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metadata
title: UL Interference Analyzer
emoji: 📶
colorFrom: blue
colorTo: indigo
sdk: gradio
app_file: app.py
pinned: false
sdk_version: 6.15.1
UL Interference Analyzer
AI-assisted LTE and 5G uplink interference analysis using RF KPI and PM counter indicators.
Overview
UL Interference Analyzer evaluates uplink radio conditions using commonly monitored LTE and 5G RAN KPIs including:
- UL SINR
- RTWP
- PUSCH BLER
- UL/DL PRB utilization
- CQI
The application applies engineering threshold logic to classify potential uplink interference conditions, congestion scenarios, and RF degradation patterns.
Features
- RF KPI threshold analysis
- Uplink interference detection
- Capacity congestion differentiation
- Severity grading
- Engineering action recommendations
- Structured operational output
Example KPIs
UL SINR = -8
PUSCH BLER = 41
RTWP = -94
UL PRB = 72
DL PRB = 35
CQI = 3
Example Output
- LIKELY UL INTERFERENCE
- HIGH Severity
- Recommended RF engineering actions
KPI Threshold Examples
| KPI | Threshold | Interpretation |
|---|---|---|
| UL SINR | < 0 dB | Potential uplink degradation |
| UL SINR | < -5 dB | Severe uplink impairment |
| RTWP | > -100 dBm | Elevated uplink noise floor |
| RTWP | > -95 dBm | Severe interference indication |
| PUSCH BLER | > 15% | Elevated uplink retransmissions |
| PUSCH BLER | > 30% | Critical uplink quality issue |
| UL PRB | > 85% | Potential uplink congestion |
| CQI | < 5 | Poor radio quality indication |
Potential Use Cases
- LTE RAN troubleshooting
- 5G uplink diagnostics
- RF optimization workflows
- PM counter analysis
- Network operations support
- Private wireless operational analysis
Current Scope
This project currently uses rule-based engineering logic and static KPI interpretation.
Future enhancements may include:
- Historical KPI trend analysis
- Vendor-specific logic
- Multi-sector correlation
- AI-assisted recommendation engines
- RAG integration for operational runbooks
Technology Stack
- Python
- Gradio
- Hugging Face Spaces
Application Preview
UL Interference Detection
Capacity Congestion Detection
Disclaimer
This project is intended for demonstration and operational workflow prototyping purposes only.

