In:
Journal of Physics: Conference Series, IOP Publishing, Vol. 1939, No. 1 ( 2021-05-01), p. 012106-
Abstract:
During the operation of mobile networked intelligent vehicles, beamforming training is often needed, which will lead to a significant increase in training time and adverse impact on system performance. This paper analyses this problem in detail, and establishes a new beamforming algorithm, that is, to predict the position and state information of the vehicle in the process of movement, and then beamforming based on the results obtained; the predicted vehicle position results have errors, so we need to reduce the position error as much as possible, calculate the optimal beamforming width, and significantly improve the system performance. The simulation results show that the performance of the beamforming algorithm proposed in this paper is significantly improved compared with IEEE 802.11ad, which can meet the requirements of practical application.
Type of Medium:
Online Resource
ISSN:
1742-6588
,
1742-6596
DOI:
10.1088/1742-6596/1939/1/012106
Language:
Unknown
Publisher:
IOP Publishing
Publication Date:
2021
detail.hit.zdb_id:
2166409-2
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