Network Condition Identification via Packet Timestamp Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Real-time multimedia streaming over networks faces challenges due to network congestion, which causes queueing delay, packet loss, and degradation in media quality, necessitating the ability to quickly adapt transmission parameters in response to changing network conditions.
Innovation Solution
A method and device that determine network conditions by analyzing time periods between receiving packets with timestamps, identifying congestion, route changes, and delay variations, and adjusting transmission bandwidth accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If network elements employ large buffers to accommodate bursty incoming traffic, then buffer capacity is improved, but queueing delay and latency increase causing network congestion
Solution Approach 1:
The patent applies preliminary action by proactively detecting network conditions (congestion, route changes) before they severely impact media playback. The system monitors inter-arrival times and timestamp differences to identify degradation trends early, allowing the transmitting device to preemptively adjust transmission parameters and prevent severe congestion effects.
Solution Approach 2:
The patent implements feedback mechanisms where the transmitting device continuously monitors network conditions through received packet timing information and adjusts transmission parameters accordingly. The system uses feedback from inter-arrival time analysis and timestamp comparisons to dynamically modify transmission behavior, creating a closed-loop control system that responds to network state changes.
2Productivity
If the transmitting device quickly adapts transmission parameters in response to network changes, then real-time playback quality is improved, but the complexity of detecting and measuring network conditions increases
Solution Approach 1:
The patent extracts relevant network condition information from the packet timestamps and inter-arrival times that are already present in the streaming data. Instead of adding complex detection mechanisms, the system extracts useful metrics (congestion indicators, route change signals) from existing packet timing information, simplifying the detection process while enabling quick adaptation.
Solution Approach 2:
The patent replaces complex network monitoring mechanisms with a simpler timestamp-based detection method. Instead of using sophisticated probes or additional measurement infrastructure, the system substitutes mechanical complexity with a clean mathematical approach using timestamp differences and inter-arrival time analysis to infer network conditions.
3Reliability
If the transmitting device reduces transmission bandwidth to avoid network congestion, then network quality is improved, but media playback timeliness may be compromised
Solution Approach 1:
The patent applies dynamics by making transmission parameter adjustments adaptive and responsive to changing network conditions. The system dynamically adjusts transmission parameters based on real-time network state detection, allowing the bandwidth to be increased when network conditions improve and decreased when congestion is detected, optimizing the balance between network quality and playback timeliness.
Data Source
AI summary
A method of identifying a network condition between a pair of network devices, the method comprising: determining a first time period between receiving a first-received packet for an initial media frame and receiving a first-received packet for a subsequent media frame, wherein the packets are received at one of the devices via a network and each received packet comprises a timestamp; determining a second time period between the timestamp of the packet for the initial media frame and the timestamp of the packet for the subsequent media frame; and identifying a network condition in dependence on a difference between the first and second time periods.


