Dynamic IP Traffic Shaping for Adaptive Modulation Links
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Solution Overview
Problem
Existing traffic shaping methods for adaptive modulation and coding (AMC) data links often lead to under-utilization or over-utilization of link bandwidth due to static configuration, which is originally intended for fixed data rate communication links.
Innovation Solution
A computing system that dynamically adjusts the traffic shaping configuration based on a modulation-to-maximum-goodput mapping table and computes an optimal shaping rate using data packet transmission statistics, ensuring the traffic shaping implementation is aware of and adapts to changes in PHY modulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static traffic shaping configuration is used on AMC data links, then device complexity is reduced and ease of operation is improved, but bandwidth utilization efficiency deteriorates leading to under-utilization or over-utilization
Solution Approach 1:
The patent implements dynamic traffic shaping by continuously monitoring PHY modulation changes and automatically adjusting the shaping rate accordingly. The system transitions from static configuration to dynamic adaptation by detecting modulation events and computing optimal shaping rates based on current link conditions, thereby resolving the contradiction between operational simplicity and bandwidth utilization efficiency.
Solution Approach 2:
The system establishes a feedback loop that monitors PHY modulation status and uses this information to adjust traffic shaping parameters. The shaping rate is dynamically recomputed based on feedback from modulation detection, ensuring optimal bandwidth utilization while maintaining ease of operation through automated closed-loop control.
2Adaptability or versatility
If static shaping rate is configured for AMC links, then adaptability to different link conditions deteriorates, but device complexity is reduced
Solution Approach 1:
The system achieves adaptability through dynamic adjustment of shaping rates based on detected PHY modulation changes. By implementing real-time monitoring and automatic reconfiguration, the system adapts to varying link conditions without requiring complex manual intervention, balancing adaptability with manageable system complexity.
Solution Approach 2:
The traffic shaping system performs self-configuration by automatically detecting modulation events and adjusting its own parameters. The system monitors its own link conditions and autonomously optimizes shaping rates, eliminating the need for external configuration and reducing operational complexity while maintaining high adaptability.
3Ease of operation
If traffic shaping is implemented without awareness of PHY modulation, then ease of operation is improved, but loss of information occurs due to mismatched shaping rates and actual link capacity
Solution Approach 1:
The system eliminates information loss by implementing feedback from PHY modulation detection to traffic shaping configuration. The shaping rate is continuously aligned with actual link capacity based on detected modulation, ensuring that no bandwidth capacity information is lost and that traffic shaping accurately reflects real-time link conditions.
Solution Approach 2:
The patent introduces PHY modulation detection as an intermediary that bridges the gap between physical layer conditions and network layer traffic shaping. This intermediary component translates PHY modulation states into appropriate shaping rate configurations, ensuring accurate information transfer between layers while maintaining operational simplicity.
Data Source
AI summary
A method of traffic shaping on an adaptive modulation and coding (AMC) data link may include, with a traffic shaping configuration agent, obtaining first data from a neighbor routing table stored on a network interface card (NIC), obtaining second data from a modulation to maximum achievable goodput table, and obtaining third data from a user-configured percentage input. The traffic shaping configuration agent may further reconfigure an operating system (OS) traffic shaping implementation based on the first data, the second data, and the third data.