TRILCOMM™ TECHNOLOGIES

WIRELESS SIMULATION SYSTEMS

Model the network before you touch it.

Trilcomm builds simulation platforms for 5G and 6G radio networks — from a hundred emulated handsets on a test bench, to a digital twin of a live network with an AI optimizer learning inside it.

5G NR multi-UE Simulator RANOpt AI Sim Platform Digital Twin

PRODUCT ONE

5G NR multi-UE Simulator

One hundred handsets, no handsets. The simulator emulates a hundred independent user devices against a live gNodeB and 5G core — so you can load, break and benchmark a network before a single real phone connects to it.

A complete UE stack, standing in for a hundred devices

The simulator presents itself to the network exactly as real devices would. Trilcomm builds the physical layer; the higher layers come from a stack partner, and the radio runs on commercial software-defined radio hardware.

L2/L3 PARTNER

UE L2/L3

RRC, NAS and bearer handling for every emulated device.

TRILCOMM

UE PHY

The layer-1 engine — Trilcomm's own design, and the core of the product.

COTS SDR

RF

USRP software-defined radio carrying the air interface.

THIRD PARTY

gNodeB

Any vendor's base station under test.

THIRD PARTY

5G Core

Core network or core simulator completing the end-to-end path.

Trilcomm components L2/L3 partner Third-party and commercial off-the-shelf

On the radio front end: building a custom RF front end inside the proof-of-concept window was not viable, so the first release runs on off-the-shelf USRP hardware. Purpose-built RF is part of the commercialization phase.

What the first release does

Scoped deliberately: enough scale and enough of the standard to run meaningful interoperability and load testing, on hardware a lab already owns.

SCALE
100 UEsEight bearers on each, attached simultaneously.
STANDARD
Release 15 SA3GPP standalone deployment mode.
SPECTRUM
FR1 · 100 MHzSub-6 GHz, single BWP PRB operation at 30 kHz subcarrier spacing.
USE CASE
eMBBEnhanced mobile broadband traffic profiles.
HARDWARE
COTSIntel Core-series server plus USRP software-defined radio.
CONTROL
Configuration UISet up runs and drive the simulator without scripting.

Two phases, with customer feedback between them

Prove the physical layer and the integrated stack first. Commit to target hardware and a full feature set only once real customers have run it.

PHASE ONE · PROOF OF CONCEPT

Prove it works

  • Initial layer-1 release built and demonstrated to customers
  • Interoperability testing against multiple third-party base stations for benchmarking
  • Integrated full-stack demonstration across L1, L2 and L3
  • First round of customer feedback collected

What it runs on, and what it is measured against

The simulator is deliberately built on equipment and tools that test labs already standardize on.

SOFTWARE

ComponentSourceQty
UE L2/L3 softwareStack partner1
NAS ASN.1 codec libraryObjective Systems1

HARDWARE

ComponentSourceQty
Intel Core i9 serverDell / Supermicro2
Software-defined radioNI USRP2

VALIDATION

ComponentSourceQty
Numerical modellingMathWorks MATLAB1
Core network simulatorPolaris / Keysight-IXIA / Sooktha2
Vector signal analyzer and generatorRohde & Schwarz / Keysight1
gNodeBAmarisoft2

Beyond the first release

The following sit outside the proof-of-concept scope and are sequenced against customer demand.

SCALE AND USABILITY

  • More than 100 UEs
  • Advanced graphical interface
  • Soak, stability and traffic-pattern testing

3GPP FEATURES

  • Multiple BWP support
  • Beamforming
  • FR2
  • FDD
  • NSA dual connectivity
  • Power control
  • Handovers
  • Carrier aggregation
  • Network slicing
  • Full RRC procedures
  • Full PDU capability
  • Full NAS compliance

PRODUCT TWO

RANOpt AI Sim Platform and Digital Twin

Where the simulator tests one network element, this tests decisions. A digital twin holds a working model of the network; RANOpt AI learns inside that model and proposes what to change. Neither half is much use alone — the twin gives the optimizer somewhere safe to be wrong, and the optimizer gives the twin a reason to exist.

IN DEVELOPMENT

RANOpt AI Sim Platform

An AI-assisted decision platform for the radio access network. Reinforcement learning agents work against RAN KPIs and propose configuration changes, training inside the twin rather than against live traffic. The platform is built to be interrogated: an engineer can see which KPIs a recommendation trades against before accepting it, instead of taking a number from a black box.

  • Reinforcement learning agents
  • Trained in simulation, not on live traffic
  • KPI trade-offs surfaced, not hidden
  • Interactive decision interface for engineers
  • 5G NR and 6G scenarios
IN DEVELOPMENT

Digital Twin for 5G and 6G networks

A running software replica of a radio network — cells, channels, traffic and user behaviour kept in step with the real thing. Change a parameter on the twin, watch what happens to coverage, capacity and latency, and only then push the change to the network. It is also the environment RANOpt AI trains in, and the bench the rest of the portfolio is validated against.

  • Live-network state synchronization
  • What-if analysis before deployment
  • Coverage, capacity and latency modelling
  • Closed-loop interface for optimization
  • 5G NR today, 6G candidate waveforms next

Narrower simulators feeding both products

Each of these models one hard part of the radio environment, and feeds its results into the twin.

PROTOTYPE

Non-terrestrial networks

LEO and GEO link emulation with realistic propagation delay, Doppler and handover behaviour for satellite-integrated 5G and 6G.

PROTOTYPE

O-RAN interoperability bench

Open fronthaul and RIC interface testing, so disaggregated components from different vendors can be proven against one another.

RESEARCH

Integrated sensing and communication

Joint radar-and-communication waveform modelling for the sensing use cases arriving with 6G.

RESEARCH

Reconfigurable surface channels

Channel models for RIS-assisted links, where the propagation environment itself becomes a controllable part of the system.

RESEARCH

High-mobility waveforms

Delay-Doppler domain modulation such as OTFS, evaluated under the conditions where conventional OFDM starts to struggle.

Four decades of the thing being simulated

Dr Rao S. Yenamandra

PROMOTER

Trilcomm was built on a career spent inside the systems it now models. That career started with India's Department of Telecommunications, in the era of copper and switching, and ran through the wireless generations at Qualcomm, where he served as Vice President of Engineering and worked at the physical layer of the standards that became everyday infrastructure.

The through-line is layer one. Trilcomm's products exist because the hardest part of testing a radio network is faithfully pretending to be one — and that requires knowing what the standard actually does, not just what the specification says.

He now writes and teaches on wireless systems, and is the author of Telecom Memoir: From Wireless 1G to 6G and Beyond.

FOCUS
Wireless PHY, cellular standards, satellite
EARLY CAREER
Department of Telecommunications, India
INDUSTRY
Vice President of Engineering, Qualcomm
NOW
Consulting, training and 6G research
AUTHOR
Telecom Memoir — Authorspress

Dr Gopala Rao Yenamandra

CO-PROMOTER

The academic half of the same discipline. Dr Yenamandra served as Head of the Department of Electronics and Communication Engineering at Andhra University in Andhra Pradesh, where he taught and supervised research across the communication engineering curriculum.

Where Trilcomm's products come out of industry practice, his contribution comes from the other direction — the theory those products are obliged to get right, and the generations of engineers who learned it from him.

He works today as an independent consultant.

FOCUS
Electronics and communication engineering
ACADEMIC
Head of Department, ECE, Andhra University
LOCATION
Andhra Pradesh, India
NOW
Independent consultant

Talk to us about your test bench

Tell us which base stations and cores you need to validate against, and we will walk you through how the platforms fit in.

EMAIL TRILCOMM

COMPANY LOCATION

Hyderabad
Telangana, India

UNITED STATES

876 San Simoen Dr
Mountain View, CA 94043