mmWave Access Point Route Prediction for Mobile Data Caching
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Solution Overview
Problem
The challenge of providing high-speed, ubiquitous coverage for vehicle-to-infrastructure (V2I) communication using millimeter wave (mmWave) spectrum is hindered by strong fading, shadowing, and absorption, requiring excessive resources for blanket coverage, and existing solutions struggle with non-real-time data transfers in mobile environments.
Innovation Solution
A system that employs a download server and multiple non-overlapping mmWave access points to pre-cache data along a vehicle's predicted route, allowing for high-speed data transfers through mmWave transmission when the vehicle is within range, leveraging GPS and navigational data to optimize data allocation and caching, even in areas with non-ubiquitous coverage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If blanket coverage is provided using mmWave access points, then coverage area is improved, but resource consumption increases excessively due to strong fading, shadowing, and absorption
Solution Approach 1:
The system segments the coverage area into discrete zones, each served by a specific mmWave access point. Instead of providing uniform blanket coverage, the network divides the service area into manageable segments that can be independently managed and optimized, reducing overall resource consumption while maintaining effective coverage.
Solution Approach 2:
The system performs preliminary actions by predicting vehicle routes in advance and pre-caching data at strategically located access points along those routes. This allows data to be ready and available when vehicles arrive, eliminating the need for continuous transmission and reducing real-time resource consumption while maintaining high-speed transfer capability.
2Speed
If mmWave transmission is used for high-speed data transfer, then data transfer speed is improved, but reliability deteriorates due to strong fading, shadowing, and absorption
Solution Approach 1:
The system predicts vehicle routes and pre-caches data at access points along the predicted path before the vehicle arrives. This preliminary action ensures that when the vehicle enters the mmWave coverage zone, data transfer can begin immediately at high speed without interruption from connection establishment delays or signal instability during route discovery.
Solution Approach 2:
The system introduces an intermediary layer of prediction and caching infrastructure between the data source and the vehicle. This intermediary layer handles the complexity of mmWave reliability issues by pre-positioning data and managing connections, allowing the vehicle to simply receive data at high speed without directly dealing with the underlying transmission reliability challenges.
3Loss of information
If continuous connectivity is maintained for data download, then data transfer completeness is improved, but resource consumption increases
Solution Approach 1:
The system performs preliminary data caching at access points along predicted vehicle routes, so that when the vehicle enters the coverage zone, the data is already available locally. This eliminates the need for continuous long-distance connectivity and resource-intensive real-time transmission, while ensuring complete data transfer through pre-positioned copies.
Solution Approach 2:
The system extracts data from the central source and places it at intermediate locations (access points along the route) where it can be transferred to the vehicle with minimal resource consumption. This extraction and distribution strategy reduces the burden on continuous connectivity while ensuring data completeness through multiple available copies.
Data Source
AI summary
In one embodiment, a system includes: a download server instantiated on a computing device, and a multiplicity of wireless access points (APs), where the download server is operative to: receive a download request from a mobile device, determine a current location for the mobile device, predict a route for the mobile device based at least on the current location, allocate at least one target AP along the route from among the multiplicity of wireless APs, and in response to the download request, forward at least one download file to the at least one target AP, where the at least one target AP is operative to: receive the at least one download file, identify the mobile device, and download at least part of the download file to the mobile device in an mmWave transmission.