@inproceedings{8aff7ee179cd4f2b99a9500689cfa331,
title = "VANET's: Performance analysis of fixed beamforming techniques for vehicular Environments",
abstract = "Finding the interference signals are a major problem in vehicular Adhoc network. Detecting and elimination of undesired signals are placed an important role in the intelligent transportation system. Interference signals may come from other vehicle nodes or maybe from roadside units, which may cause security issues in VANET environments. Sometimes in VANET, the signal amplitude is constant concerning time from the transmitter or to the receiver of nodes. When the vehicles are not moving the angle of arrival is constant for time. Sometimes in some situations, there may be a possibility for a static interference environment. So, we have designed, implemented, analyzed, and found suitable various fixed beamforming techniques for the elimination of interference signals in the VANET environment.",
keywords = "ML, MMSE, MSIR, MVDR",
author = "{Kumar Reddy}, {K. Suresh} and V. Tamizhazhagan and {Senthil Murugan}, V.",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2021 ; Conference date: 04-03-2021 Through 05-03-2021",
year = "2021",
month = mar,
day = "4",
doi = "10.1109/ICACITE51222.2021.9404743",
language = "British English",
series = "2021 International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "474--481",
booktitle = "2021 International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2021",
address = "United States",
}
