Physical Layer Session Resource Broker for Dynamic Network Optimization
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Solution Overview
Problem
Current session resource brokers are limited to optimizing resources at higher protocol stack layers and cannot adapt physical layer resources to meet the specific needs of users or applications, restricting the potential for higher data rates and quality of service.
Innovation Solution
A session resource broker that translates quality parameters into physical layer parameters, allowing for optimization of the physical layer for each application session, including adjustments such as latency, bit error rate, and link symmetry, enabling users to tailor their connections for specific applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If session resource broker optimizes only at higher protocol stack layers with fixed physical layer resources, then resource control is simplified, but the ability to enable higher rates and optimize quality of service is limited
Solution Approach 1:
The patent implements dynamic adaptation of physical layer parameters by introducing a physical layer session resource broker that can modify parameters such as noise margin, interleaving depth, and modulation scheme in real-time based on application requirements. This transforms the previously static physical layer configuration into a dynamic system that adapts to different service needs, enabling higher data rates when conditions permit while maintaining robustness when needed.
Solution Approach 2:
The core invention involves changing physical layer parameters (noise margin, interleaving depth, modulation order, coding rate) based on application-specific quality of service requirements. The session resource broker translates application layer quality parameters into corresponding physical layer parameter values, allowing the system to optimize performance by adjusting these parameters dynamically rather than being constrained to fixed configurations.
2Reliability
If physical layer parameters are optimized for each application session, then quality of service is improved, but system complexity and management overhead increase
Solution Approach 1:
The patent introduces a session resource broker as an intermediary component between the application layer and the physical layer. This broker receives quality of service requirements from application servers, translates them into appropriate physical layer parameter values, and imposes these parameters on access nodes. This intermediary simplifies the overall system architecture by centralizing the complexity of parameter translation and management, rather than requiring complex interactions between multiple components.
Solution Approach 2:
The session resource broker serves multiple functions: it acts as a translation engine between application layer quality parameters and physical layer parameters, functions as an admission controller for new sessions, and serves as a centralized management point for all application servers requiring quality of service. This multi-functional design consolidates several necessary functions into a single component, reducing overall system complexity while enabling sophisticated physical layer optimization.
3Stability of the object's composition
If noise margin is increased for stable video delivery, then connection stability is improved, but attainable bitrate decreases
Solution Approach 1:
The system dynamically adjusts the noise margin parameter based on the specific application requirements and current channel conditions. For video delivery applications requiring high stability, the session resource broker increases the noise margin to prevent connection interruptions. For applications prioritizing data rate such as file transfers or streaming where some error tolerance is acceptable, the broker reduces the noise margin to maximize attainable bitrate. This dynamic adjustment resolves the contradiction by allowing the system to optimize for stability or speed depending on application needs.
Solution Approach 2:
Different noise margin values are applied locally to different application sessions based on their specific quality of service requirements. Video conferencing sessions receive higher noise margins for stability, while less sensitive applications receive lower margins to maximize throughput. This localized parameter optimization allows each application to operate at its optimal point on the stability-bitrate trade-off curve rather than using a single global configuration.
4Reliability
If interleaving depth is increased to reduce bit errors, then error rate is improved, but latency increases
Solution Approach 1:
The session resource broker dynamically changes the interleaving depth parameter based on application requirements. For applications highly sensitive to bit errors such as video conferencing or real-time control, the broker increases interleaving depth to spread out burst errors and reduce their impact. For applications sensitive to latency such as interactive gaming or real-time control where timely delivery is more critical than perfect accuracy, the broker reduces interleaving depth to minimize processing delay. This parameter adaptation resolves the contradiction by allowing the system to optimize for either error rate or latency depending on application priorities.
Data Source
AI summary
The physical layer session resource broker (PHY SRB) according to the invention receives request from application servers (VOD SERVER, TV BRDCST SERVER, GAME SERVER, WEB SERVER) which are translated into physical layer parameter values. The physical layer parameter values are imposed on the access nodes (DSLAM) by the physical layer session resource broker (PHY SRB).