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Showing 1 to 3 of 3 for “"Receive Processing"”.
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Online Machine Learning for Wireless Communications: Channel Estimation, Receive Processing, and Resource Allocation
… areas such as computer vision, natural language processing, robot control, and gaming. ML also draws significant attention in the wireless communication society. However, applying ML schemes to wireless communication networks is not straightforward, there are several challenges need to addressed: …
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Towards Explainability and Domain Knowledge-inspired Design of Online Real-Time Learning Techniques in NextG Wireless Systems
… division multiplexing (OFDM) and MIMO-OFDM receive processing is established from the ground up with first principles, resulting in enhanced explainability and interpretability of RC-based architectures, thereby turning opaque ``black-box'' models into intuitive ``gray-box'' models. This …
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Towards NextG Receiver: Online Real-Time Machine Learning with Domain Knowledge for Wireless Communications
… online and real-time AI/ML-based methods for the receive processing task in the NextG air interface with a focus on the MIMO orthogonal frequency-division multiplexing (OFDM) symbol detection, orthogonal time frequency space (OTFS) symbol detection, and MIMO-OFDM channel estimation task. To enable …