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Deep Reinforcement Learning Based Three-Dimensional Area Coverage With UAV Swarm

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (10)

Unmanned aerial vehicle (UAV) technology is recognized as a promising solution to area coverage problems (ACPs) and has been extensively studied recen......

Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (10)

In this paper, the problem of the trajectory design for a group of energy-constrained drones operating in dynamic wireless network environments is stu......

Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (5)

Real-time information processing is critical to the success of diverse applications from many areas. Age of Information (AoI), as a new metric, has re......

Wideband Beam Tracking in THz Massive MIMO Systems

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (6)

Terahertz (THz) massive multiple-input multiple-output (MIMO) has been considered as one of the promising technologies for future 6G wireless communic......

Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (7)

With the increasing development of Internet of Things (IoT), the upcoming sixth-generation (6G) wireless network is required to support grant-free ran......

Age of Information-Based Wireless Powered Communication Networks With Selfish Charging Nodes

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (5)

This paper investigates a multi-node wireless powered communication network (WPCN), where a hybrid access point (HAP) first charges an Internet of Thi......

A General 3D Space-Time-Frequency Non-Stationary THz Channel Model for 6G Ultra-Massive MIMO Wireless Communication Systems

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (6)

In this paper, a novel three-dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) is proposed for the six......

SIABR: A Structured Intra-Attention Bidirectional Recurrent Deep Learning Method for Ultra-Accurate Terahertz Indoor Localization

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (7)

High-accuracy localization technology has gained increasing attention in gesture and motion control and many diverse applications. Due to multi-path f......

SS-OFDMA: Spatial-Spread Orthogonal Frequency Division Multiple Access for Terahertz Networks

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (6)

How to achieve efficient multiple access for Terahertz (THz) networks is still an open problem. The key obstacle is the extremely narrow angular cover......

Age-Optimal Scheduling for Heterogeneous Traffic With Timely Throughput Constraints

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (5)

We consider a base station supporting two types of traffics, i.e., status update traffic and timely throughput traffic. The goal is to improve the inf......

Defense-Resistant Backdoor Attacks Against Deep Neural Networks in Outsourced Cloud Environment

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (8)

The time and monetary costs of training sophisticated deep neural networks are exorbitant, which motivates resource-limited users to outsource the tra......

UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (10)

Cell-free (CF) massive multiple-input multiple-output (MIMO) is a promising solution to provide uniform good performance for unmanned aerial vehicle (......

Multi-UAV Trajectory Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based Approach

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (10)

In next-generation wireless networks, high-mobility unmanned aerial vehicles (UAVs) are promising to provide content coverage, where users can receive......

Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (8)

Machine learning (ML), especially deep learning (DL) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS......

Online Downlink Multi-User Channel Estimation for mmWave Systems Using Bayesian Neural Network

期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (8)

We propose a Bayesian deep learning framework for model driven online sparse channel estimation task in Multi-user MIMO systems. Tools from Bayesian n......

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