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- Title
mmWave Beam Tracking for V2I Communication Systems Based on Spectrum Environment Awareness.
- Authors
Zhang, Lulu; Zhong, Weizhi; Zhang, Junjie; Lin, Zhipeng; Yang, Zhuoming; Wang, Junzhi
- Abstract
Real-time matching of millimeter wave (mmWave) narrow beams is a great challenge in dynamic vehicle to infrastructure (V2I) environments due to the mobility of vehicles. In this paper, a novel beam search strategy based on spectrum-environment awareness is proposed. Combining the technique of label iterative optimization with three-dimensional (3D) grid encoding, the strategy treats the optimal beam pair indexes (BPIs) as labels and encodes the environments as features. Three-dimensional grid encoding is a symmetry-based environmental coding technology. A new Convolutional Neural Network (CNN) model is also constructed, which is trained by the features. The situational beam search of actual vehicles is performed under the trained CNN model. As a result, real-time mmWave narrow beam matching can be achieved. Simulation results demonstrate that the proposed strategy can effectively reduce the beam search overhead and improve the efficiency while guaranteeing the matching accuracy.
- Subjects
TELECOMMUNICATION systems; CONVOLUTIONAL neural networks; MILLIMETER waves; INTELLIGENT transportation systems; VIDEO coding; AWARENESS; GREEN technology
- Publication
Symmetry (20738994), 2022, Vol 14, Issue 4, pN.PAG
- ISSN
2073-8994
- Publication type
Article
- DOI
10.3390/sym14040677