CoMP) transmission is one of the inference mitigation schemes that can be used in a densified cellular network. CoMP transmission is usually implemented within a cloud radio access network (C-RAN) via fronthaul links which is connected to a control unit (CU). In this paper, a radio unit clustering scheme (RCS) was proposed based on CoMP transmission to mitigate blockage effect of mmWave links. Applying a clustering scheme in C-RAN can increase the network capacity by avoiding data transmission via non-line-of-sight (NLOS) links. Based on stochastic geometry, the coverage probability of the proposed RCS is derived into a closed-form expression by modeling the position of base stations as a Poisson point process. In addition, an enhanced cooperative handover scheme is proposed to increase mobility robustness of the proposed RCS. Simulation results show that the coverage probability is enhanced as the cluster size increases in mmWave C-RANs and a radio link failure (RLF) probability during handover procedure is reduced.

Original language	English
Title of host publication	Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
Editors	Xin-She Yang, Nilanjan Dey, Amit Joshi
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	101-104
Number of pages	4
ISBN (Electronic)	9781728137803
DOIs	https://doi.org/10.1109/WorldS4.2019.8904024
Publication status	Published - 2019 Jul
Event	3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 - London, United Kingdom Duration: 2019 Jul 30 → 2019 Jul 31

Publication series

Name	Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019

Conference

Conference	3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
Country/Territory	United Kingdom
City	London
Period	19/7/30 → 19/7/31

Bibliographical note

Funding Information:
This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) support program (IITP-2018-2018-0-01799) supervised by the Institute for Information & communications Technology Promotion (IITP) and the Institute of BioMed-IT, Energy-IT, and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00282, The Development of Adaptive Network Technology with Multi-Media Multi-Path).

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Information Systems and Management
Renewable Energy, Sustainability and the Environment
Safety, Risk, Reliability and Quality
Education

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WorldS4.2019.8904024

Cite this

Lee, C., Yoo, W., Shin, Y., & Chung, J. M. (2019). Clustering based cloud radio access networks for 5G smart systems. In X-S. Yang, N. Dey, & A. Joshi (Eds.), Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 (pp. 101-104). [8904024] (Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WorldS4.2019.8904024

Lee, Changsung ; Yoo, Wonsuk ; Shin, Younghwan et al. / Clustering based cloud radio access networks for 5G smart systems. Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019. editor / Xin-She Yang ; Nilanjan Dey ; Amit Joshi. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 101-104 (Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019).

@inproceedings{d008a37206a7457eaf4adeabd517cf18,

title = "Clustering based cloud radio access networks for 5G smart systems",

abstract = "In 5G networks, mitigating blockage effects in millimeter-wave (mmWave) signals is a major challenge to overcome. Coordinated multipoint (CoMP) transmission is one of the inference mitigation schemes that can be used in a densified cellular network. CoMP transmission is usually implemented within a cloud radio access network (C-RAN) via fronthaul links which is connected to a control unit (CU). In this paper, a radio unit clustering scheme (RCS) was proposed based on CoMP transmission to mitigate blockage effect of mmWave links. Applying a clustering scheme in C-RAN can increase the network capacity by avoiding data transmission via non-line-of-sight (NLOS) links. Based on stochastic geometry, the coverage probability of the proposed RCS is derived into a closed-form expression by modeling the position of base stations as a Poisson point process. In addition, an enhanced cooperative handover scheme is proposed to increase mobility robustness of the proposed RCS. Simulation results show that the coverage probability is enhanced as the cluster size increases in mmWave C-RANs and a radio link failure (RLF) probability during handover procedure is reduced.",

author = "Changsung Lee and Wonsuk Yoo and Younghwan Shin and Chung, {Jong Moon}",

note = "Funding Information: This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) support program (IITP-2018-2018-0-01799) supervised by the Institute for Information & communications Technology Promotion (IITP) and the Institute of BioMed-IT, Energy-IT, and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00282, The Development of Adaptive Network Technology with Multi-Media Multi-Path). Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 ; Conference date: 30-07-2019 Through 31-07-2019",

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Lee, C, Yoo, W, Shin, Y & Chung, JM 2019, Clustering based cloud radio access networks for 5G smart systems. in X-S Yang, N Dey & A Joshi (eds), Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019., 8904024, Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019, Institute of Electrical and Electronics Engineers Inc., pp. 101-104, 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019, London, United Kingdom, 19/7/30. https://doi.org/10.1109/WorldS4.2019.8904024

Clustering based cloud radio access networks for 5G smart systems. / Lee, Changsung; Yoo, Wonsuk; Shin, Younghwan et al.

Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019. ed. / Xin-She Yang; Nilanjan Dey; Amit Joshi. Institute of Electrical and Electronics Engineers Inc., 2019. p. 101-104 8904024 (Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019).

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

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AU - Lee, Changsung

AU - Yoo, Wonsuk

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AU - Chung, Jong Moon

N1 - Funding Information: This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Information Technology Research Center (ITRC) support program (IITP-2018-2018-0-01799) supervised by the Institute for Information & communications Technology Promotion (IITP) and the Institute of BioMed-IT, Energy-IT, and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University, and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. 2017-0-00282, The Development of Adaptive Network Technology with Multi-Media Multi-Path). Publisher Copyright: © 2019 IEEE.

PY - 2019/7

Y1 - 2019/7

N2 - In 5G networks, mitigating blockage effects in millimeter-wave (mmWave) signals is a major challenge to overcome. Coordinated multipoint (CoMP) transmission is one of the inference mitigation schemes that can be used in a densified cellular network. CoMP transmission is usually implemented within a cloud radio access network (C-RAN) via fronthaul links which is connected to a control unit (CU). In this paper, a radio unit clustering scheme (RCS) was proposed based on CoMP transmission to mitigate blockage effect of mmWave links. Applying a clustering scheme in C-RAN can increase the network capacity by avoiding data transmission via non-line-of-sight (NLOS) links. Based on stochastic geometry, the coverage probability of the proposed RCS is derived into a closed-form expression by modeling the position of base stations as a Poisson point process. In addition, an enhanced cooperative handover scheme is proposed to increase mobility robustness of the proposed RCS. Simulation results show that the coverage probability is enhanced as the cluster size increases in mmWave C-RANs and a radio link failure (RLF) probability during handover procedure is reduced.

AB - In 5G networks, mitigating blockage effects in millimeter-wave (mmWave) signals is a major challenge to overcome. Coordinated multipoint (CoMP) transmission is one of the inference mitigation schemes that can be used in a densified cellular network. CoMP transmission is usually implemented within a cloud radio access network (C-RAN) via fronthaul links which is connected to a control unit (CU). In this paper, a radio unit clustering scheme (RCS) was proposed based on CoMP transmission to mitigate blockage effect of mmWave links. Applying a clustering scheme in C-RAN can increase the network capacity by avoiding data transmission via non-line-of-sight (NLOS) links. Based on stochastic geometry, the coverage probability of the proposed RCS is derived into a closed-form expression by modeling the position of base stations as a Poisson point process. In addition, an enhanced cooperative handover scheme is proposed to increase mobility robustness of the proposed RCS. Simulation results show that the coverage probability is enhanced as the cluster size increases in mmWave C-RANs and a radio link failure (RLF) probability during handover procedure is reduced.

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Lee C, Yoo W, Shin Y, Chung JM. Clustering based cloud radio access networks for 5G smart systems. In Yang X-S, Dey N, Joshi A, editors, Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 101-104. 8904024. (Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019). doi: 10.1109/WorldS4.2019.8904024

Clustering based cloud radio access networks for 5G smart systems

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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