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Distributed antenna system based frequency switch scheme evaluation for high-speed railways

Ali, Wael, Wang, Junyuan, Zhu, Huiling, Wang, Jiangzhou (2017) Distributed antenna system based frequency switch scheme evaluation for high-speed railways. In: 2017 IEEE International Conference on Communications (ICC). 2017 IEEE International Conference on Communications (ICC). . pp. 1-6. Institute of Electrical and Electronics Engineers (IEEE) ISBN 978-1-4673-8999-0. (doi:10.1109/ICC.2017.7996443) (KAR id:63532)

Abstract

High-speed railway (HSR) has witnessed a huge growth globally, and now is reaching a maximum speed of 575 km/h. This record of speed makes mobile communications difficult for HSR since the handover (HO) frequency increases which results in a high loss of connectivity. Based on distributed antenna systems (DASs), this paper utilizes the two-hop network architecture for HSR broadband wireless communication systems. With the target of achieving high system capacity, superior transmission reliability, and consequently high-quality broadband wireless communication service for passengers in HSR. Moreover, a Frequency Switch (FSW) scheme is proposed for the two-hop network architecture to alleviate the frequent HO issue in traditional HSR wireless communication systems where HO generally happens between the successive remote antenna units (RAUs) connecting to the same central unit (CU) control. The FSW scheme provides mobility robustness signalling process that guarantees a successful frequency switching instead of HO, and reduces the probability of radio link failure (RLF) compared to HO process in traditional HSR systems, where the HO failure (HOF) rate is about 21%. The analytical results show that the proposed scheme outperforms traditional HO schemes.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICC.2017.7996443
Uncontrolled keywords: Mobile Relay, Distributed Antenna System, Handover, Frequency Switch, High-speed Railway, Moving Frequency Concept
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 22 Sep 2017 13:29 UTC
Last Modified: 09 Dec 2022 00:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63532 (The current URI for this page, for reference purposes)

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