3D Aerial Beamforming via Virtual Layer Attenuation
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently controlling beamforming for 3D aerial wireless transmission, particularly with high-frequency millimeter waves, due to obstacles and varying attenuation levels, leading to signal loss and increased power consumption.
Innovation Solution
A method and system that utilize a 3D aerial view image to identify obstructions, form virtual layers based on attenuation values, and dynamically adjust beamforming to minimize losses by determining a collective attenuation value and forming efficient beams for optimal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beam tracking procedure is performed continuously to obtain optimal beamforming parameters, then beamforming performance is improved, but time consumption, processing load, and power consumption increase
Solution Approach 1:
The system performs preliminary action by pre-identifying obstruction-free windows in the environment before actual beam transmission. The 3D aerial view image analysis and virtual layer formation are conducted in advance to determine optimal transmission paths, so that when beam tracking is needed, the system can quickly select from pre-identified optimal beams rather than scanning the entire spectrum, thereby reducing time consumption while maintaining beamforming performance
2Productivity
If millimeter wave frequencies (30-300 GHz) are used to increase bandwidth and data transmission speed, then data transmission capability is improved, but signal propagation distance is limited and signal degradation increases due to obstacles and atmospheric attenuation
Solution Approach 1:
The system transitions from traditional 2D beamforming to 3D aerial view-based beamforming by introducing vertical dimension analysis. The 3D aerial view image and virtual layers enable the system to identify obstruction-free windows in three-dimensional space, allowing millimeter wave signals to propagate through previously unrecognized aerial paths that avoid ground-level obstacles and reduce atmospheric attenuation, thereby extending propagation distance while maintaining high data transmission speeds
Solution Approach 2:
The system introduces 3D aerial view image analysis and virtual layer formation as intermediary steps between signal transmission and reception. These intermediaries process environmental information to identify optimal transmission paths, acting as a mediator that selects frequencies and beam directions that minimize atmospheric attenuation and obstacle interference, thus improving signal propagation reliability while maintaining high-frequency data transmission capabilities
3Ease of operation
If 2D obstruction-free window is selected for mmWave transmission, then transmission path identification is simplified, but clear transmission area cannot be provided when multiple obstructions with different attenuation levels are present
Solution Approach 1:
The system resolves this contradiction by transitioning from 2D to 3D analysis. The 3D aerial view image adds the vertical dimension to obstruction analysis, enabling the system to identify aerial transmission paths that bypass ground-level obstructions. Virtual layers represent different elevation levels, allowing the system to find clear transmission areas in three-dimensional space even when multiple obstructions with different attenuation levels block traditional 2D paths, thus maintaining both ease of operation and transmission reliability
4Productivity
If massive MIMO antennas are deployed to meet 5G-NR requirements for coverage and capacity, then network capacity is improved, but baseband unit complexity and power consumption increase
Solution Approach 1:
The system applies preliminary action by pre-processing environmental information through 3D aerial view image analysis and virtual layer formation to identify optimal beam directions and obstruction-free windows before actual data transmission. This preliminary processing creates a simplified transmission map that guides massive MIMO antenna operation, reducing the real-time computational burden on baseband units while maintaining high network capacity through optimized beamforming
Data Source
AI summary
A method and system for beamforming in a wireless communication system for intelligent three-dimensional aerial wireless transmission are disclosed. In an embodiment, the method includes: identifying at least one obstruction in at least one three-dimensional aerial view image of a current location of the at least one transmitting antenna; forming at least one set of virtual layers comprising of one or more virtual layers corresponding to the at least one obstruction; determining a collective attenuation value for the at least one set of virtual layers based on an attenuation value of the one or more virtual layers; and forming at least one first beam based on the collective attenuation value.