Sensor Fusion Scanning System for 5G Reflectarray Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in deploying 5G millimeter wave wireless networks is the high atmospheric attenuation and interference caused by geographical obstructions and environmental conditions, which limits coverage and signal strength, especially in dense-scattering areas and remote locations with extreme weather.
Innovation Solution
A sensor fusion scanning system that combines camera, lidar, and beam steering radar sensors to create a 3D representation of the environment, allowing for strategic placement and design of reflectarrays to enhance network performance in both Line-of-Sight and Non-Line-of-Sight areas by generating directed beams and determining optimal reflectarray configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If millimeter wave frequencies are used for 5G networks, then high-speed data communication capability is improved, but atmospheric attenuation and signal loss increase
Solution Approach 1:
The patent introduces a third dimension (vertical/elevation angle) for beamforming alongside the traditional horizontal azimuth dimension. This 3D beamforming capability allows signals to be directed through vertical paths that may avoid ground-level obstructions and atmospheric attenuation, enabling high-speed mmWave communication while maintaining signal strength by utilizing spatial diversity in the vertical dimension.
Solution Approach 2:
The patent employs intelligent reflecting surfaces (IRS) and passive reflectarrays as intermediary elements to relay mmWave signals between transmitter and receiver. These intermediaries reflect and redirect signals around obstacles and through favorable propagation paths, reducing atmospheric attenuation and signal loss while maintaining the high data communication speeds enabled by mmWave frequencies.
2Reliability
If large array antennas are deployed to improve signal strength, then coverage and signal quality are improved, but deployment becomes difficult in extreme weather conditions
Solution Approach 1:
The patent divides the large array antenna system into multiple smaller distributed antenna units deployed across different locations. Each unit operates independently with lower power requirements, making them easier to install and maintain in extreme weather. The segmented units work together through coordinated beamforming to achieve the signal quality and coverage of a single large array, while being more resilient to environmental conditions.
Solution Approach 2:
The patent introduces intelligent reflecting surfaces as passive intermediaries that enhance signal strength without requiring active electronic components in harsh environments. These passive reflectarrays can be简单地 deployed on building surfaces or structures, providing signal enhancement through reflection and focusing without the complexity of powered systems, thus improving ease of operation while maintaining reliability.
3Area of stationary object
If strategic placement of reflectarrays is implemented, then coverage in Non-Line-of-Sight areas is improved, but system complexity and planning requirements increase
Solution Approach 1:
The patent performs preliminary 3D site surveys and environmental scanning using mobile platforms with sensors (cameras, LIDAR, radar) to create detailed digital twins of the deployment environment. This preliminary action captures geometric features, reflective surfaces, and propagation characteristics before reflectarray deployment, enabling automated placement optimization algorithms to determine strategic locations without complex manual planning, thus expanding coverage while reducing system planning complexity.
Solution Approach 2:
The patent implements feedback mechanisms where mobile scanning platforms continuously survey the wireless environment and performance metrics after reflectarray deployment. This feedback data on actual signal propagation, coverage quality, and environmental changes is used to automatically adjust and optimize reflectarray placements and configurations, enabling the system to adaptively expand coverage while simplifying ongoing management through data-driven decisions.
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
The solution significantly improves wireless coverage and performance by directing RF signals effectively around obstacles, providing robust and low-cost passive or active relay antennas that enhance signal strength and reach, enabling reliable high-speed data communications in various environments.
Implementation Method 1
a beam steering radar sensor configured to scan the wireless environment and generate radar data
Implementation Method 2
strategically placed reflectarrays designed to achieve higher gain and improve the network performance by reflecting RF signals in the environment
Data Source
AI summary
Examples disclosed herein relate to a sensor fusion scanning system for wireless network planning. The system includes a sensor scanning mobile platform comprising a beam steering radar sensor and one or more auxiliary sensors, the sensor scanning mobile platform configured to scan a wireless environment, a reflectivity engine configured to generate a reflectivity representation of the wireless environment based on radar data from the beam steering radar sensor, a sensor fusion processing engine configured to generate a Three-Dimensional (“3D”) representation of the wireless environment based on the radar data and sensor data from the one or more auxiliary sensors, and a reflectarray planning engine configured to design a plurality of reflectarrays and determine locations for the plurality of reflectarrays in the wireless environment based on the reflectivity representation and the 3D representation.