Amid the global rollout of fifth-generation (5G) services, researchers in academia, industry,
and national labo? ratories have been developing proposals for the sixth generation (6G) …

针对经典通信系统模块设计分离, 处理范式受限等因素限制了端到端信息传输性能持续提升的
问题, 提出了面向语义通信的非线性变换编码传输新框架. 首先, 基于变分理论推导了语义通信端 …

Despite deep learning's progress in semantic communication, traditional fixed-length
encoding does not adequately address the variable complexity of semantic content, often …

With the development of sixth generation (6G) networks, semantic communication is treated
as an emerging technology to provide more intelligent communication between two parties …

This paper presents a novel vision transformer (ViT) based deep joint source channel
coding (DeepJSCC) scheme, dubbed DeepJSCC-l++, which can adapt to different target …

With the rapid development of digital communication and the widespread use of the Internet
of Things, multi-view image compression has attracted increasing attention as a …

The joint source-channel coding (JSCC) framework leverages deep learning to learn from
data the best codes for source and channel coding. When the output signal, rather than …

Motivated by deep learning in wireless image transmissions, joint source-channel coding
(JSCC) techniques based on convolutional neural networks (CNNs) can successfully …

The recent deep learning-based joint source-channel coding (deep JSCC) framework has
shown superior performance on end-to-end wireless image transmission without suffering …

This survey articles focuses on emerging connections between the fields of machine
learning and data compression. While fundamental limits of classical (lossy) data …