4.8 Article

6G Internet of Things: A Comprehensive Survey

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Energy-Efficient Fog Computing for 6G-Enabled Massive IoT: Recent Trends and Future Opportunities

Usman Mahmood Malik et al.

Summary: This article highlights the importance of fog computing in providing storage and computational services in future 6G networks. It discusses the need for energy-efficient techniques in IoT applications and categorizes and describes recent work on energy-efficient fog computing solutions. Future opportunities and challenges in designing energy-efficient techniques for fog computing in the future 6G massive IoT network are also discussed.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Computer Science, Information Systems

DRLR: A Deep-Reinforcement-Learning-Based Recruitment Scheme for Massive Data Collections in 6G-Based IoT Networks

Ting Li et al.

Summary: This article proposes a novel machine learning-based approach to collect data from multiple sensor devices through the cooperation between vehicles and unmanned aerial vehicles (UAVs) in the Internet of Things (IoT). The article utilizes a genetic algorithm to select vehicular collectors and designs a deep reinforcement learning-based route policy for UAVs to plan collection routes, achieving low-cost and high-coverage data transmission.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Computer Science, Information Systems

The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges

Yushan Siriwardhana et al.

Summary: The COVID-19 pandemic has had a massive impact globally, with technology playing a crucial role in enabling digital health services and solutions, particularly through 5G systems.

ICT EXPRESS (2021)

Article Automation & Control Systems

Toward ML-Based Energy-Efficient Mechanism for 6G Enabled Industrial Network in Box Systems

Ali Hassan Sodhro et al.

Summary: This article discusses the application of machine learning techniques in 6G technologies, as well as a series of novel methods and architectures proposed to address communication challenges in industrial NIB applications.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Automation & Control Systems

A Blockchain-Based Secure Data Aggregation Strategy Using Sixth Generation Enabled Network-in-Box for Industrial Applications

Hui Lin et al.

Summary: The integration of 6G with NIB enables many new applications in fields such as geoscience, robotics, and industrial automation. While providing fault tolerance and reducing traffic volume on backhaul links, the security of data aggregation remains a key challenge in industrial applications and services.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Automation & Control Systems

Magnum: A Distributed Framework for Enabling Transfer Learning in B5G-Enabled Industrial IoT

Pallav Kumar Deb et al.

Summary: This article introduces a lightweight blockchain-inspired framework called Magnum, which stores transfer learning models in blocks. By storing these blocks on nearby fog nodes, industrial plants can easily access pretrained base models for tuning before deployment. Magnum is designed for B5G scenarios to reduce block transfer time, and implements a demand-centric distribution scheme to further reduce search and access time. Through experiments and comparisons, Magnum demonstrates accuracy retention of models with maximum CPU and memory usage of 80% and 6% respectively. Additionally, Magnum can write models as large as 17 Mb on blocks in 10 seconds and fetch them in 16 ms.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Review Computer Science, Information Systems

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

Xiaohu You et al.

Summary: 6G wireless communication networks are expected to provide global coverage, enhanced spectral/energy/cost efficiency, better intelligence level and security, relying on new enabling technologies such as air interface, transmission technologies, and novel network architecture.

SCIENCE CHINA-INFORMATION SCIENCES (2021)

Article Computer Science, Information Systems

Robust Design for NOMA-Based Multibeam LEO Satellite Internet of Things

Jianhang Chu et al.

Summary: This article investigates massive access in a B5G multibeam LEO satellite IoT network using NOMA scheme and proposes robust beamforming algorithms against channel phase uncertainty to minimize total power consumption in different IoT application scenarios, demonstrating effective energy savings.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Automation & Control Systems

Optimization of Achievable Rate in the Multiuser Satellite IoT System With SWIPT and MEC

Jiafei Fu et al.

Summary: This study proposes a new multiuser IoT system design that uses satellite links to provide communication services, allowing terminals to download and upload data through APs. By utilizing SWIPT and MEC technologies, combined with FD and MIMO technologies, as well as hybrid energy storage, the performance of the IoT system is optimized. Efficiency is enhanced by jointly optimizing parameters such as CPU frequency.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Computer Science, Information Systems

Accurate Interpretation of the Online Learning Model for 6G-Enabled Internet of Things

Jinchao Huang et al.

Summary: This article focuses on the interpretation of machine learning algorithms to make them applicable to 6G IoT networks, particularly on the GBDT2NN model. By explaining individual predictions and exploring if the explanations can improve the approximation process, the article proposes two methods to obtain interpretations, with experiments showing better performance in explanations and predictions.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Engineering, Electrical & Electronic

Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things

Chengxiao Liu et al.

Summary: This paper investigates multi-domain resource allocation in a cognitive satellite-UAV network, consisting of a satellite and a swarm of UAVs, in order to improve the efficiency of massive access in wide areas. The proposed solutions include a cell-free on-demand coverage and opportunistic spectrum sharing, with iterative resource allocation algorithms to enhance network efficiency and ensure user fairness. Simulation results show the superiority of the algorithms and suggest a promising approach to efficiently serve wide-area IoT devices in the upcoming 6G era.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2021)

Article Engineering, Electrical & Electronic

Deep Reinforcement Learning Based Massive Access Management for Ultra-Reliable Low-Latency Communications

Helin Yang et al.

Summary: With the rapid deployment of Internet of Things (IoT), fifth-generation (5G) and beyond 5G networks are needed to support massive access of devices over limited radio spectrum. This paper proposes a joint energy-efficient subchannel assignment and power control approach to maximize network energy efficiency and meet different QoS requirements, while addressing reliability and latency constraints in the massive access scenario through distributed cooperative learning based on deep reinforcement learning.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2021)

Article Computer Science, Information Systems

Toward 6G Architecture for Energy-Efficient Communication in IoT-Enabled Smart Automation Systems

Ali Hassan Sodhro et al.

Summary: This article focuses on capturing energy-efficient communication and user's QoE level through UT devices during multimedia transmission. It proposes a QoS-based joint energy and entropy optimization (QJEEO) algorithm, develops a 6G-driven multimedia data structure model for QoE evaluation with acquisition time, and establishes the relationship between subjective test score and objective performance metrics for IoT-based multimedia services.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Information Systems

Energy-Efficient Resource Allocation Strategy in Massive IoT for Industrial 6G Applications

Amrit Mukherjee et al.

Summary: This article focuses on addressing the energy consumption issue in a massive IoT system model for industrial 6G applications using a multiagent system, and utilizes distributed artificial intelligence to cluster sensor nodes for performance optimization.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Information Systems

Big Data Analytics for 6G-Enabled Massive Internet of Things

Zhihan Lv et al.

Summary: The research aims to improve the data analysis efficiency and access performance of large-scale IoT devices through big data analysis technology, and enhance system performance through node priorities and local data utilization. In addition, 6G technology and interference thresholds have a significant impact on the energy efficiency of data transmission.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Information Systems

Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

Li Zhen et al.

Summary: Satellite communication system is crucial for IoT applications in the future. The main challenge lies in accommodating massive RA requests while minimizing energy consumption. The article focuses on reliable RA preamble design and detection to enhance access efficiency in high-dynamic LEO scenarios through the use of a long preamble sequence constructed from a single root ZC sequence.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Telecommunications

Reconfigurable Intelligent Surfaces in 6G: Reflective, Transmissive, or Both?

Shuhao Zeng et al.

Summary: This letter explores a downlink multi-user RIS-assisted communication network, discussing the three types of RIS implementations and their performance under specific user distributions. Numerical results validate the analysis.

IEEE COMMUNICATIONS LETTERS (2021)

Article Automation & Control Systems

Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks

Yunlong Lu et al.

Summary: The article introduces digital twin wireless networks (DTWN) and a blockchain empowered federated learning framework for collaborative computing and enhanced data privacy in industrial Internet of Things. By jointly considering digital twin association, training data batch size, and bandwidth allocation, an optimization problem is formulated and solved using multiagent reinforcement learning to find the optimal solution.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Engineering, Electrical & Electronic

Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks

Benjamin Sliwa et al.

Summary: Utilizing intelligence on end-edge-cloud devices to achieve more efficient network resource utilization.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

A Many-Objective Optimization Based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G

Zhixia Zhang et al.

Summary: A novel weight-based ensemble machine learning algorithm was designed to identify abnormal messages in vehicular Controller Area Network (CAN) bus network, along with a model based on many-objective optimization for intrusion detection. Experimental results showed significant improvements in security and performance.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks

Shunpu Tang et al.

Summary: This paper investigates the optimization of federated edge learning in UAV-enabled IoT networks, considering the limited batteries of devices. The study proposes a strategy based on deep deterministic policy gradient to jointly allocate computational resources and wireless bandwidth, aiming to reduce system cost and improve FEEL performance effectively. Simulation results demonstrate that the proposed strategy outperforms conventional methods by enabling devices to complete all rounds of FEEL with limited batteries.

PHYSICAL COMMUNICATION (2021)

Article Computer Science, Information Systems

LEO-Satellite-Assisted UAV: Joint Trajectory and Data Collection for Internet of Remote Things in 6G Aerial Access Networks

Ziye Jia et al.

Summary: This article explores LEO satellite-assisted UAV data collection and transmission modes to meet the needs of IoRT sensors. By minimizing the total energy cost of UAVs while ensuring data transmission for IoRT, an efficient solution is proposed.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Information Systems

A Novel Nonstationary 6G UAV-to-Ground Wireless Channel Model With 3-D Arbitrary Trajectory Changes

Hengtai Chang et al.

Summary: The article introduces a novel 3D non-stationary geometric stochastic model for UAV-to-ground MIMO channels, taking into account distinct characteristics and analyzing statistical properties under different frequencies and scenarios. The accuracy of the proposed model is validated by comparison with available channel measurements.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Hardware & Architecture

Blockchain-Empowered Trusted Networking for Unmanned Aerial Vehicles in the B5G Era

Xin Jian et al.

Summary: This article introduces a blockchain-powered trusted networking framework for UAANET to tackle the challenges of high dynamic topology and lack of trust. By proposing control signaling and algorithms, a new solution is provided for trusted networking in UAANET.

IEEE NETWORK (2021)

Article Computer Science, Information Systems

Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective

Dinh C. Nguyen et al.

Summary: The rapid deployment of mobile computing and IoT networks, along with the increasing communication and sensing capabilities of wireless systems, has led to a new world of data-driven AI. The merging of AI and wireless communications, known as Wireless AI, is seen as a key enabler for future intelligent network evolution. This innovative paradigm pushes AI frontiers to the network edge and holds great potential for the development of intelligent wireless networks.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)

Article Computer Science, Information Systems

Federated Learning for Internet of Things: A Comprehensive Survey

Dinh C. Nguyen et al.

Summary: The Internet of Things and artificial intelligence are increasingly intertwined in our daily lives, with Federated Learning emerging as a distributed collaborative AI approach that can play a vital role in intelligent IoT applications. This article provides a comprehensive survey of the emerging applications of FL in IoT networks and highlights its potential in various fields, paving the way for future research directions.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2021)

Article Engineering, Electrical & Electronic

A Software-Defined Opto-Acoustic Network Architecture for Internet of Underwater Things

Abdulkadir Celik et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Engineering, Electrical & Electronic

Requirements and Enablers of Advanced Healthcare Services over Future Cellular Systems

Giulia Cisotto et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Engineering, Electrical & Electronic

Toward 6G Networks: Use Cases and Technologies

Marco Giordani et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Engineering, Electrical & Electronic

Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks

Yueyue Dai et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Computer Science, Information Systems

A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems

Lalit Chettri et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective

Hadi Habibzadeh et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

Decision Fusion for IoT-Based Wireless Sensor Networks

Mohammad A. Al-Jarrah et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

Potential key technologies for 6G mobile communications

Yifei Yuan et al.

SCIENCE CHINA-INFORMATION SCIENCES (2020)

Review Computer Science, Hardware & Architecture

Blockchain for 5G and beyond networks: A state of the art survey

Dinh C. Nguyen et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)

Article Engineering, Electrical & Electronic

Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

Solmaz Niknam et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Computer Science, Hardware & Architecture

A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

Walid Saad et al.

IEEE NETWORK (2020)

Article Engineering, Electrical & Electronic

Beyond D2D: Full Dimension UAV-to-Everything Communications in 6G

Shuhang Zhang et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Engineering, Electrical & Electronic

Terahertz communications at various atmospheric altitudes

Akhtar Saeed et al.

PHYSICAL COMMUNICATION (2020)

Article Computer Science, Information Systems

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

Shuiguang Deng et al.

IEEE INTERNET OF THINGS JOURNAL (2020)

Article Computer Science, Information Systems

Blockchain based integrated security measure for reliable service delegation in 6G communication environment

Gunasekaran Manogaran et al.

COMPUTER COMMUNICATIONS (2020)

Article Computer Science, Hardware & Architecture

Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks

Changyang She et al.

IEEE NETWORK (2020)

Article Telecommunications

Cognition in UAV-Aided 5G and Beyond Communications: A Survey

Zaib Ullah et al.

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (2020)

Article Engineering, Electrical & Electronic

Toward Self-Learning Edge Intelligence in 6G

Yong Xiao et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Engineering, Electrical & Electronic

Trustworthy Deep Learning in 6G-Enabled Mass Autonomy: From Concept to Quality-of-Trust Key Performance Indicators

Chen Li et al.

IEEE VEHICULAR TECHNOLOGY MAGAZINE (2020)

Article Computer Science, Information Systems

Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning

Dinh C. Nguyen et al.

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2020)

Article Engineering, Electrical & Electronic

Distributed Estimation Framework for Beyond 5G Intelligent Vehicular Networks

Weijie Yuan et al.

IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY (2020)

Proceedings Paper Computer Science, Artificial Intelligence

Blockchain and Edge Computing for Decentralized EMRs Sharing in Federated Healthcare

Dinh C. Nguyen et al.

2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) (2020)

Proceedings Paper Computer Science, Artificial Intelligence

ETSI Multi-Access Edge Computing for Dynamic Adaptive Streaming in Information Centric Networks

Marsa Rayani et al.

2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) (2020)

Article Computer Science, Information Systems

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

Dinh C. Nguyen et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2020)

Article Computer Science, Hardware & Architecture

ENABLING 5G ON THE OCEAN: A HYBRID SATELLITE-UAV-TERRESTRIAL NETWORK SOLUTION

Xiangling Li et al.

IEEE WIRELESS COMMUNICATIONS (2020)

Article Computer Science, Information Systems

Routing Protocols for Wireless Nanosensor Networks and Internet of Nano Things: A Comprehensive Survey

Areej Omar Balghusoon et al.

IEEE ACCESS (2020)

Article Engineering, Electrical & Electronic

Reconfigurable Intelligent Surface Based RF Sensing: Design, Optimization, and Implementation

Jingzhi Hu et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)

Article Engineering, Electrical & Electronic

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Marco Di Renzo et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2020)

Proceedings Paper Computer Science, Theory & Methods

Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks

Benjamin Sliwa et al.

2020 2ND 6G WIRELESS SUMMIT (6G SUMMIT) (2020)

Proceedings Paper Computer Science, Theory & Methods

Massive Connectivity in 5G and Beyond: Technical Enablers for the Energy and Automotive Verticals

Charalampos Kalalas et al.

2020 2ND 6G WIRELESS SUMMIT (6G SUMMIT) (2020)

Article Computer Science, Information Systems

A Prospective Look: Key Enabling Technologies, Applications and Open Research Topics in 6G Networks

Lina Bariah et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Patient-Centric HetNets Powered by Machine Learning and Big Data Analytics for 6G Networks

Mohammed S. Hadi et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Towards 6G in-X Subnetworks With Sub-Millisecond Communication Cycles and Extreme Reliability

Ramoni Adeogun et al.

IEEE ACCESS (2020)

Article Telecommunications

Security and privacy in 6G networks: New areas and new challenges

Minghao Wang et al.

DIGITAL COMMUNICATIONS AND NETWORKS (2020)

Article Engineering, Electrical & Electronic

Reconfigurable Intelligent Surfaces for Smart Cities: Research Challenges and Opportunities

Steven Kisseleff et al.

IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (2020)

Article Engineering, Electrical & Electronic

6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

Mostafa Zaman Chowdhury et al.

IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY (2020)

Article Computer Science, Hardware & Architecture

6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence

Guan Gui et al.

IEEE WIRELESS COMMUNICATIONS (2020)

Article Computer Science, Hardware & Architecture

Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends

Chongwen Huang et al.

IEEE WIRELESS COMMUNICATIONS (2020)

Article Engineering, Electrical & Electronic

Artificial-Intelligence-Enabled Air Interface for 6G: Solutions, Challenges, and Standardization Impacts

Shuangfeng Han et al.

IEEE COMMUNICATIONS MAGAZINE (2020)

Article Computer Science, Information Systems

Survival Study on Blockchain Based 6G-Enabled Mobile Edge Computation for IoT Automation

Ramesh Sekaran et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

6G and Beyond: The Future of Wireless Communications Systems

Ian F. Akyildiz et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research

Ahmed Nasrallah et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)

Article Engineering, Electrical & Electronic

Future of Ultra Dense Networks Beyond 5G Harnessing Heterogeneous Moving Cells

Sergey Andreev et al.

IEEE COMMUNICATIONS MAGAZINE (2019)

Article Computer Science, Hardware & Architecture

5G and Beyond: Smart Devices as Part of the Network Fabric

Baldomero Coll-Perales et al.

IEEE NETWORK (2019)

Article Engineering, Electrical & Electronic

IEEE 802.11be Extremely High Throughput: The Next Generation of Wi-Fi Technology Beyond 802.11ax

David Lopez-Perez et al.

IEEE COMMUNICATIONS MAGAZINE (2019)

Article Engineering, Electrical & Electronic

Generalized Hybrid Beamforming for Vehicular Connectivity Using THz Massive MIMO

Sherif Adeshina Busari et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Article Engineering, Electrical & Electronic

6G WIRELESS NETWORKS Vision, Requirements, Architecture, and Key Technologies

Zhengquan Zhang et al.

IEEE VEHICULAR TECHNOLOGY MAGAZINE (2019)

Article Engineering, Electrical & Electronic

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

Zhi Zhou et al.

PROCEEDINGS OF THE IEEE (2019)

Article Computer Science, Information Systems

Distributed and Multilayer UAV Networks for Next-Generation Wireless Communication and Power Transfer: A Feasibility Study

Yiming Huo et al.

IEEE INTERNET OF THINGS JOURNAL (2019)

Article Engineering, Electrical & Electronic

Hardware-Constrained Millimeter-Wave Systems for 5G: Challenges, Opportunities, and Solutions

Xi Yang et al.

IEEE COMMUNICATIONS MAGAZINE (2019)

Article Computer Science, Information Systems

Deployment Algorithms of Flying Base Stations: 5G and Beyond With UAVs

Haijun Wang et al.

IEEE INTERNET OF THINGS JOURNAL (2019)

Article Computer Science, Information Systems

Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

Dinh C. Nguyen et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond

Theodore S. Rappaport et al.

IEEE ACCESS (2019)

Article Engineering, Electrical & Electronic

Terahertz Technologies to Deliver Optical Network Quality of Experience in Wireless Systems Beyond 5G

Alexandros-Apostolos A. Boulogeorgos et al.

IEEE COMMUNICATIONS MAGAZINE (2018)

Article Computer Science, Information Systems

Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture

Mengmeng Yang et al.

IEEE ACCESS (2018)

Article Computer Science, Hardware & Architecture

ALL TECHNOLOGIES WORK TOGETHER FOR GOOD: A GLANCE AT FUTURE MOBILE NETWORKS

Animesh Yadav et al.

IEEE WIRELESS COMMUNICATIONS (2018)

Article Engineering, Electrical & Electronic

SIGNATURE-BASED NONORTHOGONAL MASSIVE MULTIPLE ACCESS FOR FUTURE WIRELESS NETWORKS

Mostafa Mohammadkarimi et al.

IEEE VEHICULAR TECHNOLOGY MAGAZINE (2018)

Article Computer Science, Information Systems

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

S. M. Riazul Islam et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)

Article Computer Science, Information Systems

Exploiting Interference for Energy Harvesting: A Survey, Research Issues, and Challenges

Nan Zhao et al.

IEEE ACCESS (2017)

Article Computer Science, Information Systems

Energy Efficiency Perspectives of Femtocells in Internet of Things: Recent Advances and Challenges

Fadi M. Al-Turjman et al.

IEEE ACCESS (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective

Seong Joon Oh et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Article Engineering, Electrical & Electronic

Internet of Things in the 5G Era: Enablers, Architecture, and Business Models

Maria Rita Palattella et al.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2016)

Article Computer Science, Information Systems

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

Ala Al-Fuqaha et al.

IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2015)