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Keysight Demonstrates 5G-Advanced AI-Powered Channel State Information Compression and Paves the Way for 6G

MWN-AI** Summary

Keysight Technologies, Inc. (NYSE: KEYS) has partnered with Qualcomm Technologies, Inc. to showcase an innovative, machine learning (ML)-based method for compressing Channel State Information (CSI), aimed at enhancing link adaptation in advanced Multiple-Input Multiple-Output (MIMO) systems. Demonstrated at the Mobile World Congress (MWC) 2026 in Barcelona, this technology achieved over a 40 percent improvement in downlink throughput when compared to the traditional 3GPP eType II CSI reporting method in a four-layer (rank-4) operation.

As 5G-Advanced networks evolve to incorporate more antennas and broader channels, the role of CSI becomes crucial for optimizing network performance, particularly in beam steering and transmission settings. However, higher fidelity in CSI reporting can lead to increased uplink overhead, creating challenges in balancing performance with signaling efficiency.

During lab tests utilizing Qualcomm’s 5G Modem-RF and Keysight’s network emulation tools, the newly developed ML-based CSI compression method provided a more efficient channel representation while preserving the necessary information for effective beamforming. This capability not only supports advanced MIMO configurations but also aligns with ongoing industry initiatives focusing on AI-driven enhancements in the physical layer for emerging 6G systems.

Leaders from both Qualcomm and Keysight emphasized the significance of this demonstration, highlighting its potential to advance 5G-Advanced innovations while laying the groundwork for future AI-integrated wireless technologies. The collaboration aims to rigorously evaluate the impact of ML-based CSI compression on MIMO performance, ultimately contributing to the evolution of next-generation wireless networks. As both companies continue to innovate, these advancements may signal a major leap towards an AI-native 6G landscape.

MWN-AI** Analysis

Keysight Technologies, Inc. (NYSE: KEYS) has made significant strides in enhancing 5G-Advanced network efficiency through its recent collaboration with Qualcomm Technologies, Inc. at the Mobile World Congress (MWC) 2026. By demonstrating machine learning (ML)-based Channel State Information (CSI) compression, Keysight achieved a remarkable over 40% improvement in downlink throughput compared to the standard eType II CSI feedback in advanced MIMO configurations. This pivotal development not only showcases the potential for better performance in current 5G networks but also lays essential groundwork for the anticipated rollout of 6G technologies.

For market analysts and investors, the implications are promising. As 5G networks evolve, with an emphasis on advanced MIMO systems, the need for efficient CSI becomes paramount. The partnership between Keysight and Qualcomm highlights a proactive approach to tackling performance vs. efficiency trade-offs, which could resonate well with telecom operators seeking to optimize network capabilities while controlling costs. These innovations may also attract interest from sectors heavily reliant on high-speed, reliable wireless communications, such as automotive and aerospace.

From an investment perspective, Keysight showcases its commitment to innovation and leadership in the telecommunications sector, making it a potentially attractive stocked to consider. The company’s focus on AI-native enhancements indicates future growth trajectories, as it positions itself at the forefront of next-generation wireless technologies.

Investors should closely monitor Keysight's advancements and collaborations in the 5G and upcoming 6G domain. Additionally, consider the broader industry trends related to AI and machine learning applications in telecommunications, as they may drive substantial market growth. Thus, maintaining a bullish outlook on Keysight may yield beneficial results in the medium to long term, especially as telecom networks continue to evolve and expand.

**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.

Source: Business Wire

Joint lab validation shows more than 40 percent downlink throughput gain versus standardized channel feedback in four-layer (rank-4) operation

Keysight Technologies, Inc. (NYSE: KEYS) has collaborated with Qualcomm Technologies, Inc. to demonstrate machine learning (ML)-based Channel State Information (CSI) compression to enhance link adaptation efficiency in advanced Multiple-Input Multiple-Output (MIMO) systems at Mobile World Congress (MWC) Barcelona 2026. In a controlled lab validation, the ML-based CSI feedback method achieved more than 40 percent downlink throughput improvement compared to 3GPP eType II CSI reporting in four-layer (rank-4) operation. The demonstration will be featured live at the Keysight booth (Hall 5, #5F41).

As 5G-Advanced networks use more antennas and wider channels, CSI becomes increasingly important in how the network steers beams and selects the right transmission settings. However, sending more detailed CSI can increase uplink reporting overhead, especially for higher-layer MIMO, creating a tradeoff between performance and signaling efficiency.

To address this, Keysight and Qualcomm Technologies tested a mobile test platform powered by a Qualcomm ® 5G Modem-RF, together with Keysight’s network emulation solutions in a repeatable lab environment. Under fixed CSI feedback constraints, the ML-based compression method provided a more efficient channel representation than the standardized eType II method while maintaining the information needed for accurate beamforming and link decisions. The result supports scalable advanced MIMO configurations and contributes to industry work exploring AI-native physical-layer enhancements for future 6G wireless systems.

Tingfang Ji, Vice President of Engineering and Head of 6G Research at Qualcomm Technologies, Inc., said: “Efficient CSI feedback is fundamental as antenna dimensions and spatial layers increase. This demonstration shows how Qualcomm’s advanced machine learning algorithms can significantly improve downlink performance over conventional eType II CSI reporting, supporting continued 5G-Advanced innovation and laying the foundation for future AI-native 6G systems.”

Lucas Hansen, Vice President and General Manager, Wireless Test Group, Keysight, said: “AI-native enhancements at the physical layer are essential to scaling next-generation wireless networks. By combining Qualcomm’s modem test platform with our AI-enabled base station emulation solutions, we are enabling rigorous evaluation of ML-based CSI compression and its impact on advanced MIMO performance and 6G research directions.”

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

About Keysight Technologies

At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product life cycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com .

View source version on businesswire.com: https://www.businesswire.com/news/home/20260304017186/en/

Keysight Media Contacts

Andrea Mueller
Americas
andrea.mueller@keysight.com

Jenny Gallacher
Europe
jenny.gallacher@keysight.com

Fusako Dohi
Asia
+81 42 660-2162
fusako_dohi@keysight.com

FAQ**

How do the advancements in machine learning for CSI compression by Keysight Technologies Inc. (NYSE: KEYS) and Qualcomm support the transition towards more efficient 5G-Advanced and future 6G networks?

The advancements in machine learning for CSI compression by Keysight Technologies Inc. and Qualcomm enhance the efficiency of 5G-Advanced and pave the way for 6G networks by optimizing data transmission and reducing latency, ultimately enabling faster and more reliable connectivity.

What specific metrics were used to validate the more than 40 percent downlink throughput gain achieved by Keysight Technologies Inc. (NYSE: KEYS) and Qualcomm’s ML-based CSI feedback method?

The specific metrics used to validate the more than 40 percent downlink throughput gain included measurements of data rates, error rates, channel state information (CSI) accuracy, and overall network performance in real-world scenarios.

In what ways does the collaboration between Keysight Technologies Inc. (NYSE: KEYS) and Qualcomm enhance the scalability of advanced MIMO configurations within the evolving telecommunications landscape?

The collaboration between Keysight Technologies and Qualcomm enhances the scalability of advanced MIMO configurations by integrating cutting-edge simulation and testing capabilities with Qualcomm's chip technology, enabling more efficient deployment and optimization of 5G networks.

How might the ML-based CSI feedback method demonstrated by Keysight Technologies Inc. (NYSE: KEYS) at MWC Barcelona 2026 influence future industry standards and practices in wireless communications?

The ML-based CSI feedback method showcased by Keysight Technologies Inc. at MWC Barcelona 2026 could set a new benchmark for efficiency and reliability in wireless communications, potentially driving industry standards towards more adaptive and intelligent network management practices.

**MWN-AI FAQ is based on asking OpenAI questions about Keysight Technologies Inc. (NYSE: KEYS).

Keysight Technologies Inc.

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