Heterogeneous Point Cloud Reporting for Multi-Sensor Cellular Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, lack efficient methods for heterogeneous point cloud reporting that integrate both cellular and non-cellular sensing capabilities, limiting the comprehensive perception and reporting of surrounding environments.
Innovation Solution
A network entity transmits an indication of its point cloud reporting capabilities, including both cellular and non-cellular sensing, to another network entity, enabling the generation and transmission of heterogeneous point clouds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If heterogeneous point cloud reporting is implemented to integrate cellular and non-cellular sensing, then environmental perception capability is improved, but system complexity increases
Solution Approach 1:
The patent segments point cloud reporting into separate cellular and non-cellular components, allowing independent processing and reporting of each sensing type. This enables the system to handle heterogeneous sensing data without overwhelming complexity by treating different sensing modalities as distinct reportable entities with separate configurations.
Solution Approach 2:
The patent creates a universal point cloud reporting framework that can handle both cellular and non-cellular sensing through a common interface and configuration mechanism. The same reporting infrastructure serves multiple sensing types, reducing overall system complexity while maintaining versatility in environmental perception.
2Measurement precision
If multiple sensing modalities are integrated for comprehensive point cloud generation, then reporting accuracy is improved, but information processing overhead increases
Solution Approach 1:
The patent enables selective reporting where the network can configure which sensing modalities (cellular, non-cellular, or both) are reported based on specific requirements. This partial action approach allows the system to achieve necessary accuracy for each use case without always processing all available sensing data, reducing information processing overhead while maintaining reporting accuracy when needed.
Data Source
AI summary
A first network entity may transmit, for a second network entity, an indication of point cloud reporting capabilities of the first network entity. The point cloud reporting capabilities of the first network entity may include a capability associated with heterogeneous point cloud reporting. The point cloud reporting capabilities of the first network entity may correspond to one or more of at least one reportable property, a point cloud source, or a frequency of point cloud generation. The point cloud source may correspond to at least one of a cellular transceiver, an FMCW radar, a Wi-Fi transceiver, or a lidar device. The first network entity may identify a first point cloud based on non-cellular sensing. The first network entity may transmit, for the second network entity, a first indication of the first point cloud based on the point cloud reporting capabilities of the first network entity.


