LTE Switch-Router Scheduler for Traffic Engineering
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Solution Overview
Problem
Current IP network traffic engineering methods struggle to efficiently calculate bandwidth profile parameters for each service class, leading to over-provisioning and inefficient resource allocation, especially in 3GPP LTE networks with varying Quality of Service (QoS) requirements.
Innovation Solution
Implementing a two-stage scheduler in LTE switch-routers aligned with the DiffServ-TE framework, calculating Committed Information Rate (CIR) and Peak Information Rate (PIR) for each traffic class, and dynamically partitioning network capacity using Ethernet Virtual Connections (EVCs to ensure appropriate QoS for conversational, IMS, buffered streaming, and interactive traffic classes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional IP network traffic engineering methods are used, then network capacity is provisioned to handle peak traffic, but network resources are over-provisioned leading to inefficient allocation
Solution Approach 1:
The patent segments network traffic into different service classes (e.g., conversational, IMS, buffered streaming, interactive) and applies differentiated bandwidth management to each class. This allows the network to provision capacity based on actual service requirements rather than peak aggregate demand, eliminating over-provisioning while maintaining QoS guarantees for each traffic type.
Solution Approach 2:
The patent dynamically adjusts bandwidth profile parameters (CIR, PIR, CBS, EBS) for different service classes based on traffic conditions and QoS requirements. By changing these parameters adaptively rather than using fixed over-provisioned capacity, the network achieves efficient resource allocation without sacrificing service quality.
2Reliability
If bandwidth is partitioned to guarantee QoS for each service class, then service quality is improved, but network configuration complexity increases
Solution Approach 1:
The patent implements a universal bandwidth management framework that handles multiple service classes (conversational, IMS, buffered streaming, interactive) through a common set of mechanisms and parameters. This multi-functional approach allows single network elements to serve diverse QoS requirements without requiring separate complex configurations for each service type, reducing overall configuration complexity while maintaining reliable QoS guarantees.
3Adaptability or versatility
If static bandwidth allocation is used, then network configuration is simple, but the network cannot adapt to changing traffic patterns
Solution Approach 1:
The patent employs dynamic bandwidth allocation where bandwidth profile parameters are adjusted based on actual traffic conditions and service demands. The system continuously monitors traffic patterns and modifies CIR, PIR, and other parameters adaptively, enabling the network to respond to changing conditions without requiring complex manual reconfiguration, thus achieving both adaptability and manageable complexity.
Data Source
AI summary
Systems and methods are described that provide network traffic engineering that obviate network over-provisioning by providing QoS to each traffic class. Embodiments dimension switching router LTE schedulers to ensure that each traffic class receives an appropriate QoS in terms of delay, jitter, Packet Loss Ratio and throughput. In addition to guaranteeing QoS, embodiments optimize transport cost, optimize switch-router port deployment, and work on top of IETF standards, IEEE standards, and MEF standards.