Intelligent Caching Using Location Patterns
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Solution Overview
Problem
Wireless network providers face challenges in maintaining infrastructure to meet bandwidth demands due to limitations in wireless communication channels and limited memory in mobile devices, leading to decreased download speeds and inefficient use of wireless access points.
Innovation Solution
A method and system that predict future data requests by analyzing usage and location patterns of mobile devices, allowing for pre-caching of data at external storage locations near anticipated user locations, reducing the need for bandwidth and memory on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If data is cached in mobile device memory, then response time is reduced, but device memory capacity is insufficient
Solution Approach 1:
The patent extends the caching dimension from local device memory to external network storage locations. By predicting future requests and caching data at multiple external storage locations along the user's movement path, the system overcomes the limited local memory capacity while maintaining fast response times.
Solution Approach 2:
The system performs preliminary caching actions by predicting future data requests based on usage patterns and location information. Data is cached at external storage locations before the user actually requests it, reducing response time without requiring large local memory on the mobile device.
2Speed
If bandwidth is increased to meet demand, then download speed is improved, but infrastructure cost increases
Solution Approach 1:
The system pre-loads data into external cache storage locations before users request it. This preliminary action reduces the actual bandwidth needed during peak usage times, as cached data can be delivered faster without requiring additional high-capacity bandwidth infrastructure.
Solution Approach 2:
External cache storage locations act as intermediaries between the content delivery network and mobile users. These intermediaries store data closer to users, reducing the bandwidth requirements of the core network infrastructure while maintaining high download speeds.
3Reliability
If wireless access points are increased to reduce congestion, then service quality is improved, but infrastructure complexity increases
Solution Approach 1:
The patent adds a spatial dimension to content delivery by distributing cached data across multiple external storage locations along predicted user paths. This approach improves service quality without requiring proportional increases in wireless access points, as data can be retrieved from cached locations rather than through congested wireless channels.
Data Source
AI summary
Pre-caching may decrease the response time necessary for a wireless communication network to fulfill a user request. Pre-caching includes predicting what data the user will request next and preemptively fetching that data from a network (e.g., the Internet). Additionally, the wireless communication network may predict the geographic location of the mobile device when it makes the request. Instead of pre-caching the data in the memory of the mobile device, the data may be stored at a wireless access point that has a radiation pattern that covers the predicted geographic location of the mobile device. Once the wireless access point receives the request from the mobile device for the pre-cached data, the pre-cached data may be transmitted wirelessly to the mobile device, thereby avoiding having to forward the request to rest of the communication network.