Keysight Technologies, Inc. has joined forces with Qualcomm Technologies, Inc. to fast-track the development of high-precision Radio Frequency (RF) digital twins for massive multiple-input multiple-output (MIMO) systems in 5G-Advanced and upcoming 6G networks. Through this collaboration, both companies aim to help chipset makers, device manufacturers, and network equipment providers predict and optimize massive MIMO performance more accurately well before commercial deployment. As a result, the industry can reduce rollout risks while accelerating next-generation wireless innovation.

As wireless networks continue to evolve, operators increasingly rely on massive MIMO to boost coverage, capacity, and efficiency. However, real-world RF conditions vary significantly from one deployment site to another. Consequently, beamforming and precoding strategies that perform well in simulations may behave differently once deployed in live environments. At the same time, the industry is actively integrating artificial intelligence into the radio access network (RAN). To make AI-driven decisions reliable, engineers require high-quality channel data and consistent, repeatable benchmarks that reflect real-world performance.

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To address these challenges, Keysight and Qualcomm Technologies will jointly showcase a high-fidelity RF digital twin at Mobile World Congress 2026. During the live demonstration at Keysight’s booth, the companies will present a photorealistic RF digital twin of Qualcomm Technologies’ massive MIMO prototype network located on its San Diego campus. Using Keysight’s Channel Studio RaySim along with Qualcomm Technologies’ advanced massive MIMO algorithms, the team will model site-specific radio propagation effects with precision.

Moreover, they will validate the digital twin by comparing results from Qualcomm Technologies’ end-to-end massive MIMO prototype network against lab-based testbeds. These testbeds will incorporate Keysight’s channel emulation technology and Qualcomm Technologies’ test devices. This comprehensive workflow demonstrates strong correlation across critical key performance indicators (KPIs), including Reference Signal Received Power (RSRP), rank, and data throughput, when matched against over-the-air (OTA) measurements.

Importantly, the validated workflow can also support the creation of high-quality channel datasets. These datasets can train and validate AI and machine learning models for advanced applications such as Channel State Information (CSI) compression, adaptive beam management, and AI-assisted precoding optimization. Therefore, the collaboration not only improves testing accuracy but also lays the groundwork for AI-native 6G network design.

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Kiran Mukkavilli, Senior Director, Qualcomm Technologies, Inc., said: “Realistic RF digital twins are essential for developing and validating advanced beamforming and AI-based optimization techniques. By anchoring high-fidelity digital twins to Qualcomm Technologies’ end-to-end massive MIMO research platform, this collaboration demonstrates how high-fidelity modeling, combined with system-level testing and over-the-air validation, can improve confidence that massive MIMO algorithms will perform as expected in real deployments.”

Mosaab Abughalib, General Manager and Head of Wireless Solutions, Keysight, said: “High-precision RF digital twins help engineers connect algorithm design to measurable hardware performance. By combining raytraced digital twins with advanced channel emulation, Keysight enables customers to predict massive MIMO behavior before deployment, reducing risk and accelerating innovation toward AI-native 6G networks.”

Ultimately, by bridging the gap between simulation, lab testing, and real-world validation, Keysight and Qualcomm Technologies are enabling the wireless ecosystem to innovate faster, deploy smarter, and build more reliable 5G-Advanced and 6G networks.

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