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.
|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.|
|Number of pages||4|
|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
|Name||Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019|
|Conference||3rd World Conference on Smart Trends in Systems, Security and Sustainability, WorldS4 2019|
|Period||19/7/30 → 19/7/31|
Bibliographical noteFunding 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).
© 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