User Experience - Introduction

Provider Connectivity Assurance – User Experience (PCA UE)

Introduction

Provider Connectivity Assurance – User Experience (PCA UE) is a component of the Provider Connectivity Assurance solution. It operates at the network layer and analyzes real user data flows in real time to provide highly actionable insights and control.

PCA UE is designed to help service providers improve end-user experience while reducing operating cost. It does this through three main capabilities:

1. Network Intelligence – detailed flow-level visibility and experience scoring.
2. Network Optimization – intelligent shaping/time-shifting of large (elephant) flows during congestion.
3. Energy Reduction – data-driven recommendations to de-energize/re-energize RAN resources while preserving user experience.

What PCA UE Does

PCA UE continuously processes mirrored user and control-plane traffic (for example from TAP/SPAN) and converts packet-level observations into compact, high-value flow intelligence.

It correlates:

• user flow behavior,
• protocol and application patterns,
• control signaling (for IP-to-cell mapping), and
• network context (cell/site/location, transport metrics, telemetry, third-party data).

The result is a near real-time view of user experience quality per flow, per subscriber, per application, and per cell/site.

Core Functions

1) Network Intelligence

• Monitors and characterizes traffic across protocols such as QUIC, TCP, UDP, GTP, MPLS/SR/SRv6.
• Produces per-flow and per-endpoint metrics for troubleshooting and trend analysis.
• Computes a proprietary Consumer Experience Score (CX Score) on a 1–5 scale.
• Correlates user experience with network underlay metrics (for example TWAMP and telemetry) to localize likely issue domains faster.
• Streams enriched metrics into analytics systems and data lakes to support dashboards, alerting, and closed-loop automation.

2) Network Optimization

• Detects elephant flows and applies dynamic shaping/micro-shifting to reduce contention during congestion windows.
• Preserves experience for latency-sensitive or real-time traffic (for example conferencing and collaboration) while managing heavy bandwidth sessions.
• Improves overall user throughput in congested conditions and can reduce pressure for immediate spectrum/capacity expansion.

3) Energy Reduction

• Uses flow-based and cell-level behavior to identify where spectrum/cell resources can be safely de-energized.
• Sends standards-based API recommendations to RAN controllers.
• Continuously monitors CX and supports re-energization as load rises (spectrum on demand).
• Targets meaningful OPEX and sustainability improvements while maintaining acceptable user experience.

Key Metrics and Analytics

PCA UE tracks a rich CX-oriented metric set, including:

• speed test (passive, flow-based),
• burst throughput,
• interburst gap,
• flow burst duration,
• TCP RTT,
• retransmission percentage,
• time to 500 KB,
• sufficient throughput,
• simultaneous active users,
• congestion ratio,
• consumer experience score.

These metrics are usable at both detailed and aggregated levels, enabling:

• deep root-cause analysis (per flow/subscriber), and
• fast operational visibility (per cell/site at interval-based granularity).

Deployment and Integration Overview

PCA UE supports flexible deployment options:

• Router/container-based deployment (for supported platforms, currently the NCS 540 families).
• x86/server-based deployment for higher traffic capacities (up to 320Gbps).
• Out-of-line operation via mirrored traffic sources is supported for non-invasive monitoring.

Typical deployed components include:

• traffic processor - listening on the network layer,
• management server - control point for the traffic processors,
• collector/streaming layer - feeding the data to the PCA platform (Network Intelligence),
• PCA analytics and visualization platform (on-prem, cloud, or hybrid depending on solution setup).

Benefits for Service Providers

Experience and Service Quality

• Better understanding of what users actually experience (not only averaged RAN KPIs).
• Faster detection of degradations and clearer separation of service vs transport issues.
• Improved ability to protect quality during traffic spikes and congestion.

Operational Efficiency

• Real-time, actionable insights for engineering and operations teams.
• Better prioritization of optimization actions using objective CX evidence.
• Reduced need for costly/manual speed testing campaigns.

Capacity and Cost

• More efficient use of existing spectrum and infrastructure.
• Lower probability of premature capacity upgrades.
• Potential OPEX savings through energy-aware RAN control.

Sustainability

• Supports energy reduction strategies with measured impact and feedback loops.
• Helps align network operations with broader sustainability targets.

Why PCA UE Is Different

• Combines passive user-flow analytics with assurance and network context correlation.
• Focuses on real user traffic at scale, rather than sparse probe-only measurements.
• Links user experience outcomes directly to optimization and energy-control workflows.
• Designed for multi-vendor, multi-domain operational environments.

Summary

PCA UE gives service providers a practical path to improve user experience and operational outcomes at the same time. By converting raw flow activity into CX-aware intelligence and control recommendations, it helps teams make better decisions about performance, congestion, capacity, and energy—continuously and at scale.