Wireless Network Spectral Efficiency Monitoring via Heat Maps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Monitoring spectral efficiency in wireless networks is challenging due to the difficulty in predicting and regulating data rates across individual links, making it hard for network administrators to quickly understand performance metrics and identify issues within the network.
Innovation Solution
A method and system for monitoring spectral efficiency by determining the number of resource blocks and bits transmitted in a wireless network, calculating a spectral efficiency metric, and generating heat maps based on geographic locations, which includes a processor and memory device executing instructions to analyze and visualize this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network administrators monitor individual link performance parameters manually, then measurement precision is improved, but device complexity and time consumption increase significantly
Solution Approach 1:
The patent segments the complex network monitoring task into distinct functional modules: a spectral efficiency calculator that computes efficiency metrics from raw data, a data collector that gathers resource allocation information, and a visualizer that presents results through heat maps. This modular segmentation reduces overall system complexity while maintaining measurement precision.
Solution Approach 2:
The patent introduces an intermediary spectral efficiency calculator that processes raw network data and transforms it into meaningful efficiency metrics. This intermediary layer simplifies the monitoring system by handling complex calculations centrally rather than requiring each monitoring point to perform sophisticated analysis independently.
2Measurement precision
If detailed performance metrics are collected for each call, then measurement precision is improved, but loss of time in processing and analyzing data increases
Solution Approach 1:
The patent performs preliminary calculations by pre-computing spectral efficiency metrics as data is collected, rather than waiting to aggregate all data before analysis. This preliminary action reduces processing time by preparing results incrementally while data collection is ongoing, maintaining precision without proportionally increasing total processing time.
Solution Approach 2:
The patent transforms raw network parameters (resource blocks, power allocation, data rates) into a derived parameter (spectral efficiency) that consolidates multiple performance aspects into a single meaningful metric. This parameter transformation reduces the complexity of data analysis while preserving measurement precision.
3Loss of information
If multiple performance metrics are monitored simultaneously, then information completeness is improved, but difficulty of detecting and measuring issues increases
Solution Approach 1:
The patent merges multiple performance metrics (resource allocation, data rates, power consumption) into a single spectral efficiency metric that captures the overall performance characteristics. This merging maintains information completeness by considering all input parameters while reducing the difficulty of issue detection through unified visualization.
Solution Approach 2:
The patent employs color-coded heat maps to visually represent spectral efficiency variations across different network regions and time periods. This visual encoding transforms complex multi-dimensional performance data into an easily interpretable format where performance issues are immediately detectable through color intensity variations.
Data Source
AI summary
A method for monitoring spectral efficiency in a wireless network includes determining total number of resource blocks or resource elements allocated for each of one or more calls in the wireless network during a given time period and determining a corresponding total number of bits transmitted for each of the one or more calls during the given time period.A spectral efficiency metric is calculated for each of the one or more calls based at least in part on the total number of bits transmitted during the given time period and the total number of resource blocks or resource elements allocated for transmission during the given time period. A heat map for each of the one or more calls is generated based on geographic locations of the one or more calls.