Ali, Wael and Wang, Junyuan and Zhu, Huiling and Wang, Jiangzhou (2018) An Expedited Predictive Distributed Antenna System Based Handover Scheme for High-Speed Railway. In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE. ISBN 978-1-5090-5020-8. E-ISBN 978-1-5090-5019-2. (doi:10.1109/GLOCOM.2017.8254579) (KAR id:63332)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/2MB) |
![]() |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: http://dx.doi.org/10.1109/GLOCOM.2017.8254579 |
Abstract
High-speed train has drawn considerable attention and become one of the most preferable conveyance mechanism. Each year the manufacture corporations reach a higher speed record which is expected to attain 1000 km/h by 2021 using hyperloop one technology. Moving at such a high speed results in a high handover (HO) rate which makes it challenging for high speed railway (HSR) mobile wireless communication to preserve steady link performance. Employing distributed antenna systems (DASs) along with the two-hop architecture, this paper proposes a fast predictive HO algorithm. In this strategy, the serving cell starts the HO preparation phase in advance by inferring the train current location. Issuing the HO preparation phase in advance reduces the HO latency and reduces the HO command failure probability as well. Lower HO command failure probability means lower HO failure probability which could greatly improve the end-users quality of services (QoS). The analytical results show that the proposed scheme performs better compared with the conventional HO scheme.
Item Type: | Book section |
---|---|
DOI/Identification number: | 10.1109/GLOCOM.2017.8254579 |
Uncontrolled keywords: | Mobile Relay, Distributed Antenna System, Handover, Frequency Switch, High-speed Railway |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Jiangzhou Wang |
Date Deposited: | 08 Sep 2017 14:35 UTC |
Last Modified: | 09 Dec 2022 07:28 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/63332 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):