Performance evaluation of adaptive beamforming in 5G-V2X networks |
|
Author: | Maskulainen, Ilmari1; Luoto, Petri1; Pirinen, Pekka1; |
Organizations: |
1Centre for Wireless Communications University of Oulu, Finland P.O. Box 4500, FI-90014 Oulu 2Nokia Kaapelitie 4, P.O. Box 319, FI-90620 Oulu |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.5 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2018070527093 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2017
|
Publish Date: | 2018-07-05 |
Description: |
AbstractVehicles are the third fastest growing connected device type after smart phones and tablets. Also, automotive industry is interested to get more vehicles connected to the internet to improve traffic safety and efficiency. This creates a need for Vehicle-to-Everything (V2X) communications. In this work, the possibility of exploiting beamforming in LTE-V2X is considered. Singular value decomposition (SVD) receiver and precoder is implemented in an LTE-A system level simulator and the performance on multi-lane highway scenario is simulated and analyzed in downlink Vehicle-to-Infrastructure (V2I) scenario. The performance is compared to the conventional maximum-ratio combining (MRC) and LTE codebook precoded minimum mean square error (MMSE) receivers. In addition, the switched-beam beamforming is imitated by modified antenna patterns with 7 and 15 narrow beams. The results show that the SVD receiver provides gain compared to the conventional MRC and MMSE receivers in ideal scenario. Furthermore, with modified antenna patterns, the performance was enhanced when compared to the default antenna pattern. see all
|
ISBN: | 978-1-5386-3873-6 |
ISBN Print: | 978-1-5386-3874-3 |
Pages: | 1 - 5 |
DOI: | 10.1109/EuCNC.2017.7980728 |
OADOI: | https://oadoi.org/10.1109/EuCNC.2017.7980728 |
Host publication: |
2017 European Conference on Networks and Communications (EuCNC), 12-15 June 2017, Oulu, Finland : 5G - European Roadmap, Global Impact |
Conference: |
European Conference on Networks and Communications |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research was supported by the Finnish Funding Agency for Technology and Innovation (TEKES), Nokia, Anite, Huawei Technologies, and Infotech Oulu Graduate School. |
Copyright information: |
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |