NRF Dynamic Time Parameter Determination for 5G Networks
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Solution Overview
Problem
Current 5G communications networks face connectivity and timing issues due to statically configured time-related parameter values that are not adaptive to dynamic network conditions, leading to inefficiencies in NF operations and resource utilization.
Innovation Solution
Implementing a method within the Network Function Repository Function (NRF) to dynamically determine time-related parameter values using network information and NF information from data sources like NWDAF or NF data providers, adjusting parameters such as heartbeat intervals, subscription validity times, and access token expiry times based on real-time conditions to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If statically configured time-related parameter values are used in 5G networks, then network operation simplicity is maintained, but timing issues and connectivity problems occur due to inability to adapt to dynamic network conditions
Solution Approach 1:
The patent implements dynamic determination of time-related parameter values by the NRF based on current network conditions and NF information, replacing static configuration. The NRF dynamically adjusts parameters such as heartbeat intervals, subscription validity times, and access token expiry times according to real-time network state, enabling the system to adapt to changing conditions while maintaining operational simplicity for NFs.
Solution Approach 2:
The NRF autonomously determines appropriate time-related parameter values without requiring external intervention or complex configuration from NFs. By centralizing the parameter determination function in the NRF, the system eliminates the need for each NF to independently manage timing parameters, reducing overall system complexity while improving adaptability.
2Productivity
If static time-related parameter values are used, then configuration simplicity is maintained, but traffic processing load increases and congestion occurs due to inefficient timing
Solution Approach 1:
The system implements feedback mechanisms where the NRF continuously monitors network conditions and NF performance metrics, then adjusts time-related parameter values accordingly. This closed-loop control enables the network to respond to changing conditions in real-time, optimizing traffic processing efficiency and preventing congestion by adapting timing parameters to current load levels.
Solution Approach 2:
The patent dynamically changes time-related parameters (heartbeat intervals, subscription validity times, access token expiry times) based on network conditions and NF information. By adjusting these parameters according to real-time data, the system optimizes traffic processing throughput and reduces timing inefficiencies that would otherwise lead to congestion and performance degradation.
Data Source
AI summary
One method for determining time related parameter values for a communications network occurs at network function (NF) repository function (NRF) including at least one processor. The method includes receiving, from a first NF, a service request message. The method further includes determining, using network information and/or NF information, a time related parameter value associated with the service request message. The method further includes generating and sending, to the first NF, a service response message indicating the time related parameter value.