Dynamic Thresholds for Non-Mobility Handovers in 5G Networks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 5G and next generation wireless communication systems face challenges in managing non-mobility handovers efficiently, leading to cell congestion and suboptimal resource allocation.
Innovation Solution
The implementation of dynamic congestion thresholds for non-mobility handovers in 5G networks, which allows for real-time adjustment of handover thresholds based on current network conditions, thereby optimizing resource allocation and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static handover thresholds are used, then system simplicity is maintained, but cell congestion occurs and resource allocation becomes suboptimal
Solution Approach 1:
The patent implements dynamic handover thresholds that automatically adjust based on real-time network conditions such as cell load, user density, and signal quality. This transforms static threshold values into adaptive parameters that respond to changing network states, thereby improving resource allocation efficiency while managing complexity through automated algorithms
Solution Approach 2:
The system changes the parameter values of handover thresholds dynamically based on network conditions. By modifying threshold parameters in response to measured network states (e.g., adjusting thresholds when cell load exceeds certain levels), the system optimizes resource allocation without requiring manual intervention, resolving the contradiction between efficiency and complexity
2Productivity
If frequent handovers are performed, then load balancing improves, but network overhead increases and stability decreases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors network conditions and handover performance, then adjusts handover thresholds accordingly. This feedback loop prevents excessive handovers by learning from past handover outcomes and adapting thresholds to maintain optimal stability, thereby improving load balancing without sacrificing connection reliability
Solution Approach 2:
The system performs handover threshold adjustments at periodic intervals based on network condition assessments rather than continuously or on every event. This periodic action reduces unnecessary handovers while maintaining effective load balancing, as thresholds are updated at optimal moments rather than reacting to every minor fluctuation
3Adaptability or versatility
If manual threshold adjustment is used, then control precision is maintained, but operational complexity increases and real-time adaptation is lost
Solution Approach 1:
The patent enables the network system to automatically adjust handover thresholds based on self-monitored network conditions without requiring manual operator intervention. The system serves itself by detecting network states and autonomously modifying thresholds, achieving real-time adaptation while simplifying operations through elimination of manual configuration requirements
Solution Approach 2:
Through continuous feedback from network condition monitoring, the system automatically adjusts thresholds in real-time based on actual network performance. This feedback-driven automation provides both real-time adaptability and operational simplicity, as the system learns and adapts without human intervention
Data Source
AI summary
The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a first performance characteristic of first base station equipment, wherein the first base station equipment is actively communicating with a user equipment via a first network connection. The method can further include, based on the first performance characteristic being in a condition in relation to a first threshold, determining, by the system, to execute a handover of the user equipment to a second network connection with second base station equipment, resulting in a handover determination. Further, the method can include, based on the handover determination, facilitating, by the system, executing the handover of the user equipment to the second network connection.