Wireless Base Station Caching for Surplus Network Capacity Broadcasting
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Solution Overview
Problem
Current digital content distribution systems face network congestion and reduced throughput during peak usage periods, leading to increased costs for network upgrades to maintain Quality of Service and Quality of Experience.
Innovation Solution
The method involves determining surplus network capacity, caching data at a wireless base station, formatting it into sub-blocks, and simultaneously multicasting to subscriber devices without interfering with cross-traffic, utilizing unused channel capacity for efficient content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network capacity is increased to handle peak usage periods, then Quality of Service and Quality of Experience are maintained, but costs for network upgrades increase
Solution Approach 1:
The system performs preliminary actions by caching content at base stations before peak usage periods. Content is pre-fetched and stored in advance, so when peak demand occurs, the base station can serve multiple users simultaneously from local cache rather than requiring additional network capacity for the same service quality.
Solution Approach 2:
The base station acts as an intermediary between the content source and multiple subscriber devices. By caching content at this intermediate point, the system can serve multiple users simultaneously without requiring proportional increases in backbone network capacity, thus maintaining QoS without expensive upgrades.
2Reliability
If network capacity is increased to handle peak usage periods, then Quality of Experience is maintained, but costs for network upgrades increase
Solution Approach 1:
Content is pre-fetched and cached at base stations before peak usage periods. This preliminary action ensures that when peak demand occurs, the system can maintain high Quality of Experience by serving users from locally cached content rather than relying on expensive network capacity increases.
Solution Approach 2:
The base station serves as an intermediary that caches content locally, enabling it to serve multiple subscribers simultaneously during peak periods without requiring proportional increases in network infrastructure capacity, thus maintaining QoE without costly upgrades.
3Productivity
If broadcasting is used to distribute content to all subscriber devices, then content delivery efficiency is improved, but network congestion increases during peak usage periods
Solution Approach 1:
The system performs preliminary content retrieval and caching at base stations before actual broadcast time. This pre-fetching approach allows the broadcast to occur without generating additional network traffic during peak periods, as the content is already in place at the distribution point.
Solution Approach 2:
The base station acts as an intermediary that has pre-loaded content into its cache. When broadcast is initiated, the base station simply redistributes already-cached content to multiple devices simultaneously, achieving efficient content delivery without generating the harmful effect of network congestion that would occur if content were fetched in real-time during peak usage.
4Quantity of substance
If multicast is used to deliver content to selected subscriber devices, then network bandwidth usage is reduced, but implementation complexity increases
Solution Approach 1:
The base station serves as an intermediary that handles multicast distribution by first caching content locally. This approach simplifies the implementation of multicast by pre-resolving the content retrieval step, allowing the base station to simply replicate and distribute cached content to selected devices without adding significant implementation complexity despite reducing network bandwidth usage.
Data Source
AI summary
A system and method are described for broadcasting/multicasting content using surplus network capacity. The systems and methods are directed to solving the problem of how to simultaneously broadcast/multicast large content files to a plurality of users for later retrieval by using existing network capacity as opposed to being forced to add new capacity to handle peak demand. Generally, the methods comprise receiving data to be distributed, determining surplus network capacity, and distributing the data within the surplus network capacity to a plurality of subscriber devices.