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most citedModel-Driven End-to-End Learning for Integrated Sensing and Communication

5 citations · 7 across the 8 of their papers we have counts for

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eess.SP2022★ 5 cited

Model-Driven End-to-End Learning for Integrated Sensing and Communication

José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin +2

Integrated sensing and communication (ISAC) is envisioned to be one of the pillars of 6G. However, 6G is also expected to be severely affected by hardware impairments. Under such i…

eess.SP2022

Spatial Signal Design for Positioning via End-to-End Learning

Steven Rivetti, Josè Miguel Mateos-Ramos, Yibo Wu +5

This letter considers the problem of end-to-end learning for joint optimization of transmitter precoding and receiver processing for mmWave downlink positioning. Considering a mult…