CPE Performance Optimization via RAN UE ID Correlation
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Solution Overview
Problem
Current 5G wireless network deployments face challenges in dynamically optimizing customer premises equipment (CPE) performance due to the inability to uniquely identify CPEs within the RAN domain, leading to inadequate mitigation actions based on Service Level Agreements (SLAs) and reactive rather than preventive approaches.
Innovation Solution
The method involves correlating key performance indicators (KPIs) measured by CPE management and RAN management entities to uniquely identify CPEs, allowing for targeted RAN mitigation actions based on per-CPE SLAs, and using CPE prediction models to assist RAN mitigation, enabling proactive performance optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RAN nodes monitor RAN KPIs based on default RAN criteria, then RAN degradation can be detected, but mitigation actions cannot be taken based on per-CPE SLA violations because CPE SLA information is not shared with RAN nodes
Solution Approach 1:
The patent introduces an intermediary mechanism (FWA analytics engine or identification module) that receives both CPE SLA information from the CPE management entity and RAN KPIs from RAN nodes, performs correlation and identification, and then triggers appropriate mitigation actions. This intermediary bridges the information gap between isolated RAN monitoring and CPE-specific SLA requirements.
2Measurement precision
If FWA analytics engine monitors CPE KPIs and detects SLA violations, then per-CPE degradation can be identified, but mitigation actions cannot be taken at CPE/UE level because the analytics engine cannot map SLA degradation to specific CPE acting as UE towards RAN nodes
Solution Approach 1:
The patent implements a feedback loop where the FWA analytics engine continuously monitors CPE KPIs, compares them against SLA thresholds, identifies degraded CPEs, and feeds this information back to trigger targeted mitigation actions at the RAN/CPE interface. The system uses the monitored data to dynamically adjust and apply appropriate mitigation strategies.
Solution Approach 2:
The identification module acts as an intermediary that performs the critical mapping function between FWA analytics engine detected CPE degradations and the corresponding CPE acting as UE in the RAN domain. This intermediary enables the transmission of precise identification information from the analytics engine to the RAN mitigation mechanisms.
3Reliability
If RAN nodes take mitigation actions based on common RAN degradation criteria, then general RAN performance can be maintained, but per-CPE SLA requirements cannot be met because actions are not targeted to specific CPEs
Solution Approach 1:
The patent applies local quality by enabling different mitigation actions to be applied to different CPEs based on their specific SLA requirements and degradation patterns. Instead of uniform RAN-wide mitigation, the system identifies and applies customized mitigation strategies at the individual CPE level, allowing each CPE to receive appropriate treatment according to its specific service level agreement.
Solution Approach 2:
The system dynamically changes operational parameters (mitigation actions) based on identified CPE degradation and specific SLA requirements. The mitigation strategy parameters are adjusted per-CPE rather than using fixed RAN-wide parameters, enabling adaptation to individual CPE needs while maintaining overall RAN stability.
Data Source
AI summary
Various embodiments herein achieve method for optimizing a performance of a customer premises equipment (CPE) in a wireless network by a network apparatus. The method includes receiving a measurement information from at least one CPE. Further, the method includes receiving a measurement information from at least one RAN node. Further, the method includes detecting whether a performance associated with at least one CPE is degraded based on the received measurement information from the at least one CPE. Further, the method includes identifying a RAN UE ID for the at least one CPE whose performance is degraded by correlating the measurement information received from the at least one CPE and the measurement information received from the at least one RAN node. Further, the method includes applying an action based on the identified RAN UE ID.