Collection:

UE Emulators

Evaluate end-to-end RAN performance across terrestrial and non-terrestrial networks

Model:

P8800S

N/A

UeSIM RAN Testing Toolset

The Keysight P8800S UeSIM uses UE emulation to evaluate end-to-end Radio Access Network performance across Terrestrial and Non-Terrestrial Networks.

Test types Stack, NAS / core emulation, UE traffic / application layer, Beamform testing, E2E MU-MIMO
Sub system simulated RF front end, L1 physical layer (PHY), L2 MAC / RLC, L3 protocol
Interfaces supported RF (conducted or OTA), eCPRI, CPRI, Ethernet, I/Q streaming, PXIe backplane
Programming interfaces REST API, SCPI, Python
View Technical Overview

Validate RAN functionality and performance end-to-end

The Keysight UE emulators enable scalable testing of Radio Access Networks over the air and over the fronthaul interfaces, by simulating thousands of realistic user devices and traffic patterns. They combine real-time protocol emulation, application-layer traffic generation, mobility modeling, and enhanced KPI analysis to deliver insight into performance, capacity, and QoE. From functional testing to extreme load and mobility scenarios, UE emulators help you isolate issues, fine-tune designs, and accelerate deployment with confidence. Request a quote for the Keysight UE emulator solution today. Want to learn more about this solution? Explore the resources below.

Scalable realistic UE emulation

Support thousands of UEs, simulate application data, and generate network traffic load under advanced mobility scenarios and real-world conditions.

Full protocol stack validation

Emulate full-stack user sessions across L1 to L7 for full protocol stack validation, including system capacity and user experience characterization.

Evaluation across TN and NTN

Support internal orbit emulation (LEO / GEO / GSO) for service and feeder link, and advanced channel emulation for transparent and regenerative network modeling.

mMIMO beamforming testing

Scale MU-MIMO and mMIMO testing with large-scale UE emulation. Validate high-throughput and dynamic mobility in a compact, auto-tuning benchtop form factor.

Test types Stack, NAS / core emulation, UE traffic / application layer, Beamform testing, E2E MU-MIMO, RAN More…
Sub system simulated RF front end, L1 physical layer (PHY), L2 MAC / RLC, L3 protocol, O-Gnb, O-RU
Interfaces supported RF (conducted or OTA), eCPRI, CPRI, Ethernet, I/Q streaming, PXIe backplane, OFH
Programming interfaces REST API, SCPI, Python

The Keysight P8800S UeSIM uses UE emulation to evaluate end-to-end Radio Access Network performance across Terrestrial and Non-Terrestrial Networks.

Highlights

Accelerate end-to-end Radio Access Network (RAN) validation with Keysight’s UeSIM UE emulation solution to generate IP traffic load and simulate applications running on thousands of concurrent devices operating real voice and data sessions.

  • Support for key 3GPP technologies
  • 4G and 5G (NSA and SA modes), FR1 and FR2
  • Massive MIMO (mMIMO) with beamforming up to 64T64R
  • Non-Terrestrial Networks (NTN)
  • NB-IoT
  • Full protocol stack assessment from L1 to L7 covering functional testing – layer by layer.
  • Scalable up to thousands of UEs and 10+ Component Carriers with simulation of real application data and generation of network traffic load.
  • Support for gNB wrap-around testing with optional simulated core – P8850S CoreSIM.
  • RedCap, Private Networks and Network Slicing.
  • Service quality validation with subscriber modeling, and multi-play voice, video, and data traffic generation: eMBMS, VoNR, ViNR.
  • Advanced mobility scenarios, fading and cross-cell interference simulation.
  • Automation and integration into CI/CD/CT workflows.
  • Data generation for AI/ML, AI/ML benchmarking, RAN workloads for AI and RAN.
  • Automated O-RAN compliance testing.
  • UE / O-RU emulation over the O-RAN fronthaul with P8822S RuSIM RAN Testing Toolset.

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Calibration

Ensure your test system performs to specification and meets local and global standards.

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Make measurements quickly with in-house, instructor-led training, and eLearning.

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