Article
Chemistry, Analytical
Qianqian Long, Junyi Zhang, Lu Cao, Wenrui Wang
Summary: This study proposes a new positioning scheme for indoor visible light positioning systems, which utilizes artificial intelligence algorithms for point classification. It effectively solves the problem of requiring receiver height information and reduces the impact of multi-path interference on positioning accuracy. Experimental results demonstrate centimeter-level accuracy.
Review
Optics
Jianyang Shi, Wenqing Niu, Yinaer Ha, Zengyi Xu, Ziwei Li, Shaohua Yu, Nan Chi
Summary: This article presents a comprehensive study of intelligent physical and network layer technologies for AI-empowered intelligent visible light communication (IVLC). It discusses the challenges in the visible light channel and analyzes the advantages and disadvantages of machine learning in VLC through simulation. The article also provides a detailed overview of advances in intelligent physical layers and envisions the prospects of IVLC in both the intelligent physical and network layers.
Article
Computer Science, Hardware & Architecture
Le Xia, Yao Sun, Rafiq Swash, Lina Mohjazi, Lei Zhang, Muhammad Ali Imran
Summary: This article proposes a novel framework called BEST, which utilizes blockchain and intelligent assessment models to ensure the safety and data security of autonomous driving. The framework achieves better data credibility and prediction accuracy in vehicular safety assessment and discusses future challenges in CAV networks.
Article
Computer Science, Hardware & Architecture
Jingyu Shen, Chungang Yang, Tong Li, Xinwei Wang, Yanbo Song, Mohsen Guizani
Summary: This article discusses the challenges in next-generation communication networks and proposes a novel framework combining machine learning and game theory to address the network selection problem in 5G ultra-dense and heterogeneous networks, resulting in reduced average delay for users.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Health Care Sciences & Services
Bruno Fuchs, Gabriela Studer, Beata Bode-Lesniewska, Philip Heesen
Summary: This perspective article explores the opportunities and challenges of leveraging digital health and artificial intelligence in sarcoma care. The authors delineate the current state-of-the-art methodologies and technologies in sarcoma care, and emphasize the need for high-quality data and ethical considerations. The paper concludes with proposals for future research and a call to action for multidisciplinary collaboration and systemic adoption of these technologies.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Thanh V. Pham, Anh T. Pham
Summary: This article focuses on the designs of physical layer security (PLS) in visible light communication systems, specifically looking at how to use artificial noise-aided precoding to address the presence of multiple unauthorized users. Different design approaches are proposed considering unknown and known unauthorized users' channel state information (CSI), and two sub-optimal yet low-complexity methods, Concave-Convex Procedure (CCP) and Semidefinite Relaxation (SDR), are examined to solve the non-convex design problem. Extensive numerical results are presented to demonstrate the feasibility and performance of each design with practical parameters.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Aly S. S. Abdalla, Pratheek S. S. Upadhyaya, Vijay K. K. Shah, Vuk Marojevic
Summary: This article discusses the key features and limitations of the open radio access network (O-RAN) as a framework for 6G wireless research and development, and explores the technologies to overcome these limitations.
Article
Engineering, Electrical & Electronic
Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez, David Lopez-Perez
Summary: In this article, we propose the design of ad hoc AI/ML models for future smart infrastructures based on communication networks. We review key operations for AI/ML model transfer through 5G networks and existing techniques to reduce communication overheads. We introduce Accordion, a novel communication-aware ML framework, which enables efficient AI/ML model transfer through improved training and communication protocols. We demonstrate the benefits, performance trade-offs, and potential research directions within this realm.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Review
Endocrinology & Metabolism
Anasuya Das Gupta, Natalia Krawczynska, Erik R. Nelson
Summary: Extracellular vesicles, including exosomes, play important roles in normal physiology and disease states by delivering signals through membrane-bound particles in body fluids. Similar to the endocrine system, the EV system is likely under homeostatic control, making the regulation of their biogenesis and secretion crucial for further exploration.
Article
Computer Science, Information Systems
Wangzhaoqi Xie, Bao Li, Yuyang Peng, Han Zhu, Fawaz AL-Hazemi, Mohammad Meraj Mirza
Summary: This paper studies the security optimization scheme of the SSK-VLC system based on the space shift keying (SSK) technology. The antenna selection (AS) technology and artificial noise (AN) cancellation method are adopted to enhance the confidentiality of the SSK-VLC system.
Article
Computer Science, Hardware & Architecture
Xiao Liu, Mingzhe Chen, Yuanwei Liu, Yue Chen, Shuguang Cui, Lajos Hanzo
Summary: In this article, the use of artificial intelligence-enabled unmanned aerial vehicles (UAVs) as aerial base stations for wireless networks is proposed to overcome challenges such as random fluctuation of wireless channels, blocking, and user mobility effects. The AI enables the UAVs to adapt quickly to changing environments, learn from user feedback, and interact cooperatively for system optimization. This approach not only enhances network performance and reliability but also facilitates dynamic trajectory design and resource allocation, while discussing potential research challenges and opportunities.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Agon Memedi, Falko Dressler
Summary: Visible Light Communications (VLC) is an emerging communication technology that is maturing, especially for indoor usage, and shows potential for outdoor applications such as Vehicular VLC (V-VLC). V-VLC can benefit from the vast spectrum and LED-based lighting systems of modern cars, providing low interference and a smaller collision domain. This survey article examines the state of V-VLC technology and highlights open issues and challenges, serving as a guide for beginners and identifying research questions for experts in the field.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Engineering, Electrical & Electronic
Setareh Maghsudi, Andrew Lan, Jie Xu, Mihaela van Der Schaar
Summary: Personalized learning aims to design an effective knowledge acquisition track that matches the learner's strengths using AI/ML methods, while also facing challenges such as the absence of peers, maintaining motivation, increasing diversity, and removing biases induced by data and algorithms.
IEEE SIGNAL PROCESSING MAGAZINE
(2021)
Article
Operations Research & Management Science
Janarthanan Balakrishnan, Yogesh K. Dwivedi
Summary: The study investigates the role of digital assistants in enhancing purchase intention, with perceived anthropomorphism playing a significant role. Hypotheses were proposed based on various psychology-related theories, offering practical implications for developers and marketers.
ANNALS OF OPERATIONS RESEARCH
(2021)
Editorial Material
Cardiac & Cardiovascular Systems
Alexander Kharlamov, Morten Lamberts
Summary: Solid clinical and academic leadership is essential for ensuring the relevance, meaningfulness, and evidence-based nature of healthcare using digital technologies. This compendium, which accompanies the Digital Technologies in Cardiovascular Disorders article collection in BMC Cardiovascular Disorders, summarizes recent knowledge about robust and advanced digital tools for preventing, monitoring, diagnosing, and treating cardiovascular diseases.
BMC CARDIOVASCULAR DISORDERS
(2023)
Article
Engineering, Electrical & Electronic
Francesco Foglia Manzillo, Antonio Clemente, Jose Luis Gonzalez-Jimenez
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2020)
Article
Computer Science, Information Systems
Ibtissam Labriji, Francesca Meneghello, Davide Cecchinato, Stefania Sesia, Eric Perraud, Emilio Calvanese Strinati, Michele Rossi
Summary: The study demonstrates the value of estimating vehicular mobility and using online algorithms to ensure service continuity for computing services on mobile edge nodes. Numerical evaluation in a real-life scenario shows over 50% reduction in energy consumption, with the scheme self-adapting to meet any given risk target.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Hardware & Architecture
Emilio Calvanese Strinati, Sergio Barbarossa
Summary: The paper advocates for including semantic and goal-oriented aspects in future 6G networks to improve system effectiveness and sustainability, focusing on the meaning of transmitted information and goal achievement.
Article
Computer Science, Information Systems
Claudio Battiloro, Paolo Di Lorenzo, Paolo Banelli, Sergio Barbarossa
Summary: The study focuses on decentralized estimation of time-varying signals at a fusion center with energy harvesting sensors transmitting data over rate-constrained links. Dynamic strategies are proposed for selecting radio parameters, sampling sets, and harvested energy at each node. Stochastic optimization tools are used for adaptive optimization without prior knowledge of channel statistics. Numerical results validate the approach for decentralized signal estimation under communication and energy constraints typical of Internet-of-Things scenarios.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Abdelaziz Hamani, Francesco Foglia Manzillo, Alexandre Siligaris, Nicolas Cassiau, Benjamin Blampey, Frederic Hameau, Cedric Dehos, Antonio Clemente, Jose Luis Gonzalez-Jimenez
Summary: This is a dual-channel transmitter module based on 45nm CMOS partially depleted silicon-on-insulator (PDSOI) technology and an antenna. It achieves high data rate and a wide range of output frequency through innovative channel-bonding technique and low-cost printed circuit board process. The module has low power consumption and compact size.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Telecommunications
Claudio Battiloro, Paolo Di Lorenzo, Mattia Merluzzi, Sergio Barbarossa
Summary: This paper proposes a novel dynamic resource allocation strategy for energy-efficient adaptive federated learning at the wireless network edge, with latency and learning performance guarantees. By utilizing Lyapunov stochastic optimization tools, the radio parameters and computation resources are dynamically optimized to achieve the best trade-off between power, latency, and performance of the federated learning task. The method is customized for federated least mean squares (LMS) estimation and federated training of deep convolutional neural networks, and numerical results demonstrate the effectiveness of the strategy.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Mathilde Ouvrier-Buffet, Alexandre Siligaris, Jose Luis Gonzalez-Jimenez
Summary: This paper presents a multi-tone frequency generator in the sub-10 GHz range, which reduces the number of interconnections between control electronics and the quantum processor layer. It has low power consumption and small footprint.
2022 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Abdelaziz Hamani, Francesco Foglia Manzillo, Alexandre Siligaris, Nicolas Cassiau, Frederic Hameau, Fabrice Chaix, Cedric Dehos, Antonio Clemente, Jose Luis Gonzalez-Jimenez
Summary: This paper presents an energy-efficient wideband D-band wireless link using receiver and transmitter modules based on a channel-bonding scheme. The system achieves a data rate of 56.32 Gb/s through 16 QAM modulation over 8 RF channels, with a competitive energy consumption.
2022 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC)
(2022)
Article
Telecommunications
Mattia Merluzzi, Nicola di Pietro, Paolo Di Lorenzo, Emilio Calvanese Strinati, Sergio Barbarossa
Summary: In this paper, we propose a novel strategy for energy-efficient dynamic computation offloading in edge computing. By utilizing low-power sleep operation modes and an online algorithm, the proposed method reduces energy consumption and satisfies service quality constraints.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Abdelaziz Hamani, Alexandre Siligaris, Benjamin Blampey, Jose Luis Gonzalez Jimenez
Summary: This paper proposes two D-band millimeter-wave wideband and high gain power amplifiers operating at 155 GHz and 167 GHz, designed in CMOS SOI 45 nm technology. They are composed of four stages of capacitively neutralized pseudo-differential common-source cells and utilize millimeter-wave matching transformers for high gain and output power.
2020 15TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC)
(2021)
Article
Computer Science, Information Systems
Mattia Merluzzi, Paolo Di Lorenzo, Sergio Barbarossa
Summary: This paper proposes a resource allocation strategy for dynamic training and inference of machine learning tasks at the edge of wireless network to explore the trade-off between energy, delay, and learning accuracy. Two dynamic strategies are introduced to minimize system energy consumption under constraints on service delay and accuracy, as well as to optimize learning accuracy while guaranteeing bounded energy consumption. The proposed approach aims to strike a balance between energy consumption and quality of service in Edge Machine Learning (EML) tasks.
Proceedings Paper
Biophysics
G. Yaakoubi, C. Dehos, B. Martineau, Jl Gonzalez
2020 IEEE MTT-S INTERNATIONAL MICROWAVE BIOMEDICAL CONFERENCE (IMBIOC)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Abdelaziz Hamani, Alexandre Siligaris, Benjamin Blampey, Cedric Dehos, Jose Luis Gonzalez Jimenez
PROCEEDINGS OF THE 2020 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Abdessamad Boulmirat, Alexandre Siligaris, Clement Jany, Jose L. Gonzalez-Jimenez
PROCEEDINGS OF THE 2020 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
A. Siligaris, J. L. Gonzalez-Jimenez, C. Jany, B. Blampey, A. Boulmirat, A. Hamani, C. Dehos
2020 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS SYMPOSIUM (RFIC)
(2020)
