6G Solutions
- Spectrum Technologies
- Channel Modeling
- Sensing
- Waveform Research
- Network Emulation
Design, model, and validate FR3 and sub-THz components and systems with 6G solutions that streamline characterization test setups, reproduce diverse propagation environments, and emulate hardware impairments. Keysight’s 6G Solutions also provide the signal generation and analysis capabilities needed for wideband signal creation and noise figure measurements, enabling researchers to verify the performance of their 6G systems.
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6G FR3 System Test
Validate system design and development at new 6G frequencies like FR3 using channel emulation.
6G FR3 Component Test
Characterize radio frequency front-ends and complex devices such as I/Q modulators, differential amplifiers, and T/R modules.
6G Wideband Signal Characterization
Enable sub-THz signal generation and analysis between 220 and 330 GHz for 6G system-level prototypes.
6G D-Band Noise Figure Measurement
Characterize the performance of 6G systems by making D-band (110 GHz – 170 GHz) noise figure measurements.
Design the 6G air interface and apply AI optimizations to enhance PHY and RAN performance with 6G solutions that can accurately simulate real-world environments. Model the behavior of various components and systems, analyze performance metrics, and optimize 6G designs for better functionality and effectiveness. Move beyond traditional channel modeling with high-fidelity, site-specific RF ray tracing to enable digital twins of field deployments.
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6G Channel Modeling with AI
Train AI models to recognize and adjust for 6G channel impairments, and use the trained models to predict and correct signal issues in real time.
6G Neural Receiver Design
Train neural receivers using AI-generated labeled data. After generating the data, validate the neural network’s performance when integrated into a wireless system.
Ray Tracing for Channel Modeling
Create site-specific RF propagation scenarios for complex new wireless technologies in 5G Advanced and 6G.
AI-for-RAN Channel Emulation
Generate advanced AI models for precise channel estimation, resource allocation optimization, and power consumption reduction.
Ultra-Massive MIMO Test
Create realistic, spatially-consistent, site-specific deterministic ultra-massive MIMO beamforming models.
Explore 6G solutions for channel emulation, AI-based object detection, and OFDM radar for target identification. Generate and analyze signals at different frequencies, create a wide variety of environmental conditions through channel emulation, and export the frequency domain IQ data needed to perform OFDM radar calculations.
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Integrated Sensing and Communication (ISAC) Test
Define accurate scenarios for 3GPP-based sensing validation.
Simulate and test waveforms under consideration for 6G such as CP-OFDM, DFT-s-OFDM, OSDM, and OFTS using 6G solutions that perform PHY-level simulation, integrate site-specific channel models, and simulate PHY performance. Non-signaling test solutions support PHY testing and experimentation as well as test synchronization, channel estimation, and precoding.
6G Waveform Simulation
Conduct link and system-level simulation to research and validate AI / ML-driven algorithms.
6G Waveform Test
Test RF and layer 1 during development and run realistic models after stack development.
Explore 6G solutions that model and visualize non-terrestrial networks (NTNs) and advance O-RAN. Simulate transmission paths, validate base stations, test NTN devices, and emulate these networks in the lab.
O-RAN Traffic Over Ethernet Test
Construct, play, capture, and measure O-RAN traffic over Ethernet fronthaul interfaces.
Direct-to-Device NTN Service Validation
Use satellite and terrestrial RF channel emulation to test direct-to-device NTN service in the lab.
NTN System Modeling and Simulation
Plan NTN and terrestrial network interoperability.
NTN Base Station Validation
Learn how to validate NTN base stations in a lab environment.
Large-Scale Network Emulation
Create a digital twin model of your network by abstracting the physical layer to a city-scale for studying its performance.
Accelerate 6G R&D
Whether you're working on new spectrum, AI / ML networks and devices, or new network topologies, Keysight's 6G solutions provide the performance, precision, and stability you need to tackle the most challenging measurements.
Explore 6G Use Cases
Discover 6G Resources
eBook
Know the key technology considerations, performance targets, and use cases under evaluation for 6G as you start or evolve your research.
Learn Hub
Get insights into the 6G standard, learn how to design 6G mmWave beamforming systems, and discover ML techniques that can synthesize realistic wireless channel data.
Application Note
Model and test RIC capabilities at scale for applications such as anomaly detection and network optimization.
Webinar
Enhance signal processing and optimize network performance with AI / ML.
eBook
Explore how 6G technologies from ISAC and FR3 to AI-RAN and xMIMO unlock the full potential of non-terrestrial networks.
6G Solutions FAQs
A 6G solution for R&D purposes is a combination of hardware and software that enables engineers in industry and academia to innovate components and systems for the next generation of mobile technology. 6G solutions are used to prototype, validate and optimize wireless designs. With these solutions, design and test engineers can generate and analyze 6G signals across spectrum bands, recreate complex and dynamic environments, and train, verify and optimize AI/ML models to enhance PHY and RAN performance.
6G solutions for research and development are powered by advanced design, simulation, and test technologies that enable engineers to model, validate, and optimize next-generation wireless systems. These capabilities span hardware, software, and signal processing domains, supporting the full R&D workflow from concept to validation.
Key technologies include:
- High-fidelity RF and network digital twins, including ray-tracing-based channel modeling, to simulate real-world propagation environments
- Wideband signal generation and analysis to characterize performance across emerging frequency ranges such as FR3 and beyond
- Advanced massive MIMO and beamforming testbeds to evaluate large antenna arrays and hybrid beamforming architectures
- Non-signaling test techniques for rapid PHY-layer validation and experimentation without full network infrastructure
- Network emulation and visualization tools to model complex scenarios and evaluate system behavior at scale
- AI/ML toolchains for PHY/MAC optimization, channel prediction, CSI compression, and network intelligence
- O-RAN-compliant platforms for validating RIC xApps, rApps, and multi-vendor interoperability
- AI-driven, intent-based automation to accelerate test workflows and improve productivity using trained models
Together, these technologies form the foundation of 6G solutions for research and development, enabling engineers to explore new architectures, validate component and system performance, and accelerate the path to commercial deployment.
6G research demands superior capabilities in instrumentation both in precision and stability to validate findings faster. 6G solutions provide higher performance than 5G solutions so they can make more challenging measurements repeatably. In addition, 6G development requires expertise in new technology areas including AI/ML and sensing. 6G solutions need to provide technical insights that transcend traditional wireless communications engineering.
Artificial intelligence plays a critical role in advancing 6G solutions for research and development by enabling faster, more efficient design, simulation, and validation of next-generation wireless technologies. As 6G introduces greater complexity, such as upper midband frequencies, ultra-dense networks, and integrated sensing and communication, AI helps researchers manage and optimize these systems at scale.
AI-driven techniques are used to:
- Accelerate channel modeling and propagation analysis in new frequency bands
- Enable intelligent network optimization and adaptive resource allocation
- Power digital twins that replicate real-world environments for simulation
- Automate test and measurement workflows, reducing time to insight
- Enable next-generation RAN by using AI to optimize scheduling, reduce interference, and improve energy efficiency
By embedding AI into 6G R&D workflows, engineers can explore more design possibilities, improve accuracy, and significantly shorten development cycles. This makes AI essential for transforming early-stage concepts into validated 6G technologies.
6G solutions for research and development are available today enabling researchers to design, model, and validate components and systems across spectrum bands, from sub-7 GHz to FR3 to sub-THz. 6G solutions are also available for design engineers to apply AI optimizations to innovate the air interface and the radio access network, advance sensing capabilities for wireless networks, research 6G waveforms, and iterate on network architectures started in 5G that will need to evolve in 6G such as non-terrestrial networks and O-RAN.
6G solutions are expected to transform a wide range of industries by enabling new applications that require higher data rates, lower latency, and more intelligent connectivity.
Key industries include:
- Telecommunications and network infrastructure: Next-generation RAN, core networks, and AI-native architectures
- Satellite and non-terrestrial networks: Global connectivity across terrestrial and space-based systems
- Aerospace and defense: Secure communications, sensing, and mission-critical operations
- Automotive and transportation: Autonomous vehicles, V2X, and intelligent mobility systems
- Manufacturing and industrial automation: Smart factories and real-time control systems
- Healthcare and digital health: Advanced diagnostics and remote care
- Smart cities: Intelligent infrastructure, environmental monitoring, and public safety systems
- Energy and utilities: digital power grids, predictive maintenance, and distributed energy management
- Media and entertainment: XR, holographic communication, and immersive digital experiences
- Logistics and supply chain: autonomous ports, fleet orchestration, and real-time asset tracking
Advancing these use cases depends on continuous innovation in 6G research and development, including the design, simulation, and testing of key technologies such as FR3 spectrum for improved coverage and capacity, NTN for global connectivity, and ISAC for converged sensing and data transmission, all of which are critical to meeting the performance demands of future applications.
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