Network Monitoring
on a single cloud-native platform.
What is Network Monitoring?
Network monitoring is the correlation of performance data from every domain on the service path, from the radio access network through the core to the service layer, into a single dataset. Radio trace data is correlated with core signaling and user-plane data, indexed by subscriber and timestamp. A single session can then be analysed across every domain it traverses, identifying within seconds the point at which a degradation originated and the specific cell or network element responsible.
How Can RADCOM Help You?
RADCOM ACE delivers full-stack visibility from the RAN to the core on a single cloud-native platform, with one correlated data source across every domain and service. RADCOM Core Analytics covers the mobile core across all generations, from legacy 2G and 3G through 4G LTE to full 5G Standalone. RADCOM RAN Experience Analytics (REA) adds dedicated radio visibility for RAN engineers, with both RAN-only and end-to-end views at 10-second sub-session granularity. Dedicated solutions extend the same assurance to fixed wireless access and private networks, and RADCOM Neura AI agents turn what the platform sees into a recommended course of action. The result is a single workflow that unifies radio performance, network behavior, and customer experience, accelerating optimization and resolution across the entire service.
Why operators choose RADCOM for end-to-end assurance
Radio-to-core correlation
10-second sub-session granularity
Subscriber-level root cause on demand
Through 5G SA and beyond in one view
FWA and private network assurance
AI-recommended next best action
Trusted by Tier-1 networks across North America, Europe, and Asia-Pacific
End-to-end monitoring, domain by domain
Core Analytics
Operators run 2G, 3G, 4G LTE, and 5G non-stand alone and standalone in parallel for years, and each generation tends to arrive with its own monitoring tool and its own version of the truth. RADCOM ACE replaces that patchwork with a single view of the entire core, correlating signaling and user-plane traffic across every domain. Cloud-native and software-defined, it captures and analyzes core data at 5G scale, giving operators end-to-end visibility into network performance, service quality, and subscriber experience, and feeding the same correlated dataset that extends from the RAN to the core.
RAN Analytics
Every generation added to the radio network makes it harder to identify which cell is hurting which customer. RADCOM RAN Experience Analytics (REA) answers that question inside the assurance platform operators already run, resolving radio data down to 10-second slices of a single session. Its unique “impact pairs” view exposes cell-to-cell problems competing tools cannot see, and voice quality is mapped geographically for planning and optimization. Root cause is available for any subscriber on demand, not just a VIP list, in seconds rather than hours, and new site launches and drive testing are validated automatically, so every radio change can be tied to a measurable improvement in service.
RAN-to-Core Analytics
Every generation added to the radio network makes it harder to identify which cell is hurting which customer. RADCOM RAN Experience Analytics (REA) answers that question inside the assurance platform operators already run, resolving radio data down to 10-second slices of a single session. Its unique “impact pairs” view exposes cell-to-cell problems competing tools cannot see, and voice quality is mapped geographically for planning and optimization. Root cause is available for any subscriber on demand, not just a VIP list, in seconds rather than hours, and new site launches and drive testing are validated automatically, so every radio change can be tied to a measurable improvement in service.
Interval Solution & Session-Level Analysis
Voice quality problems rarely last a whole call. They flare for a few seconds during a handover, a cell-edge moment, or a congestion spike, then clear. A full-session CDR averages the entire call, so those seconds vanish into the average, which is why intermittent VoNR and VoLTE complaints are so hard to reproduce.
RADCOM’s 10-Second Interval solution removes the blind spot. It measures voice quality in 10-second increments across the full RTP session and ties each interval to the radio conditions and serving cell at that exact moment. The result is a RAN-to-core timeline of the customer’s voice experience, so operators know when quality dropped and which cell caused it.
How it works
- Interval RTP measurements: jitter, packet loss, pMOS, R-factor, and mute duration every 10 seconds, uplink and downlink
- Interval RRC measurements tie each slice to the serving cell, any handovers, and radio metrics (RSRP, RSRQ, SINR)
- Both streams sequence into one RAN-to-core view per SIP call, sliced into 10-second segments over a configurable time range
- Impact analysis per location and cell (region, market, cluster, eNodeB, site, cell, CGI), for MO and MT calls
- Runs on demand in the Session Analyzer for targeted troubleshooting
Benefits vs. full-session CDR
- Exposes short-lived degradations a session-level CDR hides
- Pinpoints when quality dropped, and the cell, network element, and condition behind it
- Full RAN-to-core view of the voice session in one correlated table
- Faster detection and more accurate root cause for intermittent VoNR and VoLTE issues
- Cell and location-level impact analysis for MO and MT calls
- Cuts time to diagnose and optimize voice quality, without capturing full detail on every call
Fixed Wireless Access (FWA)
RADCOM ACE assures Fixed Wireless Access all the way into the home. Through the standard TR-069 interface, it unifies network data (deep packet inspection, control plane, and user plane) with statistics from behind the CPE, across 4G, 5G, private networks, small cells, and unlicensed spectrum. Operators get per-subscriber quality monitoring, Wi-Fi and video streaming assurance, and predictive analytics that flag likely support tickets before they arrive, so churn falls and packages can be upsized on real home usage.
Private Networks
One multi-tenant platform serves the operator and its enterprise customers from the same data. A lightweight probing agent at each site feeds a central back end, so an operator monitors hundreds of private networks from one vendor-agnostic view while each enterprise sees only its own. Same KPIs, same alarms, so no one argues over conflicting numbers in an SLA dispute. ACE compares live performance against guaranteed KPIs, predicts breaches before they happen, and triggers corrective action across Private LTE, Private 5G, Private RAN and Core, and 5G SA slicing.
E2E Monitoring AI Agents
Turn network insight into the next best action.
RADCOM Neura adds specialized AI agents to the end-to-end workflow, grounded in live network traffic and built on RADCOM ACE. Authoritative insight taken straight from the network is the trusted foundation for autonomous operations and AI-native assurance.
RADCOM Best Action Recommender
The RADCOM Best Action Recommender turns network insight into decisive action. It applies AI and machine learning to live network events, correlates emerging issues with previously resolved cases, and recommends the most effective remediation path.
Instead of diagnosing from scratch, operations teams get proven next steps, so mean time to resolution drops, decisions stay consistent, and problems get fixed before customers feel them.
Further Reading
FAQs
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End-to-end monitoring correlates performance data from every domain on the service path, from the radio access network (RAN) through the core to the service layer, into a single dataset. Operators can analyze each session across every domain it crosses, so they can see within seconds where degradation started, and which cell or network element caused it.
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Operators run 2G, 3G, 4G LTE, and 5G in parallel, and each generation often comes with its own monitoring tool and version of the truth. End-to-end monitoring replaces that patchwork with one correlated view, so radio, core, and customer experience teams work from the same data.
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Radio trace data is correlated with core signaling and user-plane data, indexed by subscriber and timestamp. An engineer can follow one subscriber's session from the cell, through the core, to the service, in a single view.
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RADCOM Core Analytics covers the mobile core across all generations: 2G, 3G, 4G LTE, 5G Non-Standalone and 5G Standalone. It correlates signaling and user-plane traffic across every domain and captures core data at 5G scale.
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REA gives radio engineers dedicated RAN visibility inside the assurance platform operators already run, with both RAN-only and end-to-end views. It resolves radio data to 10-second slices of a single session, offers root cause for any subscriber on demand, and validates new site launches and drive testing automatically. Its impact pairs view exposes cell-to-cell problems that competing tools cannot see.
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A full-session CDR averages the whole call, so a few seconds of poor quality during a handover or congestion spike disappear. RADCOM measures jitter, packet loss, pMOS, R-factor and mute duration every 10 seconds, uplink and downlink, and ties each interval to the serving cell and radio conditions (RSRP, RSRQ, SINR). Operators see exactly when VoNR or VoLTE quality dropped and which cell caused it.
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RADCOM Neura adds specialized AI agents to the end-to-end workflow, grounded in live network traffic and built on RADCOM ACE. Because their insight comes straight from the network, they give operators a trusted foundation for autonomous operations and AI-native assurance.