Communication Network Control Apparatus for QoS Stabilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing feedback control mechanisms in communication networks struggle to stabilize Quality of Service (QoS) performance, particularly end-to-end latency, due to changes in traffic-related parameters and non-negligible control delays, which affect the determination and implementation of control values for achieving target QoS setpoints.
Innovation Solution
A control apparatus comprising a processor and memory modules that monitor traffic-related parameters and control delays, allowing for the correction of control values to compensate for changes in traffic patterns and delays, ensuring consistent QoS performance by adjusting network resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If feedback control is used to achieve target QoS performance, then QoS performance can be improved, but control delay affects the stability and effectiveness of the control
Solution Approach 1:
The control value is determined in advance based on the setpoint and current traffic-related parameters before the control delay occurs. This preliminary determination allows the system to prepare control actions that will be effective when actually applied, compensating for the time lag in the feedback loop.
Solution Approach 2:
The control value is dynamically adjusted based on changing traffic-related parameters. The system continuously monitors parameters such as data size, data rate, and communication interval, and modifies the control value accordingly to maintain QoS performance despite variations in traffic conditions and control delay.
2Productivity
If control value is determined based on current traffic parameters, then QoS can be optimized, but changes in traffic-related parameters during control delay render the control value ineffective
Solution Approach 1:
The control value is made dynamic by continuously adapting it to changing traffic-related parameters. The system monitors parameters such as data size, data rate, and communication interval, and adjusts the control value in real-time to maintain effectiveness despite traffic variations.
Solution Approach 2:
The system uses feedback from monitored traffic-related parameters to continuously adjust the control value. By comparing actual traffic conditions with expected conditions, the system modifies control actions to compensate for parameter changes that occurred during the control delay period.
Data Source
AI summary
A control apparatus (40) determines a control value to be supplied to a node (604) in a communication network so as to achieve a setpoint of Quality of Service (QoS) performance required by a traffic flow transferred through the communication network. This control value causes the node (604) to adjust allocation of network resources to the traffic flow. The control apparatus (40) corrects the control value to be supplied to the node (604) on the basis of a control delay between the control apparatus (40) and the node (604) and on the basis of a trend in changes in a traffic-related parameter. It is thus, for example, possible to contribute to stabilizing control for guaranteeing QoS performance required by a traffic flow even when there is a non-negligible control delay.