Delay Prediction Device for Dynamic Retransmission Wait Time
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Solution Overview
Problem
Existing techniques for predicting communication delay in IP networks struggle to accurately forecast sudden increases in delay time, leading to inefficiencies in retransmission and throughput, particularly in remote control systems where sudden changes can result in unintended device movements.
Innovation Solution
A delay prediction device that estimates the probability distribution of communication delays by distinguishing between low and high delay states, using measured data to predict future delays through a Markov process-based approach, allowing for more accurate anticipation of communication delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed wait time is used for packet retransmission, then the system is simple to operate, but throughput deteriorates when communication delay varies
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed wait time to a dynamic wait time that adapts to changing communication conditions. The retransmission wait time is adjusted based on predicted future communication delays, allowing the system to optimize throughput while maintaining operational simplicity through automated adaptation.
Solution Approach 2:
The patent implements preliminary action by predicting future communication delays before retransmission decisions are made. By analyzing past delay patterns and forecasting future delays, the system prepares optimal wait times in advance, preventing throughput deterioration before it occurs.
2Speed
If retransmission wait time is shortened, then response speed improves, but wasteful retransmission increases
Solution Approach 1:
The patent applies feedback by continuously monitoring actual communication delays and using this information to refine predictions of future delays. This feedback loop enables the system to accurately determine optimal wait times, reducing both wasteful retransmissions and delayed responses by adapting to real network conditions.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the retransmission wait time parameter based on predicted communication delays. Instead of using a fixed parameter, the system modifies this critical parameter in response to changing network conditions, optimizing both speed and energy efficiency.
3Reliability
If retransmission wait time is extended, then communication reliability improves, but throughput deteriorates
Solution Approach 1:
The patent resolves this contradiction by making the wait time dynamic rather than fixed. By predicting future communication delays and adjusting wait times accordingly, the system maintains reliability when delays are likely while avoiding unnecessary delays when the network is stable, thus preserving throughput.
4Adaptability or versatility
If public line information is used, then network accessibility improves, but prediction accuracy deteriorates due to lack of user-specific data
Solution Approach 1:
The patent applies self-service by having each user device independently collect and analyze its own communication delay data. Instead of relying on centralized public line information that lacks user-specific details, the system enables devices to self-monitor and self-predict their own delay patterns, significantly improving prediction accuracy while maintaining broad network accessibility.
Data Source
AI summary
Provided is a delay prediction device for predicting a future communication delay with high accuracy based on past communication delay data. Delay prediction device includes: a low delay distribution estimation unit that estimates a probability distribution of a first communication delay state by using a result of measuring a communication delay of a packet in a network; identification unit that identifies whether a state of the communication delay is the first communication delay state or a second communication delay state in which the communication delay is greater than the communication delay in the first communication delay state; high delay distribution estimation unit that estimates a probability distribution of the second communication delay state; and delay distribution prediction unit that predicts a probability distribution of a future communication delay, based on a probability distribution of the first communication delay state and a probability distribution of the second communication delay state.


