Transmit BeampattarnOptimization for Automotive MIMO Radar Coexistedwith Communication in V2V Networks

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.