Editorial: Fourth Quarter 2023 IEEE Communications Surveys and Tutorials
I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2023. This issue includes 25 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “...
A Survey of mmWave-Based Human Sensing: Technology, Platforms and Applications
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts impacting our life and workspace. mmWave sensing can sense humans and ...
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from “connected things” to “connected intelligence”, featured by ultra high density, large-scale, dynamic heterogeneity, diversified ...
Entanglement-Assisted Quantum Networks: Mechanics, Enabling Technologies, Challenges, and Research Directions
- Zhonghui Li,
- Kaiping Xue,
- Jian Li,
- Lutong Chen,
- Ruidong Li,
- Zhaoying Wang,
- Nenghai Yu,
- David S. L. Wei,
- Qibin Sun,
- Jun Lu
Over the past few decades, significant progress has been made in quantum information technology, from theoretical studies to experimental demonstrations. Revolutionary quantum applications are now in the limelight, showcasing the advantages of quantum ...
A Comprehensive Survey on Full-Duplex Communication: Current Solutions, Future Trends, and Open Issues
Full-duplex (FD) communication is a potential game changer for future wireless networks. It allows for simultaneous transmit and receive operations over the same frequency band, a doubling of the spectral efficiency. FD can also be a catalyst for ...
Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have been gaining significant attention due to the rapidly growing applications of deep learning in communication networks. This survey provides a comprehensive overview of ...
A Survey on Threat Hunting in Enterprise Networks
With the rapidly evolving technological landscape, the huge development of the Internet of Things, and the embracing of digital transformation, the world is witnessing an explosion in data generation and a rapid evolution of new applications that lead to ...
Blockchain Intelligence for Internet of Vehicles: Challenges and Solutions
With the development of communication and networking technologies, the Internet of Vehicles (IoV) has become the foundation of smart transportation. The development of blockchain and Machine Learning (ML) has contributed to the pervasiveness of the IoV, ...
Intrusion Detection in the Automotive Domain: <italic>A Comprehensive Review</italic>
The automotive domain has realized amazing advancements in communication, connectivity, and automation—and at a breakneck pace. Such advancements come with ample benefits, such as the reduction of traffic accidents and the refinement of transit ...
Security and Privacy of IP-ICN Coexistence: A Comprehensive Survey
Today’s Internet is experiencing a massive number of users with a continuously increasing need for data, which is the leading cause of introduced limitations among security and privacy issues. To overcome these limitations, a shift from host-...
Smart Substation Communications and Cybersecurity: A Comprehensive Survey
Electrical grids generate, transport, distribute and deliver electrical power to consumers through a complex Critical Infrastructure which progressively shifted from an air-gaped to a connected architecture. Specifically, Smart Substations are important ...
A Survey of Blockchain and Artificial Intelligence for 6G Wireless Communications
The research on the sixth-generation (6G) wireless communications for the development of future mobile communication networks has been officially launched around the world. 6G networks face multifarious challenges, such as resource-constrained mobile ...
A Survey on X.509 Public-Key Infrastructure, Certificate Revocation, and Their Modern Implementation on Blockchain and Ledger Technologies
- Salabat Khan,
- Fei Luo,
- Zijian Zhang,
- Farhan Ullah,
- Farhan Amin,
- Syed Furqan Qadri,
- Md Belal Bin Heyat,
- Rukhsana Ruby,
- Lu Wang,
- Shamsher Ullah,
- Meng Li,
- Victor C. M. Leung,
- Kaishun Wu
Cyber-attacks are becoming more common against Internet users due to the increasing dependency on online communication in their daily lives. X.509 Public-Key Infrastructure (PKIX) is the most widely adopted and used system to secure online communications ...
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained, low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by artificial intelligence (AI) and security technologies, DT-IIoT ...
Optimal Control and Communication Strategies in Multi-Energy Generation Grid
Multi-energy generation grids (MEGGs) provide a promising solution for reliable operations of cooperative various distributed energy resources (DERs), supply environmentally friendly energy to remote/off-grid areas, and improve overall system performance ...
Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
- Mohamed Amine Ferrag,
- Othmane Friha,
- Burak Kantarci,
- Norbert Tihanyi,
- Lucas Cordeiro,
- Merouane Debbah,
- Djallel Hamouda,
- Muna Al-Hawawreh,
- Kim-Kwang Raymond Choo
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE) applications and future networks (e.g., sixth-generation (6G) networks) has raised a number of operational challenges and limitations, for example in terms of ...
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy ...
A Survey on Integration of Network Communication into Vehicle Real-Time Motion Control
In the initial period of automobile development, the vast majority of researchers would never have guessed network communications would be applied to vehicles one day. After the advent of CAN, a tremendous amount of intra-vehicle network communication ...
A Tutorial on the Characterisation and Modelling of Low Layer Functional Splits for Flexible Radio Access Networks in 5G and Beyond
- Jordi Pérez-Romero,
- Oriol Sallent,
- Antoni Gelonch,
- Xavier Gelabert,
- Bleron Klaiqi,
- Marcus Kahn,
- David Campoy
The centralization of baseband (BB) functions in a radio access network (RAN) towards data processing centres is receiving increasing interest as it enables the exploitation of resource pooling and statistical multiplexing gains among multiple cells, ...
Traffic-Aware Reliable Scheduling in TSCH Networks for Industry 4.0: A Systematic Mapping Review
Recently, mission-critical Industrial Internet of Things (IIoT) applications such as system automation, predictive maintenance, and anomaly detection have come into the spotlight of Industry 4.0 thanks to the promised benefits. The IEEE 802.15.4 Time-...
Boosting TCP & QUIC Performance in mmWave, Terahertz, and Lightwave Wireless Networks: A Survey
Emerging wireless systems target to provide multi-Gbps data rates for each user, which can be achieved by utilizing ultra-wide channels available at mmWave, terahertz, and lightwave frequencies. In contrast to the traditional spectrum below 6 GHz, these ...
Combining Federated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions
Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to developing UI lies in the involvement of the large number of network ...
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society. Governments and enterprises are deploying innumerable cameras for a variety of applications, e.g., law enforcement, emergency ...
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
- Enrique Tomás Martínez Beltrán,
- Mario Quiles Pérez,
- Pedro Miguel Sánchez Sánchez,
- Sergio López Bernal,
- Gérôme Bovet,
- Manuel Gil Pérez,
- Gregorio Martínez Pérez,
- Alberto Huertas Celdrán
In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the most common approach in the literature, where a central entity creates a ...
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generation wireless systems. This led to a large body of research work that applies ML techniques to solve problems in different layers of the wireless ...
Toward Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing research interest in recent years and are gradually being utilized in various aspects of our society. The growing complexity of UAV applications such as disaster management, ...