Low-Latency QoS Packet Prioritization via Sub-Flow Segmentation
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Solution Overview
Problem
Existing network systems face challenges in managing low-latency packet flows efficiently, leading to increased latency and unfair resource allocation among subscribers when the transmission medium becomes congested, as typical priority schedulers often drop or delay low-latency packets.
Innovation Solution
Implementing a system where data packets are queued directly into sub-flows without dropping or delaying, using differentiated services code points to prioritize low-latency packets, and apportioning bandwidth by separating subscriber flows into low-latency and normal-latency sub-flows, ensuring low-latency packets are transmitted first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If general prioritization of low-latency data flows is implemented, then low-latency applications (e.g., online gaming) receive improved service quality, but heavy users of low-latency flows consume excessive bandwidth, negatively impacting other subscribers
Solution Approach 1:
The patent applies local quality by differentiating bandwidth allocation based on subscriber-tier classifications. Premium subscribers receive higher priority and larger bandwidth allocations for low-latency flows, while standard subscribers receive limited allocations. This localized quality differentiation ensures that not all low-latency flows are treated equally, preventing any single subscriber from monopolizing bandwidth while still providing quality service to those who require it.
2Productivity
If bitrate available for a data flow is reduced due to transmission medium congestion, then resources are allocated to other data flows, but low-latency packets are dropped or buffered, increasing latency
Solution Approach 1:
The patent segments data flows into distinct subscriber-tier categories (premium and standard) with differentiated quality of service policies. This segmentation allows the system to apply different bandwidth allocation and packet handling rules to different segments, ensuring that low-latency packets from premium subscribers are protected from dropping and buffering even when overall bitrate is reduced due to congestion.
Solution Approach 2:
The patent implements feedback mechanisms that monitor transmission medium congestion levels and dynamically adjust bandwidth allocation and packet prioritization. When congestion is detected, the system feedback-driven adjustments to maintain quality of service for premium low-latency flows while managing overall resource allocation efficiency.
3Adaptability or versatility
If transmission medium resources are allocated between multiple services and subscribers, then shared access is enabled, but available bitrate for each flow is reduced when congestion occurs
Solution Approach 1:
The patent applies dynamics by implementing dynamic bandwidth allocation that adjusts resource distribution based on real-time network conditions and subscriber-tier classifications. The system dynamically modifies bitrate allocation for different subscriber categories depending on congestion levels, service priorities, and demand patterns, allowing the transmission medium to efficiently support multiple services while maintaining adequate speeds for critical low-latency applications.
Data Source
AI summary
Systems, methods and computer readable media can be operable to apportion a transmission medium's available resources between multiple subscribers and to allocate a subscriber's apportioned resources between a plurality of sub-flows. The available resources of a transmission medium can be apportioned between subscribers receiving data through the transmission medium and the resources apportioned to a subscriber can be allocated to different data flows by giving priority to low-latency data packets over normal-latency data packets.