mmWave Beam Path Routing via Reflection and Refraction
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Solution Overview
Problem
Existing mm wave transmission technologies face significant signal attenuation and fading due to urban environments with numerous blockages, leading to performance degradation and increased call drops.
Innovation Solution
Determine mm wave transmission paths using reflections and refractions based on physical object data and user device locations within an urban environment, employing an adaptive learning algorithm to enhance beamforming techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mm wave signals are transmitted in urban environments with numerous blockages, then high data rate communication is achieved, but signal attenuation and fading increase significantly
Solution Approach 1:
The patent segments the transmission path by identifying multiple potential paths (direct, reflected, refracted) between base station and user device. The algorithm evaluates each segment independently considering physical object interactions, allowing the system to select or combine optimal segments to maintain high data rates while avoiding deep fades caused by single-path blockages
Solution Approach 2:
The patent introduces physical objects (buildings, vehicles, terrain) as intermediaries that reflect and refract mm wave signals. Instead of treating blockages as purely harmful, the system utilizes these intermediaries to create alternative transmission paths, converting obstructing objects into signal relay surfaces that maintain connection reliability while supporting high data rate communication
2Device complexity
If traditional transmission paths are used without considering physical objects, then system complexity is low, but signal blockage and fading occur frequently
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing transmission path characteristics using ray tracing simulations before actual communication occurs. Physical object data and signal propagation characteristics are pre-processed to create a lookup database, enabling rapid path selection during real-time operation without complex on-the-fly calculations, thus maintaining low system complexity while improving reliability
Solution Approach 2:
The system implements self-service by autonomously selecting optimal transmission paths based on pre-stored environmental data and real-time user device location. The adaptive learning algorithm automatically adjusts path selection without requiring manual configuration or complex real-time processing, reducing system complexity while maintaining high communication reliability through intelligent autonomous decision-making
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces signal attenuation and fading, improving uplink and downlink throughput, and enhancing communication reliability and quality of service by optimizing mm wave signal transmission paths.
Implementation Method 1
determining, using an algorithm (e.g., an adaptive learning algorithm), a mm wave transmission path based on one or more locations of one or more user devices and physical object data of physical objects... The mm wave transmission path can be determined based on one or more mm wave signals reflecting, refracting, or one or more combinations thereof, on one or more of the physical objects
Implementation Method 2
The mm wave transmission path can be determined based on one or more mm wave signals reflecting, refracting, or one or more combinations thereof, on one or more of the physical objects
Data Source
AI summary
The technology disclosed herein relates to enhanced millimeter (mm) wave coverage based on mm wave interactions with physical objects. For example, the technology disclosed herein can receive and store physical object data for physical objects located within a coverage area provided by antenna elements, which are each within a threshold distance of each other. Further, a location of a user device within the coverage area can be identified. An algorithm (e.g., an adaptive learning algorithm) can be used to determine a mm wave transmission path based on the location of the user device and the physical object data. For example, the algorithm can account for reflections and refractions of the mm wave signal with the physical objects. One or more of the plurality of antenna elements can transmit a mm wave signal for the user device to receive based on the determined mm wave transmission path.