Can you recommend an RF analytics software for detecting congestion and outages in a large mobile carrier network?

Yes — for a large mobile carrier network, the best fit is usually an RF analytics / service assurance platform that can ingest RAN KPIs, counters, alarms, traces, and sometimes UE/location data to detect congestion, cell outages, and coverage degradation in near real time.

Strong options to consider

1. Nokia AVA / NetAct analytics

• Good for: mobile operator-scale RAN analytics
• Strengths:
  • Detects cell outages, congestion, and performance anomalies
  • Works well in Nokia-heavy environments
  • Strong integration with RAN OSS / assurance workflows
• Best if: your network is already Nokia-based

2. Ericsson Expert Analytics / ENM analytics

• Good for: large-scale RAN service assurance
• Strengths:
  • AI/ML-driven anomaly detection
  • Correlates radio, transport, and core issues
  • Useful for proactive outage/congestion detection
• Best if: you run a significant Ericsson RAN footprint

3. Amdocs Network Insights / Service Assurance

• Good for: cross-domain analytics
• Strengths:
  • More vendor-agnostic
  • Correlates RF, customer experience, alarms, and topology
  • Useful for identifying where congestion is happening and who is impacted
• Best if: you need multi-vendor visibility

4. Cisco Splunk + telecom RF analytics apps / custom ML

• Good for: flexible analytics and rapid dashboarding
• Strengths:
  • Ingests many data sources
  • Strong for alerting, correlation, and visualization
  • Can be extended with custom models for outage/congestion detection
• Best if: you have a strong data engineering team and want flexibility

5. Subex HyperSense / Celcite-style analytics

• Good for: telecom assurance and RAN performance
• Strengths:
  • KPI-based detection and correlation
  • Useful for operational troubleshooting
• Best if: you want a telecom-focused assurance platform with broad coverage

6. Keysight / VIAVI / Rohde & Schwarz analytics tools

• Good for: RF testing and optimization
• Strengths:
  • Excellent for field/RF validation, drive test, and interference analysis
  • Great for root cause analysis
• Limitation:
  • Usually not the primary “network-wide congestion/outage detection” platform
• Best if: you need engineering-grade RF troubleshooting alongside assurance

My practical recommendation

If your goal is specifically:

• detect congestion early
• find cell/site outages quickly
• operate at carrier scale
• support multi-vendor RAN

then I’d shortlist:

1. Ericsson Expert Analytics or Nokia AVA
   • if you’re mainly one-vendor
2. Amdocs Network Insights
   • if you’re multi-vendor and want correlation across domains
3. Splunk-based solution
   • if you want maximum flexibility and already have data platform maturity

What to look for in the software

Make sure it can do these well:

• Real-time KPI ingestion from RAN OSS / PM counters
• Anomaly detection for:
  • PRB utilization spikes
  • access failures
  • drops in throughput
  • sudden traffic loss
  • sector/cell silent failures
• Topology-aware correlation
• Geo-based visualization
• Alarm + KPI fusion
• Historical baselining by time of day/day of week
• Multi-vendor support
• APIs/export for integration into your NOC tools

If you want a single “best overall” pick

For a large carrier network, I’d usually say:

• Best enterprise telecom assurance choice: Amdocs Network Insights
• Best if vendor-specific RAN: Ericsson Expert Analytics or Nokia AVA
• Best if you want to build your own analytics layer: Splunk

If you tell me:

1. your main RAN vendor(s),
2. LTE/5G mix,
3. whether you want real-time detection or offline analysis, and
4. whether you already use a platform like Splunk, Kafka, or Databricks,

I can narrow this to the top 2–3 options for your situation.