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| 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 | |
| ```text | |
| 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. |