Position-Based mmWave Beam Sweeping for Fast V2X Alignment
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Solution Overview
Problem
Existing mmWave communication technologies struggle to perform beam alignment quickly enough in mobile environments due to their design for low mobility settings, making it difficult to implement in vehicles moving at roadway speeds.
Innovation Solution
A computer program product that modifies the operation of a V2X radio in a vehicle to perform mmWave beam alignment based on position data, determining a directional sweeping range to efficiently align with endpoints such as remote vehicles or base stations, reducing unnecessary transmissions and improving alignment efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing mmWave technologies complete beam alignment process, then beam alignment is achieved, but the process takes too long for mobile environments
Solution Approach 1:
The system performs preliminary actions by determining the sweeping direction based on position data before actually executing the beam alignment process. This allows the beam sweeping to start from a pre-calculated optimal direction rather than scanning all directions, significantly reducing the time required for beam alignment in mobile environments
Solution Approach 2:
Instead of performing omnidirectional beam sweeping, the system applies local quality by concentrating the beam sweeping effort only in the direction where the remote device is located. This is achieved by determining a specific sweeping direction based on position data, thereby reducing the search space and alignment time while maintaining reliable connection establishment
2Reliability
If beam sweeping covers all directions to ensure alignment, then alignment reliability is improved, but processing power and energy are wasted
Solution Approach 1:
The system applies local quality by concentrating beam sweeping resources only in the direction where the remote device is located, rather than sweeping all directions. This is achieved by determining a specific sweeping direction based on position data, thereby reducing energy consumption while maintaining reliable alignment
Solution Approach 2:
Instead of performing complete omnidirectional beam sweeping, the system uses partial action by sweeping only in the determined direction based on position data. This partial sweeping approach is sufficient for mobile environments where position information is available, reducing energy consumption while achieving reliable beam alignment
3Reliability
If beam sweeping covers all directions to ensure alignment, then alignment reliability is improved, but processing power is wasted
Solution Approach 1:
The system applies local quality by concentrating beam sweeping processing only in the direction where the remote device is located, rather than processing all directions. This is achieved by determining a specific sweeping direction based on position data, thereby improving processing efficiency while maintaining reliable alignment
Solution Approach 2:
Instead of performing complete omnidirectional beam sweeping, the system uses partial action by sweeping only in the determined direction based on position data. This partial sweeping approach improves processing efficiency by reducing the computational burden while achieving reliable beam alignment in mobile environments
Data Source
AI summary
The disclosure includes embodiments for executing a beam alignment for a millimeter wave (mmWave) communication based on position data. In some embodiments, a method for an ego vehicle includes determining a beam sweeping direction setting for a mmWave beam alignment with an endpoint based on position data that describes a geographic location of the endpoint. The method includes modifying an operation of a Vehicle-to-Everything (V2X) radio of the ego vehicle to perform the mmWave beam alignment with the endpoint based on the beam sweeping direction setting so that an efficiency of the mmWave beam alignment is improved.


