1 citations · 1 across the 6 of their papers we have counts for
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Block Erasure Channel and Block z-Channel with Bounded Decoders and Finite Blocklength
Bin Han, Yao Zhu, Rafael F. Schaefer +5
Block error rate is a standard metric in finite blocklength (FBL) communication, yet it conflates two qualitatively different failure modes: block confusions, where the decoder sel…
Fourier-Curve Constellations under Tangential Perturbation: Covariance-Aware Soft Demapping on Coded Links
Bin Han, Muxia Sun, H. Vincent Poor +1
A Fourier-curve constellation places points on a closed curve through complex slots. A Gaussian perturbation along the curve's tangent, whether injected as artificial noise…
From Specialist to Large Models: A Paradigm Evolution Towards Semantic-Aware MIMO
Keke Ying, Zhen Gao, Tingting Yang +4
The sixth generation (6G) network is expected to deploy larger multiple-input multiple-output (MIMO) arrays to support massive connectivity, which will increase overhead and latenc…
Protecting Human Activity Signatures in Compressed IEEE 802.11 CSI Feedback
Mohamed Seif, Atsutse Kludze, Yasaman Ghasempour +3
Explicit channel state information (CSI) feedback in IEEE~802.11 conveys \emph{transmit beamforming directions} by reporting quantized Givens rotation and phase angles that paramet…
The Rate-Distortion Function for Sampled Cyclostationary Gaussian Processes with Memory and with Bounded Processing Delay: Extended Version with Proofs
Zikun Tan, Ron Dabora, H. Vincent Poor
We study the rate-distortion function (RDF) for the lossy compression of discrete-time (DT) wide-sense almost cyclostationary (WSACS) Gaussian processes with memory, arising from s…
On the Rate-Distortion Function for Sampled Cyclostationary Gaussian Processes with Memory: Extended Version with Proofs
Zikun Tan, Ron Dabora, H. Vincent Poor
In this work we study the rate-distortion function (RDF) for lossy compression of asynchronously-sampled continuous-time (CT) wide-sense cyclostationary (WSCS) Gaussian processes w…