Network Device Scoring Using Signal Metrics for Resource Allocation
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Solution Overview
Problem
Existing technologies lack effective methods for monitoring and optimizing the performance of devices in communication networks, leading to resource strain and performance degradation.
Innovation Solution
A system and method for evaluating device performance in a network by identifying user devices, calculating scores based on parameters like RSRP, SINR, CQI, and RSRQ, and categorizing devices based on these scores to optimize network resources and deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the network services more user devices, then the network capacity is increased, but the network performance degrades due to resource strain
Solution Approach 1:
The system collects performance measurements from user devices and network nodes, processes this feedback data to identify performance degradation patterns, and uses this information to optimize network resource allocation and device categorization, thereby maintaining network performance despite increased device density
Solution Approach 2:
The system changes the approach from treating all devices uniformly to categorizing devices based on their performance parameters (RSRP, SINR, CQI, RSRQ). By adjusting resource allocation policies based on device performance categories, the network can maintain optimal performance while serving more devices
2Measurement precision
If network providers collect and evaluate device parameters, then device performance monitoring is improved, but system complexity increases
Solution Approach 1:
The system uses a unified evaluation framework that handles multiple performance parameters (RSRP, SINR, CQI, RSRQ) and multiple device types through a single processing architecture. The common processing unit handles diverse measurement data using consistent algorithms, reducing the need for separate monitoring systems for different parameters and device types
Solution Approach 2:
The system creates a virtual representation of device performance through standardized measurement protocols and data models. By using standardized templates for collecting and processing performance data across different devices, the system reduces complexity while maintaining comprehensive monitoring capabilities
Data Source
AI summary
The present disclosure method (600) for evaluating performance of one or more user devices (106) in a network (108). The method comprising identifying (602) a geographical region, identifying (604) one or more user devices (106) communicatively coupled to the network (108) in the geographical region and receiving (606) a sample data related to parameters associated with the one or more user devices (106). The method comprising receiving (608) a threshold value related to each parameter of the parameters for the evaluation, obtaining (610) a weightage value associated with each parameter. The method comprising calculating (612) a score for each of the one or more user devices (106) using the one or more parameters based on a processing of the sample data, the threshold value, and the weightage value corresponding to each parameter and evaluating (614) the performance of the one or more user devices (106) based on the calculated score.