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Data Science and Artificial Intelligence

Irena Atov, Kwang-Cheng Chen, Ahmed E. Kamal, Malamati Louta
2020 IEEE Communications Magazine  
Their focus is on deep learning algorithms, while they additionally discuss the integration of their proposed solution in the 5G architecture.  ...  and key factors identified for efficiently deploying and integrating AI functionalities in 5G and beyond networks.  ...  Their focus is on deep learning algorithms, while they additionally discuss the integration of their proposed solution in the 5G architecture.  ... 
doi:10.1109/mcom.2020.9141187 fatcat:kszk7ystfbdo3bphkjunwr4ns4

Guest Editorial: Special Issue on Computational Intelligence for Communications and Sensing

Qilian Liang, Gary G. Yen, Tariq S. Durrani, Wei Wang, Xin Wang
2020 IEEE Transactions on Emerging Topics in Computational Intelligence  
In the sixth paper, Person Re-identification based on Heterogeneous Part-based Deep Network in Camera Networks," it proposes a new deep learning model named heterogeneous part-based deep network (HPDN)  ...  The fourth paper, Tensor Deep Learning Model for Heterogeneous Data Fusion in Internet of Things, presents a deep learning calculation model called tensor deep learning (TDL), which further improves big  ... 
doi:10.1109/tetci.2019.2963469 fatcat:voiuw7yb4bfarkbuwgoihaa7ny

Federated Learning for 6G Communications: Challenges, Methods, and Future Directions [article]

Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato
2020 arXiv   pre-print
We then describe key technical challenges, the corresponding federated learning methods, and open problems for future research on federated learning in the context of 6G communications.  ...  It is generally believed that 6G will be established on ubiquitous Artificial Intelligence (AI) to achieve data-driven Machine Learning (ML) solutions in heterogeneous and massive-scale networks.  ...  Secure Federated Learning For 6G Due to the wide range of 6G network connections, FL will suffer malicious attacks from heterogeneous networks, heterogeneous devices, and malicious participants during  ... 
arXiv:2006.02931v2 fatcat:df3bzirq2fcpnp7h3kagdgamiy

Block5GIntell: Blockchain for AI-Enabled 5G Networks

A. E. Azzaoui, S. K. Singh, Y. Pan, J. H. Park
2020 IEEE Access  
In this article, we present a comprehensive intelligence and secure data analytics framework for 5G networks based on the convergence of Blockchain and AI named "Block5GIntell".  ...  The introduction of new technologies and advanced features in the 5G network raises new challenges for network operators, and merging Artificial Intelligence (AI) is one of the effective solutions to address  ...  In this case, Deep Learning can be very effective [69] .  ... 
doi:10.1109/access.2020.3014356 fatcat:hzp4llu4zfezppyk4w6jku3yxe

Internet of Vehicles

Xuemin Shen, Romano Fantacci, Shanzhi Chen
2020 Proceedings of the IEEE  
Conventional vehicular ad hoc networks (VANETs) are often operated in the ad hoc mode and mainly focus on road safety applications based on the connections between vehicles and roadside units (RSUs).  ...  V ehicular communication networks have emerged to enable numerous vehicular data services and applications.  ...  It also describes in detail how to leverage deep learning to solve difficult optimization problems for resource allocation and deep reinforcement learning for direct answers to many resource allocation  ... 
doi:10.1109/jproc.2020.2964107 fatcat:kmmjdv3slvgz7e5tmw3x3xqb6a

5G Wireless Communication Networks: Challenges in Security and Privacy

Yi Qian
2020 IEEE wireless communications  
More specifically, he has research and industry experience in wireless communications and networks, wireless sensor networks, vehicular communication networks, information and communication network security  ...  His research interests include wireless communications and networks, and information and communication network security.  ...  In the 12th article, "Deep Learning for Wireless Communications: An Emerging Interdisciplinary Paradigm," L.  ... 
doi:10.1109/mwc.2020.9170259 fatcat:f5wmfnfvszbszgbv2oxdk64pn4

Guest Editorial Special Issue on Intent-Based Networking for 5G-Envisioned Internet of Connected Vehicles

Sahil Garg, Mohsen Guizani, Ying-Chang Liang, Fabrizio Granelli, Neeli Prasad, Ranga Rao Venkatesha Prasad
2021 IEEE transactions on intelligent transportation systems (Print)  
However, as we are moving towards the 5G communication era, the data generated by connected vehicles are expected to grow exponentially; which in turn brings significant challenges to 5G.  ...  Moreover, with the development of massive multiple-input-multiple-output (MIMO), non-orthogonal multiple access (NOMA), terahertz (THz) frequencies, millimeterwave (mmWave), and heterogeneous networks  ...  system by investigating deep reinforcement learning (DRL) for 5G-envisioned IoCVs, which can dynamically orchestrate edge computing and content caching to improve the profits of mobile network operator  ... 
doi:10.1109/tits.2021.3101259 fatcat:gwasd62i7jdkfn4vjkvtenqejm

Guest Editorial: Edge Intelligence for Beyond 5G Networks

Yan Zhang, Zhiyong Feng, Hassnaa Moustafa, Feng Ye, Usman Javaid, Chunfen Cui
2021 IEEE wireless communications  
This is a leading study on exploring machine learning and deep learning in edge intelligence 5G networks.  ...  In the article "Deep Learning at the Edge for Channel Estimation in Beyond-5G In Massive MIMO", Belgiovine et al. propose to use deep learning via a Multi-Layer Perceptron architecture that exceeds the  ... 
doi:10.1109/mwc.2021.9430853 fatcat:aiq5lqtporgwbhnme7zflxbao4

Artificial Intelligence for 5G Wireless Systems: Opportunities, Challenges, and Future Research Directions [article]

Youness Arjoune, Saleh Faruque
2020 arXiv   pre-print
for leveraging AI in 5G wireless communications.  ...  Subsequently, many researchers applied AI in many aspects of 5G wireless communication design including radio resource allocation, network management, and cyber-security.  ...  It is necessary to have a security approach to boost the integration of deep learning in wireless communications. 5) Security: The security of deep learning models itself in another challenge, as neural  ... 
arXiv:2009.04943v1 fatcat:noedzavffng6fo35zzbax3bfsa

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Mohammed Najah Mahdi, Abdul Rahim Ahmad, Qais Saif Qassim, Hayder Natiq, Mohammed Ahmed Subhi, Moamin Mahmoud
2021 Applied Sciences  
This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore.  ...  Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next  ...  Studied the security provided for group communication in 5G networks.  ... 
doi:10.3390/app11178117 fatcat:4vtzn5cae5eqtnzobtvzysi6mm

5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches

F. S. Samidi, N. A. M. Radzi, W. S. H. M. W. Ahmad, F. Abdullah, M. Z. Jamaludin, A. Ismail
2021 IEEE Access  
This resulted in a much lower loss rate for the packets. [41] Another interesting deep learning study for the 5G network is reported by Hossain et al. [42] .  ...  An intelligent allocation of radio space for 5G networks using a deep learning model is proposed, consisting of a deep tree model and an extended short-term memory network.  ... 
doi:10.1109/access.2021.3104277 fatcat:s6xyfoefwnanzd7be642wleul4

Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things

Giancarlo Fortino, Rajkumar Buyya, Min Chen, Francisco Herrera
2021 IEEE Internet of Things Journal  
We hope that this special issue will serve as a useful reference for researchers, scientists, engineers, and academics in the field of data mining and machine learning at the "edge" of the IoT.  ...  Wang, the Editor-in-Chief of the IEEE INTERNET OF THINGS JOURNAL, for his great support throughout the whole review and publication process of this special issue, and, of course, all the editorial staff  ...  The article "Communication-efficient offloading for mobileedge computing in 5G heterogeneous networks," by Zhou et al., proposes a service deployment architecture 5G heterogeneous networks in which three  ... 
doi:10.1109/jiot.2021.3075304 fatcat:ulaytitbj5aqfnvv5ewybffrey

Editorial: Emerging Techniques and Applications for 5G Networks and Beyond

Van-Dinh Nguyen, Trung Q. Duong, Quan-Tuan Vien
2020 Journal on spesial topics in mobile networks and applications  
privacy concerns in 5G wireless communications; NOMA, full-duplex, massive MIMO; Green 5G multimedia wireless networks; Machine learning for resource allocation in wireless networks; Deep reinforcement  ...  to) the following topics: Advanced network architecture design for IoT towards 5G; New air interface design for 5G (New Radio (NR)); Energyefficiency in 5G for IoT applications. 5G wireless heterogeneous  ... 
doi:10.1007/s11036-020-01547-x fatcat:da26c6zivratzakzf3t2vtc7qy

A VERSATILE SECURITY FRAMEWORK USING BLOCKCHAIN TECHNOLOGY FOR FIFTH GENERATION COMMUNICATION NETWORKS

Sakthibalan P., Devarajan K.
2021 Information Technology in Industry  
The fifth-generation (5G) network assimilates terahertz bandwidth and machine type communication (MTC) for swift and reliable data transfer and information exchange.  ...  In this article, a Blockchain-based Versatile Security Framework (BVSF) is introduced to provide robust and adaptable authentication and access control in the 5G environment.  ...  Maimo et al. [10] suggested a selfadaptive deep learning-based system in 5G networks for anomaly detection. The deep learning techniques analyze network traffic.  ... 
doi:10.17762/itii.v9i1.243 fatcat:p2rj6cejuze5bcy65yjhvkbkna

Review on the application of freeway CVIS communication technology

Fu Shouyan, L Wenhong, Ge Jiali, Qu Yanxi
2020 MATEC Web of Conferences  
The research shows that in the future, machine learning, deep learning and other methods can be used to automatically detect network intrusion and deal with unknown attacks; In the future, the CVIS communication  ...  This paper summarizes the existing problems in the research of CVIS communication technology from two aspects of technology application and network security.  ...  In the future, such methods as machine learning and deep learning can be used to automatically monitor network intrusion and deal with unknown attacks, so as to ensure the security of freeway CVIS communication  ... 
doi:10.1051/matecconf/202032501006 doaj:32096f3fc1284db08e728ab7bef7c7fa fatcat:6keqbdz4kbe3vegnopew5vsn6a
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