Downlink Resource Allocation for Train Obstacle Detection
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Solution Overview
Problem
Current downlink transmission resource allocation in wireless communications for obstacle detection systems in moving conveyances, such as trains, is not optimized to adequately support obstacle detection assistance from remote servers, leading to inefficiencies and potential false alarms, particularly in environments with varying propagation conditions.
Innovation Solution
A method for optimizing downlink transmission resources by determining the volume-to-distance ratio of obstacle detection enhancement data needed based on the actual speed and location of moving conveyances, using a database to allocate resources efficiently and ensuring timely transmission of data to support obstacle detection systems, which includes estimating the required data location and optimizing resource allocation to prevent blind zones and ensure data overlap or incremental transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If downlink transmission resources are allocated using conventional wireless communication optimization methods, then transmission efficiency under varying propagation conditions is improved, but obstacle detection data transmission accuracy and timeliness deteriorate
Solution Approach 1:
The patent changes the optimization parameters from conventional wireless communication metrics (signal-to-noise ratio, interference levels) to obstacle detection-specific parameters (distance traveled dk, data coverage distance Dk, volume-to-distance ratio bk). This allows the system to prioritize transmission of critical obstacle detection data over general transmission efficiency, ensuring that the most important data reaches the receiver accurately and timely despite varying propagation conditions.
Solution Approach 2:
The system performs preliminary estimation of the distance dk the conveyance will travel during the transmission cycle and pre-calculates the required data coverage distance Dk. This preliminary action allows the server to allocate transmission resources in advance based on predicted needs rather than reactive optimization, ensuring that obstacle detection data is transmitted with appropriate priority before the actual transmission occurs.
2Reliability
If downlink transmission resources are allocated to ensure complete obstacle detection data coverage, then detection accuracy is improved, but transmission resource waste increases
Solution Approach 1:
The patent introduces the volume-to-distance ratio bk as a key parameter that quantifies the relationship between data volume and coverage distance. By optimizing based on this ratio rather than allocating fixed resources, the system ensures that transmission resources are proportional to the actual detection needs. This prevents both over-allocation (waste) and under-allocation (reliability issues) by dynamically matching resource allocation to the specific requirements of each transmission cycle.
Solution Approach 2:
The system uses feedback from the calculated difference (dk - Dk) to adjust resource allocation. If the difference is positive (insufficient coverage), resources are increased; if negative (excessive coverage), resources are reduced. This feedback mechanism ensures that the system maintains reliable obstacle detection accuracy while minimizing transmission resource waste by continuously adapting allocation to actual needs.
3Loss of time
If transmission resource allocation is optimized in real-time based on conveyance speed and location, then obstacle detection timeliness is improved, but system complexity increases
Solution Approach 1:
The patent simplifies the real-time optimization problem by changing the parameters to be optimized from multiple complex wireless communication variables to two key parameters: distance traveled dk (calculated from speed and time) and data coverage distance Dk. This parameter reduction maintains obstacle detection timeliness while significantly reducing computational complexity, as the server only needs to track conveyance position and calculate these two distances rather than optimizing across multiple communication metrics simultaneously.
4Productivity
If volume-to-distance ratio information is used to determine data transmission needs, then resource allocation efficiency is improved, but information processing requirements increase
Solution Approach 1:
The patent transforms the complex task of determining transmission needs into a simple calculation using the volume-to-distance ratio bk. Instead of analyzing multiple data characteristics and transmission requirements separately, the system uses this single ratio parameter combined with the distance dk to directly determine the required data volume. This parameter transformation maintains high resource allocation efficiency while reducing information processing requirements by consolidating multiple considerations into a single calculable metric.
Data Source
AI summary
Obstacle detection enhancement data are transmitted from a server to at least one moving conveyance embedding an obstacle detection system and an on-board wireless radio unit communicating with the server via wireless link. To do so, downlink transmission resources are allocated to each on-board wireless radio unit in a transmission cycle Cn, by optimizing the difference between a distance travelled by the moving conveyance during a transmission cycle and a distance covered by the obstacle detection enhancement data made available to the obstacle detection system at a next transmission cycle Cn+1, wherein the volume of obstacle detection enhancement data expected to be transmitted during the transmission cycle Cn is determined from volume-to-distance ratio information bk stored in a database and from actual quality of the wireless link.