Multinode communication, which refers to the interaction among multiple devices, has
attracted lots of attention in many Internet of Things (IoT) scenarios. However, its huge …

Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …

Joint source-channel coding (JSCC) has achieved great success due to the introduction of
deep learning (DL). Compared to traditional separate source-channel coding (SSCC) …

Collaborative Intelligence (CI) has emerged as a promising framework for deploying Artificial
Intelligence (AI) models on resource-constrained edge devices. In CI, the AI model is …

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 …

We consider multi-user semantic communications over broadcast channels. While most
existing works consider that each receiver requires either the same or independent semantic …

With the wide application of deep learning (DL) across various fields, deep joint source–
channel coding (DeepJSCC) schemes have emerged as a new coding approach for image …

We study deep joint source-channel coding (JSCC) in a distributed dual-view scenario
where the sources are correlated images and the channels are independent. The …

In Collaborative Intelligence (CI), Artificial Intelligence (AI) models are split between edge
devices and cloud. Features extracted from input on edge devices are transmitted to the …

This work is concerned with robust distributed multi-view image transmission over a severe
fading channel with imperfect channel state information (CSI), wherein the sources are …