5G Scheduling Visualization for Carrier Aggregation Analysis
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Solution Overview
Problem
The complexity of channel scheduling in 5G communication networks makes analyzing wireless communication between devices difficult and time-consuming, particularly due to flexible channel spacing and increased scaling complexity from carrier-aggregation.
Innovation Solution
A method and device for analyzing and visualizing wireless communication by generating a scheduling view from a log file, which includes determining the number of uplink and downlink cells, their numerology, and assigned scheduled items, and displaying this information in a graphical representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If flexible channel spacing and carrier aggregation are implemented in 5G networks, then network capacity and flexibility are improved, but analysis complexity and debugging difficulty increase
Solution Approach 1:
The patent segments the complex scheduling information into multiple visualization layers: cell-level aggregation view, carrier-level frequency view, and slot-level time view. Each layer handles a specific aspect of the scheduling data, making the overall complex information manageable through divided analysis perspectives.
Solution Approach 2:
The patent introduces multiple visualization dimensions including time slots, frequency carriers, and cell indices simultaneously. By displaying scheduling information across these multiple dimensions in an integrated graphical interface, the system transforms complex multi-dimensional data into a comprehensible visual format that reveals patterns invisible in traditional single-dimension logs.
2Productivity
If multiple component carriers are scheduled simultaneously, then network throughput is improved, but identification of scheduling errors becomes more difficult
Solution Approach 1:
The patent employs color-coded visualization where different colors represent different component carriers, scheduling states, and error types. This visual encoding allows operators to quickly distinguish between multiple carriers and identify erroneous scheduling decisions through color patterns, transforming abstract error data into immediately recognizable visual signals.
Solution Approach 2:
The system provides immediate visual feedback by highlighting scheduling decisions and their outcomes in real-time. When scheduling errors occur, the visualization automatically highlights the affected time slots and carriers, providing instant feedback that enables rapid error detection and correction without manual analysis of raw log data.
Data Source
AI summary
A method and a device for analyzing and/or visualizing a wireless communication by a user equipment, UE, are provided. The method includes receiving a log file which includes information on the wireless communication; and analyzing at least a part of the log file to determine: a number of uplink and/or downlink cells which were aggregated during the wireless communication, a numerology for each uplink and/or downlink cell. The numerology defines a number and/or a duration of time slots of the uplink and/or downlink cell, and a number of scheduled items of each uplink and/or downlink cell. Each scheduled item is assigned to at least one time slot of the uplink and/or downlink cell; and the method further includes displaying a scheduling view which shows the time slots of at least one of the number of uplink and/or downlink cells together with their assigned scheduled items in a graphical representation.