5 papers
Wireless Digital Twin Calibration: Refining DFT-Domain Channel Information
Hao Luo, Saeed R. Khosravirad, Ahmed Alkhateeb
Wireless digital twins can be leveraged to provide site-specific synthetic channel information through precise physical modeling and signal propagation simulations. This can help r…
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.…
Generative Decoding of Compressed CSI for MIMO Precoding Design
Hao Luo, Saeed R. Khosravirad, Ahmed Alkhateeb
Massive MIMO systems can enhance spectral and energy efficiency, but they require accurate channel state information (CSI), which becomes costly as the number of antennas increases…
Digital Twin Aided Massive MIMO CSI Feedback: Exploring the Impact of Twinning Fidelity
Hao Luo, Shuaifeng Jiang, Saeed R. Khosravirad +1
Deep learning (DL) techniques have demonstrated strong performance in compressing and reconstructing channel state information (CSI) while reducing feedback overhead in massive MIM…
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design
Saeed R. Khosravirad
This paper introduces rateless joint source-channel coding (rateless JSCC). The code is rateless in that it is designed and optimized for a continuum of coding rates such that it a…