Semantic communication (SemCom) has received considerable attention for its ability to
reduce data transmission size while maintaining task performance. However, existing works …

We consider the problem of optimizing the quantization intervals (or thresholds) of low-
resolution analog-to-digital converters (ADCs) via the minimization of a Cramér-Rao bound …

Upon the advent of the emerging metaverse and its related applications in Augmented
Reality (AR), the current bit-oriented network struggles to support real-time changes for the …

In this paper we study the expectation maximization (EM) technique for one-bit MIMO-OFDM
detection (OMOD). Arising from the recent interest in massive MIMO with one-bit analog-to …

Although the variational autoencoder (VAE) represents a widely-used deep generative
model, the underlying energy function when applied to continuous data remains poorly …

With the emergence of the metaverse and its applications in representing humans and
intelligent entities in social and related augmented reality (AR) applications. The current bit …

In this paper, we investigate a transmitter and receiver design for a single-user massive
SIMO (single-input multiple-output) system with 1-bit analog-to-digital converters (ADCs) at …

We provide a rigorous framework for characterizing and numerically evaluating the error
probability achievable in the uplink and downlink of a fully digital quantized multiuser …

Message passing algorithms on graphical models offer a low-complexity and distributed
paradigm for performing marginalization from a high-dimensional distribution. However, the …

This article investigates the localization of a mobile station (MS) in a quantized massive
multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) …