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Attractor selection based limited feedback hybrid precoding for uplink V2I communications.

Junliang Ye1, Hamid Gharavi1

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This study introduces a novel attractor selection algorithm (ASA) for faster beam training in vehicle-to-infrastructure (V2I) communications. The biologically inspired method enhances stability and reduces training time for high-speed connected vehicles.

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Area of Science:

  • Wireless Communications
  • Vehicular Networks
  • Signal Processing

Background:

  • Vehicle-to-Infrastructure (V2I) communication is crucial for advanced applications like automated driving.
  • Millimeter wave and massive MIMO technologies are essential for high data rates in V2I, but increase complexity in beamforming and channel estimation, especially under high mobility.
  • Existing beamforming methods struggle with fast-changing transmission environments common in V2I scenarios.

Purpose of the Study:

  • To develop a robust and efficient uplink beamforming method for V2I communications.
  • To address the challenges of complexity and environmental variability in high-mobility V2I networks.
  • To reduce beam training time and enhance transmission link stability.

Main Methods:

  • Utilized a biologically inspired self-adaptive algorithm, the attractor selection algorithm (ASA).
  • Implemented ASA for uplink beamforming in V2I scenarios.
  • Required minimal feedback information from Road Side Infrastructure (RSI) for fast beam training.

Main Results:

  • The proposed ASA-assisted algorithm significantly reduces the time required for beam training.
  • Demonstrated improved stability of the transmission link due to faster beam training.
  • Simulation results confirm the effectiveness of ASA in high-mobility V2I conditions.

Conclusions:

  • The attractor selection algorithm (ASA) offers a promising solution for efficient beam training in V2I networks.
  • ASA's ability to perform fast beam training with limited feedback is critical for high-speed V2I communications.
  • This approach enhances the robustness and stability of V2I links under dynamic mobility conditions.