5 papers
PrismQuant: Rate-Distortion-Optimal Vector Quantization for Gaussian-Mixture Sources
Bumsu Park, Chanho Park, Youngmok Park +1
For a Gaussian source under mean-squared error (MSE), classical transform coding is rate--distortion (RD) optimal: the Karhunen--Loeve transform (KLT) diagonalizes the covariance,…
CSI Feedback Under Basis Mismatch: Rate-Splitting Transform Coding for FDD Massive MIMO
Youngmok Park, Bumsu Park, Namyoon Lee
In frequency division duplex massive multiple-input multiple-output systems, downlink channel state information must be fed back within a limited uplink budget. While transform cod…
CSI Compression for Massive MIMO-OFDM: Mismatch-Aware Rate-Distortion Trade-offs
Bumsu Park, Youngmok Park, Chanho Park +1
We study channel state information (CSI) compression for wideband frequency division duplex massive multiple-input multiple-output (MIMO) when the base station (BS) reconstructs CS…
Fundamental Limits of CSI Compression in FDD Massive MIMO
Bumsu Park, Youngmok Park, Chanho Park +1
Channel state information (CSI) feedback in frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is fundamentally limited by the high dimensionalit…
Transformer-Based Nonlinear Transform Coding for Multi-Rate CSI Compression in MIMO-OFDM Systems
Bumsu Park, Heedong Do, Namyoon Lee
We propose a novel approach for channel state information (CSI) compression in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, where…