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Artificial intelligence and data-driven networks will be integral part of 6G systems. In this article, we comprehensively discuss implementation challenges and need for architectural changes in 5G radio access networks for integrating…

Networking and Internet Architecture · Computer Science 2021-08-26 M. Majid Butt , Anna Pantelidou , István Z. Kovács

This article presents a primer/overview of applications of Artificial Intelligence and Machine Learning (AI/ML) techniques to address problems in the domain of computer networking. In particular, the techniques have been used to support…

Networking and Internet Architecture · Computer Science 2021-06-01 Krishna M. Sivalingam

The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions from wireless-network components to sustain quality-of-service…

In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of multiple data modalities has the potential to reshape various applications. This paper presents a comprehensive overview of the current state,…

Machine Learning · Computer Science 2023-07-31 Binyang Song , Rui Zhou , Faez Ahmed

To cope with the growing demand for wireless data and to extend service coverage, future 5G networks will increasingly rely on the use of low powered nodes to support massive connectivity in diverse set of applications and services [1]. To…

Information Theory · Computer Science 2014-07-08 H. Baligh , M. Hong , W. -C. Liao , Z. -Q. Luo , M. Razaviyayn , M. Sanjabi , R. Sun

The evolution from Industry 4.0 to Industry 5.0 introduces stringent requirements for ultra reliable low latency communication (URLLC) to support human centric, intelligent, and resilient industrial systems. Sixth-generation (6G) wireless…

Networking and Internet Architecture · Computer Science 2025-10-13 Abdikarim Mohamed Ibrahim , Rosdiadee Nordin , Yahya S. M. Khamayseh , Angela Amphawan , Muhammed Basheer Jasser

Intelligent communication is gradually considered as the mainstream direction in future wireless communications. As a major branch of machine learning, deep learning (DL) has been applied in physical layer communications and has…

Information Theory · Computer Science 2019-02-26 Hengtao He , Shi Jin , Chao-Kai Wen , Feifei Gao , Geoffrey Ye Li , Zongben Xu

Machine learning (ML) has been pervasively researched nowadays and it has been applied in many aspects of real life. Nevertheless, issues of model and data still accompany the development of ML. For instance, training of traditional ML…

Machine Learning · Computer Science 2022-06-29 Shengwen Ding , Chenhui Hu

Machine learning (ML) has proven itself in high-value web applications such as search ranking and is emerging as a powerful tool in a much broader range of enterprise scenarios including voice recognition and conversational understanding…

The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuses on 5G/B5G-enabled terrestrial robotic communications with…

Robotics · Computer Science 2021-08-03 Yuanwei Liu , Xiao Liu , Xinyu Gao , Xidong Mu , Xiangwei Zhou , Octavia A. Dobre , H. Vincent Poor

Wireless signal recognition is becoming increasingly more significant for spectrum monitoring, spectrum management, and secure communications. Consequently, it will become a key enabler with the emerging fifth-generation (5G) and beyond 5G…

Machine Learning · Computer Science 2021-02-23 Anu Jagannath , Jithin Jagannath

An upcoming industrial IoT revolution, supposedly led by the introduction of embedded sensing and computing, seamless communication and massive data analytics within industrial processes [1], seems unquestionable today. Multiple…

Computers and Society · Computer Science 2018-01-16 Xavier Vilajosana , Cristina Cano , Borja Martinez , Pere Tuset , Joan Melià , Ferran Adelantado

The Internet of Things (IoT) has recently advanced from an experimental technology to what will become the backbone of future customer value for both product and service sector businesses. This underscores the cardinal role of IoT on the…

Networking and Internet Architecture · Computer Science 2019-01-29 Pawani Porambage , Jude Okwuibe , Madhusanka Liyanage , Mika Ylianttila , Tarik Taleb

In this big data era, the use of large dataset in conjunction with machine learning (ML) has been increasingly popular in both industry and academia. In recent times, the field of materials science is also undergoing a big data revolution,…

Materials Science · Physics 2023-09-27 Sue Sin Chong , Yi Sheng Ng , Hui-Qiong Wang , Jin-Cheng Zheng

The fifth generation (5G) and beyond wireless networks are critical to support diverse vertical applications by connecting heterogeneous devices and machines, which directly increase vulnerability for various spoofing attacks. Conventional…

Cryptography and Security · Computer Science 2019-07-30 He Fang , Xianbin Wang , Stefano Tomasin

5G wireless systems will extend mobile communication services beyond mobile telephony, mobile broadband, and massive machine-type communication into new application domains, namely the so-called vertical domains including the smart factory,…

Signal Processing · Electrical Eng. & Systems 2019-07-25 Tai Manh Ho , Thinh Duy Tran , Ti Ti Nguyen , S. M. Ahsan Kazmi , Long Bao Le , Choong Seon Hong , Lajos Hanzo

While manufacturers have been generating highly distributed data from various systems, devices and applications, a number of challenges in both data management and data analysis require new approaches to support the big data era. These…

Databases · Computer Science 2018-12-14 JunPing Wang , WenSheng Zhang , YouKang Shi , ShiHui Duan , Jin Liu

An important novelty of 5G is its role in transforming the industrial production into Industry 4.0. Specifically, Ultra-Reliable Low Latency Communications (URLLC) will, in many cases, enable replacement of cables with wireless connections…

Information Theory · Computer Science 2017-08-31 Anders Ellersgaard Kalør , René Guillaume , Jimmy Jessen Nielsen , Andreas Mueller , Petar Popovski

Applied machine learning (ML) has rapidly spread throughout the physical sciences; in fact, ML-based data analysis and experimental decision-making has become commonplace. We suggest a shift in the conversation from proving that ML can be…

Materials Science · Physics 2021-12-21 Naohiro Fujinuma , Brian L. DeCost , Jason Hattrick-Simpers , Samuel E. Lofland

Edge Machine Learning (Edge ML), which shifts computational intelligence from cloud-based systems to edge devices, is attracting significant interest due to its evident benefits including reduced latency, enhanced data privacy, and…

Signal Processing · Electrical Eng. & Systems 2023-08-24 George Arvanitakis , Jingwei Zuo , Mthandazo Ndhlovu , Hakim Hacid
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