Content Distribution System Radio-Aware Throughput Control
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Solution Overview
Problem
Current content distribution systems are unaware of radio conditions and network capacity, leading to inefficiencies such as high packet loss and retransmissions, as they do not adjust data transmission based on the state of the network or device capabilities.
Innovation Solution
A method and system that utilize radio quality metrics to determine spectral efficiency and available network capacity, allowing for targeted throughput adjustments and optimal content delivery through the selection of the most suitable network or technology for each user device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content distribution systems push data through wireless networks without considering network state, then data transmission can proceed continuously, but packet loss increases and retransmissions are required
Solution Approach 1:
The system implements feedback mechanisms where the content distribution system receives radio quality metric signals and capacity usage reports from the network, continuously monitors network conditions, and adjusts data push rates accordingly to maintain reliable delivery while maximizing throughput
Solution Approach 2:
The system dynamically adjusts the data transmission rate based on real-time network conditions by determining spectral efficiency from radio quality metrics and available capacity from capacity usage reports, allowing the push rate to adapt to changing network states
2Device complexity
If content distribution systems operate without awareness of radio conditions, then system complexity remains low, but spectral efficiency of data reception deteriorates
Solution Approach 1:
The system introduces intermediary components including a radio quality metric signal receiver that collects radio conditions, a spectral efficiency determiner that calculates efficiency metrics, and a capacity usage report receiver that gathers network capacity information, enabling sophisticated control without overwhelming system complexity
Solution Approach 2:
The system replaces simple blind data pushing with an intelligent control mechanism that uses radio quality metrics and capacity reports to determine spectral efficiency and optimize transmission parameters, substituting mechanical simplicity with electronic/intelligent adaptation
3Adaptability or versatility
If application clients adjust bitrate versions based on network sensing, then local bandwidth adaptation is achieved, but network-wide capacity utilization deteriorates
Solution Approach 1:
The system merges client-side adaptation capabilities with network-side visibility by integrating capacity usage reports from the network into the content distribution system's decision-making process, combining local sensing with global network awareness to optimize overall capacity utilization
Solution Approach 2:
The system creates a multi-functional architecture where the content distribution system performs both client-specific bitrate selection and network-wide capacity management, unified through the spectral efficiency determiner that uses both radio quality metrics and capacity usage reports
Data Source
AI summary
A method and system for operating a radio aware communication system includes receiving, by a content distribution system, a radio quality metric signal from a user device or a network; determining, by the content distribution system, a spectral efficiency for the user device based on the radio quality metric signal; receiving a capacity usage report from a first network; determining an available capacity of the first network based on the capacity usage report; determining a target available capacity utilization goal of the first network based on the available capacity; determining a target throughput based on the target available capacity utilization goal for communicating content to a user device and the spectral efficiency for the user device; and communicating the content to the user device using the target throughput through the first network.