AI Beamforming Antennas for 5G Coverage Without Extra Towers
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Solution Overview
Problem
5G cellular networks face challenges in achieving optimal coverage and throughput due to the need for numerous towers, especially in high-traffic areas, and the requirement for direct line of sight, which can result in visual obstructions and increased infrastructure visibility, while existing antenna technologies struggle with channel estimation and interference.
Innovation Solution
The use of liquid lens or steerable actuated antennas that adjust curvature and directionality under processor control to optimize RF links, employing Fresnel lenses and machine learning algorithms to enhance signal strength and coverage, and integrating these into urban infrastructure like street lights and cell towers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fixed antennas are used, then infrastructure is stable and easy to deploy, but coverage and signal strength are limited due to inability to adjust to different targets
Solution Approach 1:
The patent implements steerable antennas with movable surfaces that can dynamically change orientation and directionality to track user equipment. The antenna system transitions from fixed to movable configuration, enabling real-time adjustment of beam direction to maintain optimal signal strength while communicating with moving devices.
Solution Approach 2:
The patent replaces mechanical antenna steering mechanisms with liquid lens elements that use fluid pressure control to change lens curvature and focus. This substitution eliminates complex mechanical moving parts while achieving the same effect of directional signal adjustment through controllable optical focusing.
2Reliability
If numerous 5G towers are deployed to achieve optimal coverage, then coverage gaps are reduced, but visual obstructions and infrastructure visibility increase
Solution Approach 1:
The patent combines 5G antenna systems with existing urban infrastructure such as street lights, traffic signals, and building facades. By integrating antennas into these existing structures, the system achieves wide coverage without adding visible tower infrastructure, as the antennas blend into or replace existing elements.
Solution Approach 2:
The patent creates multi-functional infrastructure elements that serve both traditional purposes (e.g., street lighting) and 5G communication functions. These universal structures eliminate the need for separate dedicated tower infrastructure, reducing visual impact while maintaining coverage.
3Speed
If direct line of sight is required for 5G small cells, then transmission speed is maximized, but coverage is limited by physical obstructions
Solution Approach 1:
The patent employs three-dimensional beamforming and spatial multiplexing techniques that allow signals to propagate through multiple spatial dimensions and paths. By utilizing vertical and horizontal beam steering capabilities, the system can route signals around or through obstructions rather than being limited to direct horizontal line-of-sight paths.
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
This approach enables more efficient and flexible antenna deployment, improving 5G transmission speeds and coverage by dynamically adjusting antenna orientation and directionality, reducing visual impact and enhancing network performance in densely populated areas.
Implementation Method 1
a liquid lens with moveable surface, wherein liquid is added or removed to adjust the curvature of the movable surface
Implementation Method 2
Fresnel lens can be used to improve SNR
Data Source
AI summary
Systems and methods are disclosed for operating a 5G communication system by receiving, at a neural network or the GPU, data associated with an area served by the 5G communication system; processing, by the neural network or the GPU, the data to determine optimized beamforming parameters for a plurality of 5G antennas; providing the optimized beamforming parameters from the neural network or the GPU to a digital beamformer coupled to the plurality of 5G antennas; and adjusting, by the digital beamformer, the beamforming coefficients applied to the plurality of 5G antennas based on the optimized beamforming parameters.