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Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks.

Zheng-Ming Jiang1, Pei-Chang Zhang1, Lei Huang1

  • 1Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics (SZ), Shenzhen University, Shenzhen 518060, China.

Sensors (Basel, Switzerland)
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PubMed
Summary

This study introduces a beamforming spectrum sharing scheme for vehicle-to-vehicle (V2V) communications and autonomous driving. The method enhances automotive radar performance while ensuring communication capacity and power constraints.

Keywords:
block coordinate descentcoexisting radar and communicationspectrum sharingthe ellipsoid sub-gradient methodvehicle-to-vehicle (V2V)

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Wireless Communications

Background:

  • Increasing use of vehicle-to-vehicle (V2V) communications and autonomous driving necessitates managing interference.
  • Automotive radar and communication systems face signal interference challenges.
  • Existing spectrum sharing methods struggle to optimize coexistence.

Purpose of the Study:

  • To propose a transmit beamforming based spectrum sharing scheme.
  • To achieve peaceful coexistence between automotive multiple-input multiple-out (MIMO) radar and communication systems.
  • To maximize the signal-to-interference-plus-noise ratio (SINR) for automotive radar receivers.

Main Methods:

  • Formulated a non-convex optimization problem to maximize radar SINR under communication capacity and power constraints.
  • Introduced a slack variable to convert the problem into a convex form.
  • Employed block coordinate descent (alternating optimization) and ellipsoid sub-gradient methods for efficient solving.

Main Results:

  • The proposed scheme effectively manages interference between automotive radar and communication systems.
  • Optimization successfully balanced radar SINR maximization with communication requirements.
  • Simulation results validated the superiority of the proposed scheme over conventional methods.

Conclusions:

  • The transmit beamforming spectrum sharing scheme offers a viable solution for coexisting automotive radar and communication systems.
  • The applied optimization techniques provide an efficient method for complex resource allocation problems.
  • This approach contributes to the reliable operation of future autonomous driving systems.