Dynamic Uplink Downlink Ratio Adjustment for Network Nodes
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Solution Overview
Problem
Conventional telecommunications networks are unable to predict or dynamically adjust to changes in uplink and downlink usage patterns based on location and time of day, leading to inefficiencies in resource allocation.
Innovation Solution
Collecting and aggregating historical data on uplink and downlink usage to dynamically adjust the downlink/uplink ratio of nodes, allowing them to anticipate and adapt to specific usage patterns at different locations and times, thereby optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional telecommunications networks use fixed resource allocation, then network operation is simple and stable, but resource allocation efficiency deteriorates when usage patterns change
Solution Approach 1:
The patent implements dynamic resource allocation by adjusting the downlink/uplink time slot ratio based on observed usage patterns. The system transitions from fixed resource allocation to dynamic adjustment, where the resource allocation ratio changes according to time of day, day of week, and location-specific traffic characteristics, thereby improving resource allocation efficiency without requiring complex manual intervention
Solution Approach 2:
The system performs preliminary analysis of historical usage data to identify patterns in uplink and downlink traffic. By pre-processing and analyzing usage data to determine optimal allocation ratios before implementing changes, the system anticipates future resource needs and adjusts allocations proactively, improving efficiency while maintaining operational simplicity
2Measurement precision
If historical data collection and analysis is implemented, then resource allocation accuracy improves, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring actual usage patterns and comparing them against predicted patterns. Historical usage data is collected, analyzed to identify trends, and used to adjust resource allocation ratios. This closed-loop feedback process improves prediction accuracy while maintaining manageable complexity through automated analysis
Solution Approach 2:
The network system performs self-analysis of its own usage data to identify patterns and automatically adjust resource allocation. By enabling the system to analyze its own operational data and make self-adjustments without external intervention, the patent improves measurement precision while minimizing the complexity burden on external systems
Data Source
AI summary
According to aspects herein, methods and systems for dynamic resource sharing based on location and time of day are provided. Historical data corresponding to a node providing service to one or more UEs is initially collected and aggregated over a period of time. Based on trends identified in the historical data corresponding to uplink usage and downlink usage, a downlink/uplink ratio of the node is dynamically adjusted. This enables the node to anticipate the appropriate downlink/uplink ratio for a particular location and a particular time of day, resulting in efficiency gains that can be realized by the UEs.