Dynamic Cell Carrier Prioritization for 5G Traffic Steering
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Solution Overview
Problem
Current 5G networks face inefficiencies in traffic steering due to static cell carrier prioritization, which can lead to suboptimal service performance and network resource misuse, as users are not dynamically directed to the most suitable cell carriers based on their specific needs and network conditions.
Innovation Solution
Implementing a dynamic cell carrier prioritization system using Subscriber Priority Identity (SPID) ranges, where network performance is continuously monitored, and UE devices are dynamically reassigned to cell carriers with better performance characteristics, optimizing traffic distribution through a closed-loop self-optimizing network architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static cell carrier prioritization is used, then network configuration is simple and easy to manage, but traffic steering efficiency deteriorates and users cannot be dynamically directed to suitable cell carriers
Solution Approach 1:
The patent implements dynamic cell carrier prioritization by introducing a network node that continuously monitors network conditions and dynamically adjusts cell carrier priority values. This allows the system to adapt traffic steering in real-time based on current network state, user locations, and service requirements, transforming the static prioritization mechanism into a dynamic one that improves traffic steering efficiency without requiring complex manual reconfiguration.
Solution Approach 2:
The patent establishes a feedback loop where the network node monitors network conditions, user equipment performance, and cell carrier status, then uses this information to dynamically adjust cell carrier prioritization. This closed-loop control system enables automatic optimization of traffic steering based on actual network performance, resolving the contradiction between simplicity and efficiency by using automated feedback-driven adjustments rather than complex manual configuration.
2Reliability
If dynamic cell carrier prioritization is implemented, then users can be directed to optimal cell carriers improving service performance, but network architecture complexity increases
Solution Approach 1:
The patent implements a self-optimizing network architecture where the network node automatically monitors conditions, determines optimal cell carrier assignments, and adjusts prioritization without external intervention. This self-service mechanism improves service performance dynamically while managing architecture complexity through automation rather than manual control, allowing the system to adapt to changing conditions autonomously.
Solution Approach 2:
The patent introduces a specialized network node that acts as an intermediary between user equipment and cell carriers. This intermediary node handles the complexity of dynamic prioritization calculations, condition monitoring, and priority adjustments, isolating the complexity from the overall network architecture while enabling improved service performance through intelligent traffic steering.
3Productivity
If continuous network monitoring is performed, then optimal traffic distribution can be achieved, but network resource consumption increases
Solution Approach 1:
The patent implements periodic monitoring and adjustment cycles where the network node evaluates network conditions at defined intervals rather than continuously. This periodic action allows the system to achieve optimal traffic distribution through regular updates while reducing network resource consumption by avoiding constant monitoring and adjustment operations, balancing optimization performance with resource efficiency.
Data Source
AI summary
For carrier's that have a large number of user equipment (UE) devices camped on them, the experience of a user equipment devices that utilize a subscriber prioritization identity (SPID) can be of a lower quality than it would be on another lower priority carrier because of the carrier load. Thus, SPID based UEs can be placed on carriers with the best throughput potential in the uplink. To achieve this, a SPID profile for the SPID based UE can be dynamically changed such the SPID based UE can transition to a carrier of better quality. UE devices are grouped per SPID ranges and each SPID has assigned cell carrier priority. In one embodiment, a system optimization network can monitor and detect UE performance on each cell and determine which cells are underperforming and which cells are performing better than other cells.