Radio Wave Incoming Structure Analysis for 5G Network Design
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Solution Overview
Problem
Current wireless communication systems face challenges in analyzing and modeling high-frequency radio signal propagation, particularly indoors, which affects network configuration and operation, especially in 5G communication systems using mmWave frequencies.
Innovation Solution
A method involving a computing device with a transceiver and controller to identify signal transmission characteristics by analyzing structures and radio wave incoming structures, using techniques like ray tracing and 3D map information to simulate signal propagation and determine optimal transmitter and receiver locations for improved network design and operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high-frequency radio signals (mmWave) are used to increase data rates, then data transmission speed is improved, but signal propagation reliability deteriorates due to increased path loss and reduced transmission distance
Solution Approach 1:
The system performs preliminary ray tracing simulations and communication environment analysis before actual network deployment. By pre-analyzing signal propagation characteristics through 3D building models and identifying optimal base station locations and beamforming parameters, the system prepares mitigation strategies in advance for high-frequency signal transmission, ensuring reliability is maintained from the outset despite the inherent path loss of mmWave signals
Solution Approach 2:
The patent introduces an intermediary analysis system that uses ray tracing simulations and 3D environmental models to mediate between the transmitter and receiver. This intermediary model predicts signal propagation paths, identifies reflective surfaces and obstacles, and determines optimal transmission parameters, thereby bridging the reliability gap created by using high-frequency signals
2Length of stationary object
If beamforming and massive MIMO techniques are deployed to mitigate path loss, then transmission distance is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary ray tracing simulations to pre-determine optimal beamforming parameters, antenna array configurations, and base station locations before deployment. By calculating ideal beam directions and power distribution in advance based on 3D environmental models, the system reduces the complexity of real-time beamforming control while maintaining extended transmission distance
Solution Approach 2:
The patent systematically varies and optimizes key parameters including beamforming weights, antenna element patterns, base station locations, and transmission power levels. By using ray tracing to evaluate different parameter combinations and selecting optimal configurations, the system achieves extended transmission distance without manually managing the complexity of multiple adjustable parameters
3Measurement precision
If detailed 3D building models and ray tracing simulations are used to analyze signal propagation, then measurement precision is improved, but computational complexity and analysis time increase
Solution Approach 1:
The patent segments the computational domain into discrete 3D building models with simplified geometric representations. By dividing the urban environment into individual building blocks with standardized models, the system maintains sufficient precision for propagation analysis while reducing the overall computational complexity compared to modeling every physical surface in detail
Solution Approach 2:
The system performs ray tracing simulations with a controlled number of rays and limits the depth of reflection/refraction calculations to achieve sufficient precision for network planning purposes. By applying partial action (not simulating every possible ray path) while maintaining key propagation characteristics, the system balances measurement precision with acceptable analysis time
Data Source
AI summary
A method for identifying a wireless signal transmission characteristic in a wireless communication system according to one embodiment of the present specification includes the steps for: identifying a signal transmission location; identifying a structure; identifying at least one radio wave incoming structure located on the structure, and identifying a transmission characteristic of a wireless signal transmitted from the signal transmission location on the basis of information on the at least one radio wave incoming structure.