Article
Computer Science, Information Systems
Manzoor Ahmed, Salman Raza, Muhammad Ayzed Mirza, Abdul Aziz, Manzoor Ahmed Khan, Wali Ullah Khan, Jianbo Li, Zhu Han
Summary: This paper presents a comprehensive survey and analysis of vehicular task offloading techniques. It categorizes the methods in the V2V, V2I, and V2X communication domains and describes their objectives and characteristics. The literature on vehicular task offloading is thoroughly compared and analyzed, highlighting the research challenges and future trends in this field.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Luis Sanabria-Russo, Jordi Serra, David Pubill, Christos Verikoukis
Summary: Telemedicine has greatly benefited from advances in IoT, network communications, Machine Learning, and cloud computing. The arrival of 5G enables medical professionals to request more data from patients' telemetry equipment and provide more educated diagnostic and predictions. The combination of virtualized infrastructures and IoT shows great potential in the eHealth field.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Amruta A. Nikam, Rupali B. Patil
Summary: This paper presents a custom-designed multiband PIFA antenna suitable for automotive applications, with a wide bandwidth capability and high gain.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Civil
Anestis Dalgkitsis, Prodromos-Vasileios Mekikis, Angelos Antonopoulos, Christos Verikoukis
Summary: This study examines the combination of deep learning-based mobility prediction and genetic algorithm-assisted service orchestration to reduce service latency and maximize resource utilization. Through simulation experiments, it was found that gains in low latency were achieved in all scenarios examined.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Chemistry, Multidisciplinary
Jose Olimpio Rodrigues Batista Jr, Douglas Chagas da Silva, Moacyr Martucci Jr, Regina Melo Silveira, Carlos Eduardo Cugnasca
Summary: The IMT-2020 standardization adopts a philosophy of software-defined networking, network function virtualization, and software-defined radio to allow network segregation through slicing. The dynamic Orchestrator ensures independent end-to-end network slices and performs horizontal handover to maintain QoS and QoE. This modern approach aligns with ITU actions and aims to propose an effective architecture for implementing the Orchestrator to contribute to the advancement of communication systems beyond 5G.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Hernani D. Chantre, Nelson L. S. da Fonseca
Summary: This paper studies the problem of locating MECs and slices in a 5G infrastructure to support high reliability and low latency requirements. A cost-effective solution is derived through the proposed bi-objective non-linear formulation and non-dominated sorting genetic algorithm (NSGA)-II.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Computer Science, Hardware & Architecture
Riccardo Fedrizzi, Rasoul Behravesh, Cristina Costa, Fabrizio Granelli
Summary: The fifth-generation of mobile communication networks have brought various service requirements for vertical industries. This paper studies the end-to-end network slicing problem for different vertical industries and proposes two provisioning strategies and a fast solution. Simulation results demonstrate the effectiveness and efficiency of the proposed approach.
Article
Telecommunications
Jose Santa, Konstantinos Katsaros, Luis Bernal-Escobedo, Sadeq Zougari, Marta Miranda, Oscar Castaneda, Benoit Dalet, Angelos Amditis
Summary: This paper evaluates the performance of real 5G deployments in CCAM scenarios, with a focus on cross-border settings and service continuity under inter-operator handovers. Through implementing a use case for autonomous overtaking, the results show that the presence of 5G-NR and edge servers ensures good network performance and proper operation of the service, although handovers have a significant impact on network and overtaking.
VEHICULAR COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Peiwen Chu, Xuezhi Zheng, Zhicheng He, Eric Li, Vladimir Volski, Zhensheng Chen, Guy A. E. Vandenbosch
Summary: This paper presents an ultracompact dual-band vehicular antenna for simultaneous satellite, terrestrial and in-car communications. The antenna consists of 16 dual-band units and a double layer coding metasurface (CMS) which can transmit and reflect electromagnetic (EM) waves in the sub-6 GHz and X-band, respectively. The proposed antenna has a very low profile (8.5 mm) and the bandwidth is sufficiently large to meet the need of vehicular communications.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Nebojsa Bacanin, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf Malebary
Summary: This article introduces the dependency on wireless devices in today's world and the use of mobile edge computing technology to overcome limitations on computing capacity. It also proposes a data offloading method based on 5G networks to improve energy efficiency. By using the PSO algorithm to select edge nodes, the data processing in 5G networks is further optimized, and it is demonstrated that mobile edge computing consumes less energy.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Malik Muhammad Saad, Muhammad Toaha Raza Khan, Gautam Srivastava, Rutvij H. Jhaveri, Mahmudul Islam, Dongkyun Kim
Summary: Intelligent Transport Systems (ITS) offer a promising solution to improve road safety through vehicle communication technology. This paper presents a cooperative vehicular architecture that uses network function virtualization (NFV) and mobile edge computing (MEC) to overcome the limited communication range and enhance coverage through traffic flow prediction and optimal relay selection.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Yicen Liu, Hao Lu, Xi Li, Yang Zhang, Leiping Xi, Donghao Zhao
Summary: NFV and MEC are introduced to address challenges in meeting IoT application demands, with the SFC-DOP problem hindering the optimization of VNF placement and service path routing in IoT networks. A DRL-based framework and algorithm are proposed to efficiently deal with the SFC-DOP, showing outstanding performance compared to current benchmarks.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yeongjin Kim, Pyeongjun Choi, Jeong-A Lim, Jeongho Kwak
Summary: Recent advances in software-defined networking (SDN) and network function virtualization (NFV) technologies have enabled flexible resource management. This paper proposes a dynamic resource management algorithm, RACER, which optimizes the performance of network/computing functions by exploiting the tradeoff between cloud and edge characteristics. The algorithm achieves significant improvement compared to static and independent policies in the 5G network environment.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Jorge Gallego-Madrid, Ramon Sanchez-Iborra, Jordi Ortiz, Jose Santa
Summary: This paper addresses the limitations of traditional bottom-up development in 5G design and proposes a service-centric approach for 6G V2X, as well as presenting a platform design for managing the life-cycle of V2X applications in different domains.
Article
Computer Science, Information Systems
Syed Danial Ali Shah, Mark A. Gregory, Shuo Li, Ramon dos Reis Fontes, Ling Hou
Summary: This article focuses on addressing the quality of service challenges in a mobile environment by utilizing the concepts of multiaccess edge computing (MEC) and software-defined networking (SDN).
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
P. H. Isolani, J. Haxhibeqiri, I Moerman, J. Hoebeke, L. Z. Granville, S. Latre, J. M. Marquez-Barja
Summary: This paper proposes a Software-Defined Radio Access Network (SD-RAN) interactive management approach assisted by In-band Network Telemetry (INT) in IEEE 802.11 networks. By including the network administrator in the management loop through monitoring, visualization, and configuration activities, fine-grained programming of the network is achieved to enhance QoS delivery.
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
(2023)
Article
Engineering, Electrical & Electronic
Rreze Halili, Faqir Zarrar Yousaf, Nina Slamnik-Krijestorac, Girma M. Yilma, Marco Liebsch, Rafael Berkvens, Maarten Weyn
Summary: Edge computing is a key feature of 5G technology that enables new and improved automotive use cases for road safety and emergency response management. This paper presents an algorithm that enhances the accuracy of estimated time of arrival (ETA) notifications for approaching emergency vehicles on highways. The algorithm uses real travel time data to evaluate its performance, comparing different methods such as Kalman filter, Filter-less method, Moving Average, and Exponential Moving Average filters. It is found that the Kalman filter provides the highest accuracy, reducing estimation error by an average of 14%.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Nina Slamnik-Krijestorac, Girma M. Yilma, Marco Liebsch, F. Zarrar Yousaf, Johann M. Marquez-Barja
Summary: The paper investigates a solution for the collaborative orchestration of services for Connected, Cooperative and Automated Mobility (CCAM) within the 5G ecosystem. It proposes a multi-tier orchestration system and localized management for collaborative edge resources to achieve service continuity in a highly dynamic automotive scenario.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Chemistry, Analytical
Lawrence Mdegela, Yorick De Bock, Esteban Municio, Edith Luhanga, Judith Leo, Erik Mannens
Summary: This paper presents a sensor-based, near-real-time river monitoring system for flood prediction in the Kikuletwa River in Northern Tanzania. The system collects six parameters relevant to weather and river flood detection, and addresses the issue of unreliable river thresholds for anomaly detection in Tanzanian river basins.
Article
Environmental Sciences
Lawrence Mdegela, Esteban Municio, Yorick De Bock, Edith Luhanga, Judith Leo, Erik Mannens
Summary: Advancements in machine learning, availability of more data sets, and increased computing power have led to significant growth in research areas, such as predicting and classifying complex events in earth systems. This study explores the application of different machine learning techniques for detecting and classifying extreme rainfall events in the Pangani River Basin. The performance evaluation shows that random forest and XGBoost have the best overall performances, but a generic multi-layer perceptron performs best in identifying heavy rainfall events in the imbalanced class distribution.
Article
Automation & Control Systems
Carolina Fortuna, Halil Yetgin, Leo Ogrizek, Esteban Municio, Johann M. Marquez-Barja, Mihael Mohorcic
Summary: In this paper, a human-friendly provisioning and configuration framework for smart devices called HANNA is proposed. It extends the zero-touch paradigm to large IoT deployments by introducing voice assisted configuration and large scale ad-hoc communications. The performance of the assisting device in human-to-machine communication phase and the selected communication technique in machine-to-machine communication phase are evaluated. The results show the potential of existing speech-to-text engines for this application area and reveal shortcomings with respect to engine robustness and user characteristics.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Proceedings Paper
Computer Science, Information Systems
Nina Slamnik-Krijestorac, Wim Vandenberghe, Najmeh Masoudi-Dione, Stijn Van Staeyen, Lian Xiangyu, Rakshith Kusumakar, Johann M. Marquez-Barja
Summary: The digitalization of the shipping sector is expected to improve the safety and reliability of ship control, enabling autonomous operations. This paper presents an attempt to automate barge operations using 5G technology. The study assesses the quality of the 5G communication system and discusses its potential enhancements for teleoperation and barge control automation.
2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT
(2023)
Proceedings Paper
Computer Science, Information Systems
Vincent Charpentier, Nina Slamnik-Krijestorac, Juan Brenes, Andreas Gavrielides, Marius Iordache, Georgios Tsiouris, Lian Xiangyu, Johann M. Marquez-Barja
Summary: The proliferation of 5G technology is allowing vertical industries to improve their day-to-day operations through enhanced Quality of Service. Network slicing is a key enabler for this performance, as it allows telco operators to split the network into virtualized networks tailored to verticals and their specific requirements. However, managing the deployment of slices across all network segments is becoming challenging. This paper focuses on the solution for dynamic and quality-aware network slice management and orchestration, specifically for transport and logistics use cases.
2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Angel Antonio Ravelo Batista, Sonia Morejon Labrada, Milene Soto Suarez, Miguel Angel Zayas Barban, Carmen Maria Pino Rondon, Johann Marquez-Barja
Summary: The aim of this study is to propose a system that integrates the Internet of Things (IoT) and Augmented Reality (AR) technologies in order to enable specialists to manage university museum collections more efficiently, which is of vital importance for the culture of students, teaching, and the persistence of historical memory.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Nina Slamnik-Krijestorac, Miguel Camelo Botero, Luca Cominardi, Steven Latre, Johann M. Marquez-Barja
Summary: This paper presents a ML-enhanced algorithm called MAESTRO that automates edge service orchestration for V2X use cases. The algorithm ensures QoS guarantees and decreases latency while guaranteeing high service availability and reliability. Experimental validation was conducted using real-life testbeds in Belgium.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Nina Slamnik-Krijestorac, Wim Vandenberghe, Najmeh Masoudi-Dione, Stijn Van Staeyen, Lian Xiangyu, Rakshith Kusumakar, Johann M. Marquez-Barja
Summary: The shipping sector is crucial to modern production systems and has a significant impact on economic growth. Digitalization in this sector is expected to enhance ship control safety and reliability through enabling autonomous operations. However, challenges remain, such as communication issues between barges, ports, and services, which can pose risks due to network latency and bandwidth limitations. To address this, the paper explores the potential of 5G systems to automate barge operations and develops a cellular-based control system in real-life scenarios.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Thomas Verschoor, Vincent Charpentier, Nina Slamnik-Krijestorac, Johann Marquez-Barja
Summary: Vehicular Edge Computing (VEC) brings cloud infrastructure to the vehicular edge for enhanced performance and reduced network congestion. This paper discusses the advantages of edge computing over cloud computing in a vehicular environment and introduces a Cooperative, Connected and Automated Mobility (CCAM) performance measurement framework that utilizes edge computing. The framework includes a measurement tool capable of tracking vehicles across different devices and measuring Key Performance Indicators (KPIs). Preliminary results on a Smart Highway testbed demonstrate lower latency with short-range vehicular communications technologies in VEC applications.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Cedric Bammens, Nina Slamnik-Krijestorac, Vincent Charpentier, Johann M. Marquez-Barja
Summary: Vehicular communication is a crucial technology in ITS, and the combination of RF and LoS technologies is necessary to enhance stability and reliability. Traditional radio-based systems like C-V2X and DSRC suffer from performance degradation in congested traffic scenarios. VLC, utilizing LED headlamps and tail lights, is considered a complementary technology to RF. This work proposes a hybrid strategy that combines the best properties of both RF and LoS technologies for improved V2V communication.
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Cedric Bammens, Nina Slamnik-Krijestorac, Vincent Charpentier, Johann M. Marquez-Barja
Summary: Vehicular communication is a critical technology in Intelligent Transportation Systems, where the combination of Line of Sight (LoS) technologies such as Visible Light Communication (VLC) with traditional radio-based systems can improve the stability and reliability of vehicle-to-vehicle (V2V) communication in dense traffic scenarios.
2023 IEEE 43RD INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS, ICDCSW
(2023)
