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A co-design-based reliable low-latency and energy-efficient transmission protocol for uwsns
(
MDPI AG
, 2020 , Article)
Recently, underwater wireless sensor networks (UWSNs) have been considered as a powerful technique for many applications. However, acoustic communications in UWSNs bring in huge QoS issues for time-critical applications. ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
(
Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Adversarial Attacks for Image Segmentation on Multiple Lightweight Models
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the powerful ability of data fitting, deep neural networks have been applied in a wide range of applications in many key areas. However, in recent years, it was found that some adversarial samples easily fool the ...
Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Other)
[No abstract available]
Introduction to the Special Section on Artificial Intelligence Security: Adversarial Attack and Defense
(
IEEE Computer Society
, 2021 , Other)
5G and beyond (B5G) networks are leading a digital revolution in telecommunication in both academia and industry. It brings new paradigms in many aspects of people's daily lives due to its advantages. However, it still ...
A lightweight and privacy-preserving authentication protocol for mobile edge computing
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
With the advent of the Internet-of-Things (IoT), vehicular networks and cyber-physical systems, the need for real-time data processing and analysis has emerged as an essential pre-requite for customers' satisfaction. In ...
Millimeter Wave MIMO-OFDM with Index Modulation: A Pareto Paradigm on Spectral- Energy Efficiency Trade-Off
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) has recently received increased attention, due to the potential advantage to balance the trade-off between ...
3D Beamforming Based on Deep Learning for Secure Communication in 5G and beyond Wireless Networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges ...
Green internet of things using UAVs in B5G networks: A review of applications and strategies
(
Elsevier B.V.
, 2021 , Article)
Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
(
Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...