We propose deep learning based communication methods for adaptive-bandwidth
transmission of images over wireless channels. We consider the scenario in which images …

In the era of artificial intelligence and big data, the demand for data processing has surged,
leading to larger datasets and computation capability. Distributed machine learning (DML) …

With the development of network function virtualization (NFV) and mobile edge computing
(MEC), service function chaining (SFC) can be deployed more flexibly on the network edge …

This paper proposes a network coding scheme that utilizes neural network coding and
steganography technique for Industrial Internet of Things (IIoT). This proposal gives an …

For a wireless sensor network (WSN), we proposed a network coding scheme that adopts a
neural network (NN) instead of methods based on Shannon theory, and this scheme can …

In the mobile edge computing (MEC) environment, tasks can be offloaded to edge servers
for better service. However, the locations of users are not fixed. As users move, tasks need to …

The emerging 5G induces a great diversity of use cases, a multiplication of the number of
connections, an increase in throughput as well as stronger constraints in terms of quality of …

Network coding allows distributed information sources such as sensors to efficiently
compress and transmit data to distributed receivers across a bandwidth-limited network …

Network coding allows network Intermediate nodes to encode on top of data forwarding,
which can improve network transmission efficiency, robustness and security. However …

Résumé Notre décennie voit l'accroissement de l'utilisation des réseaux mobiles pour les
acteurs industriels et administratifs ainsi que pour le grand public grâce à l'introduction de la …