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Keysight Technologies, Inc. announced that in collaboration with Qualcomm Technologies Inc., it has demonstrated data throughput speeds in the uplink of 3.5 Gbps using 5G NR-DC with mmWave carrier aggregation.
Keysight Technologies, Inc. announced that KT Corporation, formerly Korea Telecom, a South Korean mobile operator, has selected Keysight's 5G device test solution to verify advanced 5G NR features critical in delivering industry-leading 5G services.
Keysight Technologies, Inc. announced that the company is first to submit 5G NR protocol test cases to 3GPP, enabling device makers to verify enhanced network slicing and power saving features as specified in Release 16.
Keysight Technologies, Inc announced that the company's 5G test tools have been selected by Eurofins Electrical & Electronics (E&E) Taiwan to address the 5G device conformance validation and regulatory market.
Modelithics® announced that version 21.2 of the Modelithics COMPLETE Library for Keysight PathWave RF Synthesis (Genesys) is now available and includes compatibility with Genesys 2022.
Keysight Technologies, Inc. participated in the third global Plugfest event organized by the O-RAN ALLIANCE, accelerating development of technologies with open standard interfaces.
Modelithics announced the Modelithics System Components Library for Keysight’s PathWave System Design software, with models for system-level components like amplifiers, filters, attenuators, couplers and packages.
Keysight Technologies, Inc. is first to gain approval from the GCF for a conformance test case that enables chipset vendors to verify internet protocol (IP) multimedia subsystem (IMS) based eCall functionality, advancing in-vehicle emergency call capabilities over 4G LTE networks.
Keysight Technologies, Inc. announced it is first to gain approval from the Global Certification Forum (GCF) for 5G new radio (NR) protocol conformance test cases based on 3GPP Release 16 (Rel-16) specifications.
Keysight Live from the Lab, a virtual event, will cover how artificial intelligence/machine learning test automation reduces the software lifecycle, reduces costs and improves customer experience