Orthogonal frequency division multiplexing (OFDM) is a popular multicarrier technique in
communication system owing to its robustness against multipath fading and less complexity …

In this paper, a deep learning (DL) framework for the optimization of the resource allocation
in multi-channel cellular systems with device-to-device (D2D) communication is proposed …

Information security occupies a very important part of national security. Chaos
communication can provide high-level physical layer security, but its harsh claims on the …

Emerging recently as a novel concept in communication system design, end-to-end learning
introduces deep neural networks (NNs) to represent the transmitter and receiver functions …

This paper provides a comprehensive survey on recent advances in deep learning (DL)
techniques for the channel coding problems. Inspired by the recent successes of DL in a …

摘要为解决传统混沌同步通信中因收发双方参数难以完全匹配而导致的同步系数较小的问题,
本文提出了一种基于储备池计算的激光混沌同步保密通信方法. 利用混沌加密信号和部分混沌 …

Given the ever-increasing interest in the Internet of Underwater Things (IoUT), various
studies are ongoing to solve some of the practical problems affecting the development of …

The traditional home product design system mainly depends on relatively shallow learning
network, relatively simple embedded technology and Internet of things technology. The …

The underwater acoustic wireless communication networks are generally formed by the
different autonomous underwater acoustic vehicles, and transceivers interconnected to the …

Examples described herein utilize multi-layer neural networks, such as multi-layer recurrent
neural networks to estimate message probability compute data based on encoded data (eg …