Zheng, Xiao, Cheng, Wenchi, Wang, Jiangzhou (2022) Position-Aided On/Off States Judgment for 1-Bit RIS Assisted V2V MmWave Communication. In: 2022 IEEE Global Communications Conference (GLOBECOM): Proceedings. . IEEE ISBN 978-1-6654-3540-6. (doi:10.1109/globecom48099.2022.10000740) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:99607)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL: https://doi.org/10.1109/globecom48099.2022.1000074... |
Abstract
The reconfigurable intelligent surface (RIS), com-posed of nearly-passive elements to induce reconfigurable re-flecting replicas of signal, is regarded as one of the promising approaches to support multi-gigabit data about the surrounding environment and recognizing objects in real-time. This makes RIS a potential technology in the autonomous vehicle application. However, the application of RIS and the mobility of vehicles substantially increase the training overhead of channel estimation, without which the RIS cannot optimally operate passive beamforming. To overcome the aforementioned problems, in this paper we aim to leverage the Fresnel zone characteristic and the position information of vehicles to design a position-aided on/off states judgment (POSJ) scheme for practical 1-blt RIS. The proposed scheme does not require instantaneous channel state information at the transmitter (CSIT) and is based on the superposition of the reflected signals from different Fresnel zone boundaries. Simulation results indicate that our developed scheme performs well with the increase in positioning accuracy, thus enabling the practical application of RIS.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/globecom48099.2022.10000740 |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 03 Feb 2023 15:54 UTC |
Last Modified: | 05 Nov 2024 13:05 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/99607 (The current URI for this page, for reference purposes) |
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