Manufaqtury запустила цифровой двойник бизнес-центра в платформе «Призма»
В платформе для управления коммерческой недвижимостью «Призма» (Prysm) появился цифровой двойник здания. Он связывает...
To reduce computational costs of obtaining channel state information in 5G NR networks, three approaches are studied within a calibrated 3D digital twin: generalizing the channel twin, enhancing performance with a neural receiver, and a data-driven interpolation framework for scalability. The goal is to meet strict microsecond latency budgets of OFDM symbols.
The work demonstrates using digital twins to accelerate inference in telecom infrastructure, resonating with large-scale system modeling tasks.
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