en.Wedoany.com Reported - Keysight Technologies has partnered with NTT Docomo and NTT to accelerate 6G channel modeling and wireless communication simulation based on real-world radio propagation measurement data. This collaboration is part of a previously signed memorandum of understanding on 6G wireless communication design, testing, and measurement technologies. Initial progress has been made in measurement-driven channel modeling and distributed MIMO simulation, providing researchers with more reliable verification methods for evaluating next-generation wireless concepts.
As 6G research advances, the industry is increasingly focusing on the performance of wireless systems in complex real-world environments, including urban areas, indoor venues, and transportation corridors. Field testing is costly and difficult to replicate, while simplified laboratory models fail to fully capture propagation effects that impact beamforming, mobility, and reliability. More realistic channel modeling and scalable simulations are becoming increasingly critical for evaluating next-generation wireless architectures before deployment.
In this collaboration, Keysight and DOCOMO are using real-world radio propagation measurement data, such as channel impulse responses, to optimize channel models, enabling laboratory wireless simulations to more accurately represent complex environments. Meanwhile, Keysight and NTT are advancing simulation-based evaluation of distributed MIMO systems, where geographically distributed antennas work together to improve coverage, capacity, and reliability. The team is combining high-fidelity channel models with advanced ray-tracing propagation techniques to achieve more scalable and repeatable evaluations of next-generation 6G architectures. Preliminary results are planned to be showcased at the EuCNC & 6G Summit in Málaga, Spain, in 2026.
Peng Cao, Vice President and General Manager of Keysight's Wireless Test Division, stated that the company is helping the 6G ecosystem accelerate innovation with greater confidence by combining real-world measurement data with advanced modeling and simulation, providing repeatable verification for next-generation architectures while reducing the risk of transitioning from research to deployment.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
