AMF Location-Based QoS Optimization for Wireless Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current network management systems face inefficiencies in allocating guaranteed bit rate (GBR) and non-GBR resources in wireless networks, particularly due to sensitivity to user density and radio network loading, which can lead to unnecessary deployment of GBR resources, affecting Quality of Service (QoS) for applications like video calling.
Innovation Solution
Implementing a location-based optimization system that uses real-time channel quality information and signal-to-noise ratio data to determine a quality factor for geographical spaces, allowing the access and mobility management function to dynamically allocate GBR and non-GBR resources based on the quality factor, reducing unnecessary resource allocation and improving QoS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If GBR resources are deployed to ensure QoS for applications like video calling, then service reliability is improved, but network resource efficiency deteriorates due to unnecessary deployment in areas with good network conditions
Solution Approach 1:
The patent applies local quality by determining location-specific quality factors for different geographical spaces based on real-time channel quality and signal-to-noise ratio measurements. The system allocates GBR resources only in specific locations where the quality factor indicates degraded network conditions, rather than uniformly across all areas. This localized approach ensures QoS reliability where needed while avoiding unnecessary resource consumption in areas with good network conditions.
Solution Approach 2:
The patent implements dynamics by continuously monitoring real-time channel quality and signal-to-noise ratio, and dynamically adjusting resource allocation based on changing network conditions. The quality factor is recalculated as network conditions evolve, allowing the system to adaptively switch between GBR and non-GBR resource allocation modes. This dynamic adjustment optimizes the balance between QoS reliability and resource efficiency as conditions change.
2Loss of energy
If location-based optimization is implemented to improve resource efficiency, then network resource efficiency is improved, but system complexity increases due to real-time monitoring and quality factor calculation
Solution Approach 1:
The patent applies self-service by utilizing existing network infrastructure and measurement capabilities to automatically determine quality factors and trigger resource allocation decisions. The system leverages real-time channel quality and signal-to-noise ratio measurements that are already being collected for other network functions, eliminating the need for separate complex monitoring systems. This self-service approach improves resource efficiency while minimizing the addition of system complexity.
3Productivity
If real-time quality factor determination is used to optimize resource allocation, then resource allocation efficiency is improved, but measurement and detection difficulty increases due to real-time channel quality monitoring requirements
Solution Approach 1:
The patent applies universality by using multi-functional measurements of channel quality and signal-to-noise ratio that serve multiple purposes. These measurements are not only used for determining quality factors and optimizing resource allocation but also support other network functions such as handover decisions, link adaptation, and overall network performance monitoring. This multi-functional approach improves resource allocation efficiency while reducing the burden of separate measurement systems.
Data Source
AI summary
An access and mobility management function (AMF) of a server system can receive performance parameters and location information from a user device. The performance parameters can describe the quality of a wireless connection of the user device on the telecommunications network. The server system can determine a geographical space associated with the user device based on the location information of the user device. The server system can determine a quality factor for the geographical space associated with the user device. The quality factor indicates whether a user device located within the geographical space should be allocated with guaranteed bit rate (GBR) resources or non-guaranteed bit rate (non-GBR) resources. The AMF can transmit a message including the quality factor to a core network function of the server system. The core network function can optimize the allocation of GBR and non-GBR resources for the geographical space based on the quality factor.