Redundant Wireless Links for Teleoperated Vehicle Latency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current congestion control algorithms for single-path wireless transmissions are inadequate for ensuring low latency and reliability in cloud robotics applications, especially in public networks and for highly-mobile robotic units like autonomous vehicles, as they fail to provide the necessary safety level for real-time monitoring and control.
Innovation Solution
A system and method that utilize redundant low-latency data transmission channels over multiple wireless links, where a network orchestrator optimizes data stream assignments across different wireless connections using machine-learned models and optimization algorithms to minimize latency and congestion, and a video processor selects the best video segments based on arrival time and quality indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If single-path wireless transmission is used, then device complexity is reduced, but reliability and latency performance deteriorate for cloud robotics applications
Solution Approach 1:
The patent segments the data transmission into multiple parallel paths (wireless connections) instead of using a single path. Each data stream is divided and transmitted through different wireless connections, allowing the system to achieve higher reliability through redundancy while managing complexity through structured segmentation of the transmission workflow
Solution Approach 2:
The patent transitions from a one-dimensional single-path transmission model to a multi-dimensional approach by utilizing multiple wireless connections simultaneously. This dimensional expansion allows data to traverse through multiple parallel channels, improving reliability and latency performance without proportionally increasing system complexity
2Reliability
If redundant data streams are transmitted over multiple wireless connections, then reliability improves, but network congestion and latency increase
Solution Approach 1:
The patent implements dynamic assignment of data streams to wireless connections using a network orchestrator that adapts to changing network conditions. This dynamic allocation optimizes the use of available bandwidth across multiple connections, reducing congestion and latency while maintaining the reliability benefits of redundant transmission paths
Solution Approach 2:
The patent changes transmission parameters such as bandwidth allocation, priority levels, and routing decisions based on real-time network conditions. By dynamically adjusting these parameters, the system maintains low latency while utilizing multiple wireless connections for reliable data transmission
3Reliability
If optimization algorithms and machine-learned models are implemented, then transmission quality and latency performance improve, but device complexity increases
Solution Approach 1:
The patent employs machine-learned models that are pre-trained offline to predict optimal transmission parameters and network conditions. This preliminary action allows the system to make quick, informed decisions during runtime without requiring complex real-time computations, thus improving transmission quality while managing processing complexity
Solution Approach 2:
The patent introduces a network orchestrator as an intermediary component that manages the complexity of optimization algorithms and machine-learned models. This orchestrator acts as a mediator between the data transmission processes and the complex optimization logic, coordinating activities and simplifying the overall system architecture
Data Source
AI summary
A vehicle remote support system includes a communication system that operates over a plurality of parallel wireless network connections to provide low-latency video from vehicle to a remote support server that provides remote support to the vehicle dependent on real-time video. The vehicle includes a source that encodes multiple versions of the original video segments (e.g., one per wireless network connection) and transmits the multiple versions of the segments to a sink at the remote support server over the respective wireless connections. This redundant multi-path communication system rationally allocates network resources to the managed video streams and balances bandwidth against latency in order to avoid network congestion and safety issues associated with single-path transmissions. In other embodiments, a similar communication system that transmits video or other real-time messages between a source and a sink may be utilized in cloud robotics applications.