Clustering based cloud radio access networks for 5G smart systems

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
EditorsXin-She Yang, Nilanjan Dey, Amit Joshi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-104
Number of pages4
ISBN (Electronic)9781728137803
DOIs
Publication statusPublished - 2019 Jul
Event3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019 - London, United Kingdom
Duration: 2019 Jul 302019 Jul 31

Publication series

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

Conference

Conference3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019
CountryUnited Kingdom
CityLondon
Period19/7/3019/7/31

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

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