11 papers · 1 filter
Generative Decompression: Optimal Lossy Decoding Against Distribution Mismatch
Saeed R. Khosravirad, Ahmed Alkhateeb, Ingrid van de Voorde
This paper addresses optimal decoding strategies in lossy compression where the assumed distribution for compressor design mismatches the actual (true) distribution of the source.…
LWM-Spectro: A Foundation Model for Wireless Baseband Signal Spectrograms
Namhyun Kim, Sadjad Alikhani, Ahmed Alkhateeb
The received in-phase and quadrature (I/Q) baseband signals inherently encode physical-layer and channel characteristics of wireless links. Learning robust and transferable represe…
Integrated Sensing and Communications in Downlink FDD MIMO without CSI Feedback
Namhyun Kim, Juntaek Han, Jinseok Choi +3
In this paper, we propose a precoding framework for frequency division duplex (FDD) integrated sensing and communication (ISAC) systems with multiple-input multiple-output (MIMO).…
Large Wireless Model (LWM): A Foundation Model for Wireless Channels
Sadjad Alikhani, Gouranga Charan, Ahmed Alkhateeb
This paper presents Large Wireless Model (LWM) -- the world's first foundation model for wireless channels. Designed as a task-agnostic model, LWM generates universal, rich, contex…
Learning Beamforming in Cell-Free Massive MIMO ISAC Systems
Umut Demirhan, Ahmed Alkhateeb
Beamforming design is critical for the efficient operation of integrated sensing and communication (ISAC) MIMO systems. ISAC beamforming design in cell-free massive MIMO systems, c…
Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations
Shuaifeng Jiang, Qi Qu, Xiaqing Pan +3
Fully harvesting the gain of multiple-input and multiple-output (MIMO) requires accurate channel information. However, conventional channel acquisition methods mainly rely on pilot…