Modem Burst Transmission Timing via Traffic Analysis
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Solution Overview
Problem
High-volume data spikes in digital content consumption lead to data collisions and failed transmissions due to high demands on data hubs and modems, particularly when multiple users access bandwidth-intensive content simultaneously.
Innovation Solution
A method to determine an optimal burst transmission time through a modem by monitoring traffic rates, identifying bursts, measuring inter-burst gaps, and using a moment-generating function to calculate an average transmission time that minimizes the risk of co-occurring bursts, allowing for efficient data transmission without contention windows for bursty data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple users access bandwidth-intensive content simultaneously through a shared modem, then data consumption and bandwidth utilization increase, but data collisions and transmission failures increase
Solution Approach 1:
The system performs preliminary monitoring of traffic rates and identification of burst patterns before transmission occurs. By analyzing historical traffic data and predicting future burst times, the system proactively schedules transmissions to avoid collisions, rather than reacting to collisions after they occur.
Solution Approach 2:
The system continuously monitors actual transmission outcomes and uses this feedback to refine its burst prediction models. By tracking collision patterns and adjusting the moment-generating function parameters based on observed traffic behavior, the system improves its ability to predict optimal transmission times and reduce future collisions.
2Reliability
If traditional contention window mechanisms are used for bursty data transmission, then collision avoidance is attempted, but transmission delays and inefficiency increase
Solution Approach 1:
The system changes the fundamental parameter from random backoff timing to predicted optimal timing based on traffic pattern analysis. By using the moment-generating function to calculate precise transmission times based on observed burst patterns, the system eliminates the need for conservative contention windows and their associated delays.
Solution Approach 2:
The system dynamically adjusts transmission timing based on real-time analysis of traffic patterns. Rather than using fixed contention window sizes, the system adapts its predicted optimal transmission times based on changing burst characteristics, making the transmission schedule responsive to actual network conditions.
3Productivity
If transmission timing is optimized for bursty data, then transmission efficiency improves, but system complexity increases due to monitoring and calculation requirements
Solution Approach 1:
The system uses the modem's own traffic monitoring capabilities to generate the prediction models, eliminating the need for external complex analysis systems. By leveraging locally available traffic data and using statistical moment-generating functions that can be computed with relatively simple algorithms, the system achieves sophisticated timing optimization without proportionally increasing complexity.
Data Source
AI summary
The present disclosure generally relates to systems, methods and software for determining an optimal burst transmission time through a modem, such as a cable modem, a wireless access point, a node in a cable network, or a satellite communication link. Particularly, the present disclosure makes it possible for a burst of queued data, defined as data above a certain percentile of a monitored traffic rate, to be transmitted by the modem at a time that provides the best chance of avoiding a collision with a co-occurring burst of data from another user connected to the same modem. In an embodiment, the systems, methods and software disclosed herein use the optimal transmission time to replace a contention window transmission time, at least for bursty data, or they completely eliminate the need for contention windows, at least for bursty data.