Indoor Optical Wireless Channel Modeling for 6G
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Solution Overview
Problem
Current optical wireless communication channel models are limited, as they primarily focus on single frequency bands and outdoor scenarios, lacking a general model that supports all optical bands and indoor environments.
Innovation Solution
A general geometry-based stochastic channel modeling method is proposed for indoor optical wireless communications, integrating common and unique propagation characteristics of infrared, visible, and ultraviolet light to create a three-dimensional model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing optical wireless communication channel models focus on single frequency bands or outdoor scenarios, then the model accuracy for specific scenarios is improved, but the general applicability across all optical bands and indoor environments deteriorates
Solution Approach 1:
The patent develops a general geometry-based stochastic channel model that can universally describe indoor optical wireless communication channels across multiple optical frequency bands (infrared, visible, ultraviolet). The model integrates common propagation characteristics shared by all optical bands with unique band-specific characteristics, enabling a single model framework to serve multiple frequency bands and indoor scenarios without requiring separate specialized models for each case.
Solution Approach 2:
The patent incorporates wavelength-dependent parameters and band-specific propagation characteristics into the general model framework. Different optical frequency bands are modeled with their unique properties (e.g., infrared penetration through obstacles, visible light directionality, ultraviolet scattering) while maintaining the overall stochastic geometry structure. This allows the model to adapt local quality characteristics to specific bands while preserving general applicability.
2Measurement precision
If deterministic channel models (recursive, Zemax ray tracing, single scattering theory) are used to achieve high accuracy, then the measurement precision is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The patent replaces complex deterministic ray-tracing calculations with a stochastic geometry-based approach. Instead of performing detailed geometric optics calculations for each ray path (mechanical/deterministic system), the model uses statistical distributions to characterize the channel properties directly, substituting complex mechanical computations with simpler statistical modeling that achieves comparable or superior accuracy.
Solution Approach 2:
The patent transforms the channel modeling approach by changing from deterministic parameters (exact ray paths, specific reflection points) to stochastic parameters (probability distributions, statistical moments, random variables). This parameter transformation simplifies the computational complexity while maintaining accuracy, as the stochastic model captures essential channel characteristics through statistical properties rather than exhaustive geometric calculations.
3Ease of operation
If non-geometric stochastic channel models are used, then the ease of operation is improved, but the measurement precision and accuracy for indoor optical wireless scenarios deteriorates
Solution Approach 1:
The patent segments the channel model into distinct geometric components (transmitter, receiver, scatterers, reflectors) with well-defined spatial relationships. By breaking down the complex indoor optical channel into these fundamental geometric elements, the model maintains ease of operation through clear geometric parameters while achieving high precision through accurate representation of optical propagation physics within each segment.
Solution Approach 2:
The patent transitions from two-dimensional or simplified channel models to a full three-dimensional geometric stochastic model. By adding the spatial dimension and modeling scatterers and reflectors in 3D space with proper geometric relationships, the model achieves both ease of operation through standardized geometric primitives and high precision through accurate three-dimensional optical propagation modeling.
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 method provides a comprehensive framework for designing and evaluating 6G optical wireless communication systems, enabling flexible application across various optical bands and indoor scenarios.
Implementation Method 1
The optical wireless band includes infrared light, visible light and ultraviolet light... propagation characteristics such as no small-scale fading, negligible Doppler, great impact of the directionality of the transmitter (Tx) and receiver (Rx), susceptibility to obstruction, atmospheric absorption and wavelength dependence of scattering, diffuse reflection and reflection coefficients
Implementation Method 2
wavelength dependence of scattering, diffuse reflection
Implementation Method 3
atmospheric absorption
Data Source
AI summary
The present application discloses an indoor optical wireless communications-oriented general geometry-based stochastic channel modeling method, which belongs to the field of wireless communication channel modeling. The method includes: setting scenario layout and frequency band related parameters; generating an object reflection cluster birth-death process matrix and random numbers for controlling a blocking effect and propagation component classification; initializing a scattering cluster and intra-cluster scatterers; updating and calculating model parameters varying with space and time; calculating a light source radiation intensity, the power distributions of object reflection and particle scattering, and an equivalent reflection coefficient; and calculating a subchannel impulse response, and determining whether a propagation component exists, to generate a final channel impulse response. The general geometry-based stochastic channel modeling method for indoor optical wireless communications of the present invention can utilize the common characteristics of the wireless frequency bands of light and the unique characteristics of the frequency bands of infrared light, visible light and ultraviolet light. By setting corresponding parameters, the established model can support different frequency bands to be flexibly applied to the simulation and performance evaluation of 6G indoor optical wireless communication systems.
