6G aims to "integrate everything"We provide the EM twin foundation it needs
6G integrates high frequency bands, AI, sensing, satellite-terrestrial integration, and digital twins into a single vision. This means the complexity of channel modeling, terminal testing, and network operations is rising exponentially. With its three-layer product line, MetaRadio simultaneously supports R&D, testing, and twin closed loops across the five 6G mainlines of sub-THz, RIS, AI-native channel, ISAC, and satellite-terrestrial integration.
The compound challenge brought by 6G's integration
6G is no longer "the next generation"—it presses every capability onto one map
The loss introduced by high frequency bands, the reconfigurable propagation introduced by RIS, ISAC making the communication link also a sensing link, NTN pushing the network into the sky, and AI-native channels demanding large-scale labeled training data. Each direction is hard on its own; stacked together they demand a unified EM modeling and twin platform even more.
Pushing bands to sub-THz
High-frequency loss and narrow beams make coverage and handover sensitive, and traditional model extrapolation breaks down.
Reconfigurable intelligent surface
RIS turns the "wall" into a controllable channel element, requiring EM simulation to directly characterize its phase/power response.
AI-native data foundation
End-to-end learning and AI channel coding/decoding require massive, diverse, and labelable high-fidelity channel data.
A three-layer product line as the 6G research foundation
A single engine covering 6G's five mainlines
MetaRadio's three-layer product line exists simultaneously across the three stages of 6G R&D, testing, and twin, and converges the five mainlines of sub-THz, RIS, ISAC, NTN, and AI-native onto a unified EM foundation.
| Layer | Layer Name | Description |
|---|---|---|
| L1 | Ray tracing / Lauraycs | sub-THz simulation + RIS model + dual ISAC output + satellite trajectories + large-scale data generation. |
| L2 | Virtual road test / HIL | sub-THz HIL for 6G prototype modules; joint commissioning with RIS testbeds, ISAC test benches, and NTN gNB. |
| L3 | EM twin / EM-Twin | 6G twin network platform that is subscribable, drivable, ingestible with measurements, and connectable to digital twin cities. |
A unified foundation for 6G's five mainlines
Multi-source modeling
Urban/indoor 3D + satellite trajectories + RIS deployment + moving targets + labeling.
Unified EM kernel
sub-THz / RIS / ISAC / NTN simulated in a unified RT engine, physically consistent.
6G HIL
Prototype modules, RIS control boards, and ISAC/NTN gNB combined under the same HIL framework.
AI data + twin services
Automatically produce AI training sets; the 6G twin network platform provides services externally.
6G research specifications
| Frequency bands | 600 MHz – 325 GHz; dedicated sub-THz (90/140/220/300 GHz) models and material libraries |
|---|---|
| RIS support | Element-level phase/amplitude modeling, array-level effective response; joint optimization and replay |
| ISAC | Physically consistent sensing echoes + communication multipath dual output; multi-base-station coordination |
| Satellite-terrestrial integration | LEO/MEO/GEO constellations + urban terrestrial 3D; multi-beam/multi-satellite handover |
| AI data | Large-scale labeled channel/sensing/positioning datasets; customizable sampling dimensions and protocols |
| Standards alignment | ITU-R IMT-2030 framework, 3GPP Rel-19/20, IEEE 802.11bf, industry 6G white papers |
| HIL integration | sub-THz VNA/spread-spectrum/transceiver links; RIS testbeds; ISAC/NTN test benches |
| Deployment | Private cloud + GPU clusters; supports university/research institute/operator 6G experimental environments |
| Localization | Kylin + domestic GPU; can form a validation ecosystem with domestic instruments and terminals |
Core differentiation
Unified EM foundation
The five mainlines of sub-THz, RIS, ISAC, NTN, and AI channel converge onto a single engine.
Physical consistency
The concurrent results of multiple phenomena are physically self-consistent, avoiding stitching errors.
Large-scale AI data
Automatically produces labeled high-fidelity training sets, empowering AI-native 6G.
HIL direct drive
A "simulate first, then measure" workflow for 6G prototype modules, shortening iteration cycles.
Subscribable twin
The 6G twin as EM infrastructure shared by research and industry.
Cross-disciplinary readability
Outputs intermediate products that are readable to algorithm, protocol, and network planning researchers alike.
Typical scenarios
sub-THz communication
90/140/220/300 GHz channel simulation, link budget, and experimental validation.
RIS experiments
RIS array joint optimization, coverage enhancement, and blind-spot filling research.
ISAC
Multi-base-station collaborative sensing + communication joint optimization; high-fidelity target-level data.
Satellite-terrestrial integration
Service-level KPI simulation for 6G NTN and terrestrial 5G-A/6G coordination.
AI-Native
A foundation for large-scale training data + end-to-end learning algorithm validation.
Digital twin network
Engineered EM infrastructure for the 6G "twin as network" vision.
Let the 6G vision of "integrate everything" run on an EM twin foundation first.
乾径科技 MetaRadio · 6G Vertical Solution