Edge Base Station Local Content Caching for Network Traffic Reduction
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Solution Overview
Problem
Traditional wireless communication networks face inefficiencies in serving content to user equipment, leading to increased traffic and wait times due to reliance on external content servers, especially for rapidly popular content.
Innovation Solution
Implementing a method where edge base stations store and serve content locally, reducing the need for repeated requests to external servers by maintaining local copies of high-frequency content, and utilizing user equipment to transfer files directly when possible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If content is served from external content servers, then network coverage and content availability are maintained, but network traffic increases and wait times increase
Solution Approach 1:
The patent implements preliminary action by proactively caching viral and high-frequency content at edge base stations before user requests arrive. The system identifies trending content through monitoring request patterns and pre-positions it at the network edge, so when users request this content, it is already locally available, eliminating wait time and reducing network traffic.
Solution Approach 2:
The patent applies local quality by creating geographically distributed content caches at edge base stations closer to users. Different edge locations store different content based on local demand patterns, ensuring that content is served from the nearest available cache, thereby reducing latency and network traffic while maintaining content availability.
2Productivity
If local content caching is implemented at edge base stations, then wait times decrease and network traffic reduces, but device complexity increases
Solution Approach 1:
The patent implements multi-functionality by enabling edge base stations to perform both their traditional wireless communication functions and content caching/delivery functions. The same infrastructure is leveraged for dual purposes, avoiding the need for separate dedicated content delivery systems and thereby limiting the increase in device complexity while still achieving faster content delivery.
Solution Approach 2:
The patent introduces an intermediary content caching layer at edge base stations between the central content servers and end users. This intermediary layer handles the complexity of content management, storage, and local delivery, shielding the core network infrastructure from direct complexity increases while enabling faster content access for users.
3Loss of energy
If viral content is identified and cached locally, then repeated requests are reduced and network efficiency improves, but measurement and detection complexity increases
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring user request patterns and analyzing which content generates the most requests. This feedback loop enables the system to automatically identify viral and high-frequency content based on empirical data, rather than requiring complex predictive algorithms, thereby reducing detection complexity while improving network efficiency.
Data Source
AI summary
A method for locally serving content is described. The method includes receiving, at a gateway device, a first request for a data file via a first user device communicatively coupled to the gateway device. The data file is received at the gateway device from an external server and sent to the first user device. A data record is stored to a storage device indicating that the data file has been sent to the first user device. A second request for the data file is later received at the gateway device from a second user device communicatively coupled to the gateway device. In response to the receiving of the second request, the data record is accessed and causes a computer read of the data record. The first user device is then instructed to transfer the data file to the second user device, via the gateway device, based upon the computer read.