Dynamic Time Frame Adjustment for EN-DC 5G Band Connectivity
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Solution Overview
Problem
In EN-DC networks, user equipment (UE) often fails to connect to high priority 5G channels within the static time frame allocated, leading to missed opportunities for high capacity bandwidth utilization and reduced throughput due to insufficient time to locate and report available 5G channels.
Innovation Solution
The system dynamically adjusts the time frame for UE to connect to high priority 5G bands based on performance indicators, allowing more instances to connect and optimize resource allocation and throughput by increasing or decreasing the time frame depending on key performance thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static time frame is given to UE to locate and report 5G channels, then the system configuration is simple and stable, but the UE may not have enough time to locate each 5G channel and report back, resulting in failed connections to high priority 5G bands
Solution Approach 1:
The patent applies dynamics by transitioning from a static time frame configuration to a dynamic one where the time frame is adjusted based on real-time performance measurements. The eNodeB monitors the success rate of UE connections to 5G high priority bands and dynamically modifies the time frame parameter accordingly, allowing the system to adapt to varying channel conditions and UE capabilities.
Solution Approach 2:
The patent implements feedback mechanisms where the eNodeB receives measurement reports from UEs regarding 5G channel availability and connection success. This feedback loop enables the eNodeB to assess whether the current time frame is sufficient and to adjust it in subsequent configurations, creating a closed-loop control system that continuously optimizes connection success rates.
2Reliability
If the time frame is increased to allow UE more time to locate 5G channels, then UE connection success rate improves, but system complexity increases due to dynamic adjustment requirements
Solution Approach 1:
The system applies self-service by enabling the eNodeB to automatically monitor performance metrics and adjust time frame parameters without requiring manual intervention or complex external control systems. The eNodeB uses built-in measurement and evaluation capabilities to autonomously optimize the time frame configuration based on observed connection success rates.
Solution Approach 2:
The patent utilizes parameter changes by modifying the time frame parameter based on performance thresholds. When connection success rates fall below a certain threshold, the system increases the time frame parameter; when rates are sufficient, it may maintain or reduce the parameter. This systematic parameter adjustment approach manages complexity through standardized decision rules.
3Productivity
If a static time frame is used, then system operation is simple and stable, but resource allocation is inefficient as high capacity bandwidth may be lost when UE cannot connect in time
Solution Approach 1:
The patent applies dynamics by transitioning from a static time frame configuration to a dynamic one where the time frame is adjusted based on real-time performance measurements. The eNodeB monitors the success rate of UE connections to 5G high priority bands and dynamically modifies the time frame parameter accordingly, allowing the system to adapt to varying channel conditions and UE capabilities.
Solution Approach 2:
The patent implements feedback mechanisms where the eNodeB receives measurement reports from UEs regarding 5G channel availability and connection success. This feedback loop enables the eNodeB to assess whether the current time frame is sufficient and to adjust it in subsequent configurations, creating a closed-loop control system that continuously optimizes connection success rates.
Data Source
AI summary
Systems and methods are provided for dynamically optimizing EN-DC networks and include a first node, a second node, and one or more processors. The one or more processors are configured to receive data indicating that a first set of bands is present within a first sector and determine a high priority band from the first set of bands within the first sector. The system also identifies a first set of devices within a sector and defines a time frame for receiving data indicating a number of instances in which each device connected to the high priority band. A first status report comprising data indicating the number of instances each device connected to the high priority band is received and a performance rating is determined for the high priority band. The time frame for receiving data may be adjusted based on the performance rating and data from the first status report.