Multi-Access Traffic Shaping for Time-Sensitive QoS
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Solution Overview
Problem
Existing communication technologies face challenges in efficiently managing multiple access networks to provide high-quality service and support time-sensitive applications, particularly in dynamic network conditions, with limitations in bandwidth estimation and traffic management across diverse radio access technologies.
Innovation Solution
The implementation of Multi-Access Management Services (MAMS) frameworks, enhanced with traffic shaping functions and congestion control mechanisms, allows for intelligent traffic distribution across multiple paths, incorporating bandwidth estimation techniques that adapt to changing network conditions, ensuring high throughput, low latency, and reliable data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple access networks are used for data transmission, then network throughput and reliability are improved, but traffic management complexity and bandwidth estimation difficulty increase
Solution Approach 1:
The patent introduces a multi-access management service (MAMS) framework that acts as an intermediary between multiple access networks and applications. This framework includes a convergence layer that统一管理 traffic across different access networks (3GPP and non-3GPP), simplifying the complexity by providing a unified interface while maintaining reliable multi-path transmission. The MAMS framework coordinates traffic distribution, bandwidth estimation, and path selection centrally, reducing the burden on individual network elements.
Solution Approach 2:
The patent segments the network architecture into distinct functional layers: access networks, convergence layer (MAMS framework), and application layer. This segmentation allows each layer to handle specific tasks independently - access networks provide raw transmission capacity, the convergence layer manages traffic distribution and bandwidth estimation, and applications receive guaranteed service quality. This modular approach reduces overall system complexity while improving reliability.
2Measurement precision
If bandwidth estimation is performed in dynamic network conditions, then traffic distribution accuracy is improved, but measurement and control difficulty increase
Solution Approach 1:
The patent implements feedback mechanisms where the MAMS framework continuously monitors network conditions, bandwidth utilization, and transmission performance across multiple access networks. This feedback information is used to dynamically adjust traffic distribution policies and update bandwidth estimates. The system measures actual throughput, latency, and packet loss, then uses this information to refine bandwidth predictions and optimize traffic routing in real-time, improving measurement accuracy despite dynamic conditions.
Solution Approach 2:
The patent performs preliminary bandwidth estimation and path quality assessment before actual data transmission begins. The MAMS framework proactively probes available bandwidth on each access network path and pre-configures traffic distribution policies based on predicted conditions. This preliminary action allows the system to prepare optimal routing decisions in advance, reducing the difficulty of real-time measurement and control during actual transmission.
3Reliability
If real-time traffic is prioritized, then quality of service for time-sensitive applications is improved, but overall network utilization efficiency may decrease
Solution Approach 1:
The patent applies local quality differentiation by providing enhanced service quality specifically for real-time and time-sensitive traffic flows while maintaining standard service for other traffic. The MAMS framework identifies time-sensitive applications (voice, video, gaming) and applies specialized handling including priority queuing, guaranteed bandwidth allocation, and preferential path selection only to these flows. Non-time-sensitive traffic uses available capacity without special treatment, maintaining overall network efficiency while ensuring QoS for critical applications.
Solution Approach 2:
The patent implements dynamic traffic classification and priority adjustment based on current network conditions and application requirements. The MAMS framework can adaptively change which traffic receives priority treatment depending on network load, available bandwidth, and time-sensitive application demands. This dynamic approach allows the system to maintain high QoS for time-sensitive traffic when needed while optimizing overall network utilization during periods of lower demand or excess capacity.
Data Source
AI summary
The present disclosure is related to multi-access traffic shaping mechanisms and data rate and/or bandwidth estimation techniques. The traffic shaping and rate/bandwidth techniques may be used in Multi-Access Management Services (MAMS) framework, which is a programmable framework that provides mechanisms for the flexible selection of network paths in a multi-access (MX) communication environment, based on an application's needs. Other embodiments may be described and/or claimed.