V2X Preemptive Data Download for Congestion Management
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Solution Overview
Problem
The connected-vehicle radio-frequency environment is spectrum-limited and bandwidth-limited, leading to degradation in user experience due to high-data rate service demands in congested areas, causing latency issues and failed connections.
Innovation Solution
A system that preemptively generates a data distribution plan based on planned route information and gap durations, utilizing multiple stations to deliver data packets, thereby conserving network resources and maintaining quality of service for delay-intolerant applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple mobile devices request high-data rate services in congested areas, then user demand for data services is met, but network bandwidth is depleted and quality of service degrades
Solution Approach 1:
The system performs preliminary actions by predicting future network congestion based on mobile device trajectories and preemptively establishing data distribution plans. The network server determines predicted congestion periods before they occur, allowing data to be prepared and routed in advance, thus preventing service degradation when congestion actually occurs.
Solution Approach 2:
The data distribution plan segments network traffic by separating delay-tolerant data (such as media content) from delay-intolerant data (such as control signals). This segmentation allows the system to prioritize critical communications while still delivering high-data rate services during predicted congestion periods, maintaining quality of service for essential functions.
2Speed
If data is delivered in real-time during congestion, then immediate user needs are met, but latency increases and connections fail
Solution Approach 1:
The system calculates predicted congestion periods and prepares data distribution plans in advance, before the actual congestion occurs. This preliminary action allows data to be staged and routed efficiently, reducing latency when the data actually needs to be delivered during congested periods.
Solution Approach 2:
The data distribution plan is dynamically adjusted based on real-time network conditions and actual mobile device locations. The system continuously monitors and updates the plan to optimize data delivery speed while avoiding congested network paths, thereby reducing latency without sacrificing delivery speed.
3Productivity
If network resources are allocated to high-data rate services, then user experience for media applications improves, but resources for delay-intolerant applications are depleted
Solution Approach 1:
The system segments data into delay-tolerant categories (such as media content, images, videos) and delay-intolerant categories (such as control signals, safety communications). The data distribution plan allocates network resources differently for each segment, ensuring that delay-intolerant applications receive guaranteed bandwidth while media applications receive enhanced delivery during predicted congestion periods.
Solution Approach 2:
The system applies different quality levels of service to different data types based on their urgency. Delay-intolerant applications receive high-priority, low-latency treatment with guaranteed resource allocation, while delay-tolerant media applications receive optimized delivery during predicted congestion periods. This local quality differentiation ensures critical functions are never compromised while still improving overall user experience.
Data Source
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AI summary
Techniques are provided for responding to congestion-sensitive preemptive data download requests in a V2X network. An example method for downloading data on a mobile device includes determining an estimated time of arrival at a station based at least in part on almanac information, generating a data download request based at least in part on the estimated time of arrival at the station, transmitting the data download request, and receiving one or more data packets from the station based on the data download request.