Base Station Edge Caching for Mobile Network Throughput
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Solution Overview
Problem
Mobile data networks face challenges in efficiently delivering data due to the high cost and complexity of upgrading existing infrastructure, particularly in boosting throughput in point-to-point microwave links, which requires costly replacements with fiber optic cables, and existing solutions like HomeNodeB complicate providing mobile network services like lawful interception and charging.
Innovation Solution
The implementation of an edge caching mechanism within the basestation in mobile data networks that analyzes historical usage data to define cache load and flush criteria, allowing data to be cached transparently to existing equipment, thereby reducing the need for infrastructure upgrades and improving service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is cached at the edge of the network within existing infrastructure, then data delivery efficiency is improved and core network load is reduced, but the complexity of managing cache criteria and transparent integration increases
Solution Approach 1:
The basestation autonomously performs cache management by analyzing its own historical usage data to generate cache load criteria and cache flush criteria without external intervention. The system self-adjusts caching behavior based on observed usage patterns, eliminating the need for complex centralized control while maintaining efficient data delivery.
Solution Approach 2:
The system continuously monitors historical usage data and uses this feedback to dynamically generate and adjust cache load and flush criteria. This closed-loop feedback mechanism enables the basestation to adapt its caching strategy based on actual usage patterns, improving efficiency while keeping management simple through automated learning.
2Productivity
If existing mobile data network infrastructure is upgraded to boost throughput, then data delivery capability is improved, but the cost of replacement increases
Solution Approach 1:
The solution segments the data delivery path by introducing caching at the edge (basestation level) separate from the core network infrastructure. This allows throughput improvement at the edge without requiring expensive replacement of the entire core network, enabling selective upgrades only where needed.
Solution Approach 2:
The basestation proactively caches data based on historical usage patterns before requests arrive, preparing data in advance. This preliminary action reduces the need for high-speed transmission through expensive infrastructure upgrades, as data is delivered from local cache rather than requiring bandwidth-intensive core network transmission.
Data Source
AI summary
Mobile network services are performed in a mobile data network in a way that is transparent to most of the existing equipment in the mobile data network. The mobile data network includes a radio access network and a core network. An edge caching mechanism is provided within a basestation to perform caching of data at the edge of the mobile data network. The edge caching mechanism analyzes historical usage data that indicates historical accesses to the basestation. Data patterns in the historical usage data may be used to define cache load criteria and to optionally define cache flush criteria. This architecture allows caching of data at the edge of a mobile data network within the infrastructure of an existing mobile data network.