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Leveraging Machine Learning for Industrial Wireless Communications [article]

Ilaria Malanchini, Patrick Agostini, Khurshid Alam, Michael Baumgart, Martin Kasparick, Qi Liao, Fabian Lipp, Nikolaj Marchenko, Nicola Michailow, Rastin Pries, Hans Schotten, Slawomir Stanczak (+1 others)
2021 arXiv   pre-print
success of machine learning (ML).  ...  Two main trends characterize today's communication landscape and are finding their way into industrial facilities: the rollout of 5G with its distinct support for vertical industries and the increasing  ...  TABLE I I SUMMARY OF THE INDUSTRIAL USE CASES Use Case Industrial Challenge Communication Solution Machine Learning Support A Scalability of industrial control systems and flexibility of the  ... 
arXiv:2105.02051v1 fatcat:d3mqfsrm6rcmlb6b6q2hxqguqy

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface [article]

Kai Yang, Yuanming Shi, Yong Zhou, Zhanpeng Yang, Liqun Fu, Wei Chen
2020 arXiv   pre-print
However, the limited communication bandwidth is a key bottleneck of model aggregation for federated machine learning over radio channels.  ...  In this article, we shall develop an over-the-air computation based communication-efficient federated machine learning framework for intelligent IoT networks via exploiting the waveform superposition property  ...  Federated machine learning provides a novel solution for collaboratively training a global machine learning model by leveraging the distributed computation resources across IoT devices, while always keeping  ... 
arXiv:2004.05843v1 fatcat:dlzrbcjqfzf5dmlvvf7w6hshuu

Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles [article]

Umut Demirhan, Ahmed Alkhateeb
2022 arXiv   pre-print
This article focuses on ten key machine learning roles for joint sensing and communication, sensing-aided communication, and communication-aided sensing systems, explains why and how machine learning can  ...  Integrating sensing and communication is a defining theme for future wireless systems.  ...  In the context of sensing-aided communication, where the sensory data could be leveraged to enhance the wireless communication operation, machine learning can find important roles in (vii) facilitating  ... 
arXiv:2208.02157v2 fatcat:obypfcwomzdxfbrw6w64pq3xsm

Guest Editorial: Massive Machine-Type Communications for IoT

Liang Liu, Erik G. Larsson, Petar Popovski, Giuseppe Caire, Xiaoming Chen, Saeed R. Khosravirad
2021 IEEE wireless communications  
The article "Over-the-Air Computing for Wireless Data Aggregation in Massive IoT" by Zhu et al. investigates wireless data aggregation for new IoT applications such as distributed sensing, learning, and  ...  F uture wireless cellular networks are envisioned to not only enhance broadband access for human-centric applications, but also off er massive connectivity across tens of billions of devices for machine-centric  ...  The article "Machine Learning for Massive Industrial Internet of Things" by Zhou et al. focuses on a key use case of mMTC: industrial IoT (IIoT).  ... 
doi:10.1109/mwc.2021.9535445 fatcat:nxqkvtgs4rfozp553la4kmwxua

Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems [article]

Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri
2021 arXiv   pre-print
These networked multi-agent systems require fast, communication-efficient and distributed machine learning (ML) to provide mission critical control functionalities.  ...  This article explores emerging opportunities of FL for the next-generation networked industrial systems.  ...  Bennis is with the Centre for Wireless Communications, University of Oulu, Finland.  ... 
arXiv:2101.03367v2 fatcat:gzj2a3bqqfh7hc2yfszeacobye

Editorial: Third Quarter 2020 IEEE Communications Surveys and Tutorials

Ying-Dar Lin
2020 IEEE Communications Surveys and Tutorials  
The paper dives deeper into security attacks at different layers of IoT communication and then discusses the machine and deep learning models that are leveraged for IoT security.  ...  Therefore, Machine Learning (ML) and Deep Learning (DL) techniques are employed to provide embedded intelligence and are leveraged to cope with different security problems such as attack detection and  ... 
doi:10.1109/comst.2020.3013455 fatcat:yd5pyfudirebrlzgxfncrxdwna

Happy New Year 2022!

Yi Qian
2021 IEEE wireless communications  
Prior to joining UNL, he worked in the telecommunications industry, academia, and government.  ...  In the fifth article, "Federated Learning for Industrial Internet of Things in Future Industries," D. C.  ...  The authors also discuss the challenges of applying the state of the art from the machine learning community to general wireless network optimization problems and point out several promising research directions  ... 
doi:10.1109/mwc.2021.9690483 fatcat:or6oyq325rb3bf2usssgzdun7u

Guest Editorial: 6G: The Paradigm for Future Wireless Communications

Shahid Mumtaz, Chunxiao Jiang, Antti Tolli, Anwer Al-Dulaimi, M. Majid Butt, Hafiz M. Asif, Muhammad Ikram Ashraf
2022 IEEE wireless communications  
For instance, QIT can be leveraged to solve challenging wireless resource optimization problems in 6G systems.  ...  learning (FL) in visible light communication (VLC) networks.  ... 
doi:10.1109/mwc.2022.9749174 fatcat:nefme6j3vje4rg7u4coulmq7ji

Guest Editorial: Industrial Cyber–Physical Systems—New Trends in Computing and Communications

Federico Tramarin, Michele Luvisotto, Andreas Willig, Kan Yu
2021 IEEE Transactions on Industrial Informatics  
The aim of this special section is to provide a sample of recent developments in computing, communications and machine learning for ICPS.  ...  Another example of how machine learning can improve communication in ICPS is given in "Learning-based Online Transmission Path Selection for Secure Estimation in Edge Computing Systems," authored by Wang  ...  His research interests include wireless and wired real-time industrial communications, industrial Internet-of-Things, and intelligent industrial systems. Dr.  ... 
doi:10.1109/tii.2020.3033818 fatcat:d6mi5ycnpnhttkvmfbe75ejrdy

Data Science andArtificial Intelligence for Communications

Irena Atov, Kwang-Cheng Chen, Ahmed Kamal, Malamati Louta
2020 IEEE Communications Magazine  
only in new methodology in systems and network design, but also in new network architecture accommodating machine learning (ML) for broader and efficient services.  ...  It is difficult due to highly dynamic wireless communication environments and complex traffic services to users. Darijo Raca, Ahmed  ...  Sinha, Emir Halepovic, Rittwik Jana, and Vijay Gopalakrishnan, in the article "On Leveraging Machine and Deep Learning for Throughput Prediction in Cellular Networks: Design, Performance, and Challenges  ... 
doi:10.1109/mcom.2020.9040255 fatcat:4fig2n2ldzg3ncmigypwclsvom

Data Science and Artificial Intelligence

Irena Atov, Kwang-Cheng Chen, Ahmed E. Kamal, Malamati Louta
2020 IEEE Communications Magazine  
and Joerg Widmer, proposes a general machine learning-based framework that leverages AI and ML tools to efficiently manage and optimize the performance of highly dynamic wireless networks.  ...  of artificial intelligence (AI) and machine learning (ML) capabilities into networks.  ...  and Joerg Widmer, proposes a general machine learning-based framework that leverages AI and ML tools to efficiently manage and optimize the performance of highly dynamic wireless networks.  ... 
doi:10.1109/mcom.2020.9141187 fatcat:kszk7ystfbdo3bphkjunwr4ns4

The intelligent industry of the future: A survey on emerging trends, research challenges and opportunities in Industry 4.0

Davy Preuveneers, Elisabeth Ilie-Zudor, Davy Preuveneers, Elisabeth Ilie-Zudor
2017 Journal of Ambient Intelligence and Smart Environments  
Strongly rooted in the Internet of Things and Cyber-Physical Systems-enabled manufacturing, disruptive paradigms like the Factory of the Future and Industry 4.0 envision knowledge-intensive industrial  ...  The 4th industrial revolution will be based on Cyber-Physical Systems that will monitor, analyze and automate business processes, transforming production and logistic processes into smart factory environments  ...  Creating insights with machine learning and data mining for Industry 4.0 applications. 5. Human computer interaction aspects for different types of stakeholders. 6.  ... 
doi:10.3233/ais-170432 fatcat:okho72mkrrbfhjc5cyzdhpbrtu

Communications for IoT: Connectivity and Networking

Jeffrey R. Foerster, Xavier Costa-Perez, R Venkatesha Prasad
2020 IEEE Internet of Things Magazine  
IoT systems are also creating a significant amount of new data which can now be processed to analyze and learn from using novel machine-learning techniques.  ...  T he Internet of Things (IoT) is revolutionizing many industries by enabling machines to directly work with each other without human intervention, and communication and networking technologies are fundamental  ... 
doi:10.1109/miot.2020.9063399 fatcat:xx4k4rqaovhm5kplzopa7h3ss4

5G Vehicular Network Resource Management for Improving Radio Access through Machine Learning

Sahrish Khan Tayaba, Hasan Ali Khattak, Ahmad Almogren, Munam Ali Shah, Ikram Ud Din, Ibrahim Alkhalifa, Mohsen Guizani
2020 IEEE Access  
This paper also presents a proof of concept for leveraging machine learning-enabled resource classification and management through experimental evaluation of special-purpose testbed established in custom  ...  The vehicle to vehicle (V2V) communication is quite possible with wireless virtualization where different radio resources are allocated to V2V communications based on the flow classification, i.e., safety-related  ...  TABLE 1 . 1 Training results for machine learning models adopted for the experiment.  ... 
doi:10.1109/access.2020.2964697 fatcat:idtugeevszdiflhshml64oe4i4

Big Cloud Innovation for Sustainable Wireless Management

Chan-Yun Yang, Muhammad Sharif, Sri Devi Ravana, Anandakumar Haldorai
2021 Wireless personal communications  
for cognitive communication, machine  ...  Cloud and bigdata access can leverage on the sustainable wireless network offerings and gain complete solution over the network to strengthen wireless communication services.  ...  for cognitive communication, machine learning and big data in cloud development, next generation wireless communication and smart city initiative and cloud services/infrastructures can alleviate some real  ... 
doi:10.1007/s11277-021-08250-4 fatcat:g6kwcppzyfatzkgowy4gxesrcm
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