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[Front cover] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Presents the front cover for this issue of the publication.
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VTS Young Professionals IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
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Table of contents IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Presents the table of contents for this issue of this publication.
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Staff List IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Provides a listing of current staff, committee members and society officers.
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VPPC 2021 IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Describes the above-named upcoming conference event. May include topics to be covered or calls for papers.
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VTC 2022 IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Describes the above-named upcoming conference event. May include topics to be covered or calls for papers.
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Call to Host VTC IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Provides a listing of current committee members and society officers.
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VTS Awards and Recognition IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Every year the Vehicular Technology Society looks to sponsor and formally recognize individuals, chapters, and writings that exemplify the spirit of advancing land, airborne and maritime mobile services. To view the full detailed listing of each award and past recipients, please visit our Awards page on the website. Nominators should utilize the forms associated with each award on the website. Award
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Effective Cache-Enabled Wireless Networks: An Artificial Intelligence- and Recommendation-Oriented Framework IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-16 Yaru Fu; Howard H. Yang; Khai Nguyen Doan; Chenxi Liu; Xijun Wang; Tony Q. S. Quek
Caching at the network edge can significantly reduce users’ perceived latency and relieve backhaul pressure, hence invigorating a new set of innovations toward latency-sensitive applications. Nevertheless, the efficacy of caching policies relies on the users’ content preference to be 1) known a priori and 2) highly homogeneous, which is not always the case in the real world. In this article, we explore
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Online Velocity Control and Data Capture of Drones for the Internet of Things: An Onboard Deep Reinforcement Learning Approach IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-18 Kai Li; Wei Ni; Eduardo Tovard; Abbas Jamalipour
Applications of unmanned aerial vehicles (UAVs) for data collection are a promising means to extend Internet of Things (IoT) networks to remote and hostile areas and to locations where there is no access to power supplies. The adequate design of UAV velocity control and communication decision making is critical to minimize the data packet losses at ground IoT nodes that result from overflowing buffers
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Supporting Unmanned Aerial Vehicle Services in 5G Networks: New High-Level Architecture Integrating 5G With U-Space IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-22 Samir Si-Mohammed; Maha Bouaziz; Hamed Hellaoui; Oussama Bekkouche; Adlen Ksentini; Tarik Taleb; Lechoslaw Tomaszewski; Thomas Lutz; Gokul Srinivasan; Tanel Jarvet; Pawel Montowtt
To provide efficient, safe, and secure access to the airspace, the European Union has launched a set of new services called U-space that allow for the support of unmanned aerial vehicle (UAV) management and conflict prevention for flights in the airspace. These services are based on communication technology, which is expected to be the key enabler to unlock the underlying potential of UAV operations
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VTC 2021 Spring IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09
Describes the above-named upcoming conference event. May include topics to be covered or calls for papers.
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New IEEE Vehicular Technology Society Standards Initiatives [Standards] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2021-02-09 Edward Au
Reports on new standards initiative by the IEEE Vehicular Technology Society.
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2020 VT Year End Index IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-14
Presents the 2020 subject/author index for this publication.
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VTS Future IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-08
Advertisement. Join VTS to network with a distinguished set of individuals who are paving the path to the future and get access to a vast repository of knowledge that could lead to you to great inventions.
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VTS Awards and Recognition IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-12-08
Every year the Vehicular Technology Society looks to sponsor and formally recognize individuals, chapters, and writings that exemplify the spirit of advancing land, airborne and maritime mobile services. To view the full detailed listing of each award and past recipients, please visit our Awards page on the website. Nominators should utilize the forms associated with each award on the website. vtsociety
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Front Cover IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24
Presents the front cover for this issue of the publication.
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Open Journal of Vehicular Technology IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Table of Contents IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24
Presents the table of contents for this issue of the publication.
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Staff List IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Welcome to the December 2020 Issue of VTM [From the Editor] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Javier Gozalvez
Presents the introductory editorial for this issue of the publication.
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Growing With Technology to Serve Members [President's Message] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Abbas Jamalipour
Presents the President's message for this issue of the publication.
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The Role of 5G in Limiting the Impact of the COVID-19 Pandemic [Mobile Radio] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Matthias Patzold
Reports on the impact of 5G mobile communications in the wake of the COVID-19 pandemic. Ericsson expects the global number of 5G subscriptions to exceed 190 million by the end of 2020 and 2.8 billion by the end of 2025. The forecast is included in the June 2020 edition of the Ericsson Mobility Report [1], along with projections for data traffic growth and regional 5G subscriptions. The report also
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December 2020 Land Transportation News [Transportation Systems] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Harvey Glickenstein
Reports on recent trends and development with rail transportation.
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A Fond Farewell to a VTM Institution [Land Transportation] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Gary Touryan
Reports on the retirement of Harey Glickenstein as editor of the “Land Transportation” column for IEEE Vehicular Technology Magazine.
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Laying the Milestones for 6G Networks [From the Guest Editors] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Klaus David; Anwer Al-Dulaimi; Harald Haas; Rose Qingyang Hu
The articles in this special section focus on the evolution of automotive engineering that deploy 6G networks. The continuous evolution of network technology and the digitization of the economy are key drivers for defining the expected 6G networks. Academia and industry have made tremendous strides during the past few years to shift the networking paradigm from human-centric communication to machine-type
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6G Wireless Channel Measurements and Models: Trends and Challenges IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-10-22 Cheng-Xiang Wang; Jie Huang; Haiming Wang; Xiqi Gao; Xiaohu You; Yang Hao
In this article, we present our vision of the application scenarios, performance metrics, and potential key technologies of 6G wireless communication networks. We then comprehensively survey 6G wireless channel measurements, characteristics, and models for all frequency bands and all scenarios, focusing on millimeter-wave (mm-wave), terahertz, and optical wireless communication channels under all spectra;
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Ultramassive MIMO Systems at Terahertz Bands: Prospects and Challenges IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-10-07 Alice Faisal; Hadi Sarieddeen; Hayssam Dahrouj; Tareq Y. Al-Naffouri; Mohamed-Slim Alouini
Terahertz (THz)-band communications are currently being celebrated as a key technology that could fulfill the increasing demands for wireless data traffic in 6G wireless communications. Many challenges, such as high propagation losses and power limitations, which result in short communication distances, have yet to be addressed for this technology to be realized. Ultramassive multiple-input, multiple-output
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Massively Distributed Antenna Systems With Nonideal Optical Fiber Fronthauls: A Promising Technology for 6G Wireless Communication Systems IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-28 Lisu Yu; Jingxian Wu; Andong Zhou; Erik G. Larsson; Pingzhi Fan
Employing massively distributed antennas brings radio access points (RAPs) closer to users, enabling aggressive spectrum reuse that can bridge gaps between the scarce spectrum resource and extremely high connection densities in future wireless systems. Examples include the cloud radio access network (C-RAN), ultradense network (UDN), and cell-free massive multiple-input, multiple-output (CF-mMIMO)
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Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-10-07 Henk Wymeersch; Jiguang He; Benoit Denis; Antonio Clemente; Markku Juntti
5G radio for millimeter-wave (mm-wave) and beyond5G concepts at 0.1-1 THz can exploit angle and delay measurements for localization through an increased bandwidth and large antenna arrays, but they are limited in terms of blockage caused by obstacles. Reconfigurable intelligent surfaces (RISs) are seen as a transformative technology that can control the physical propagation environment in which they
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An Outlook on the Interplay of Artificial Intelligence and Software-Defined Metasurfaces: An Overview of Opportunities and Limitations IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-10-09 Lina Mohjazi; Ahmed Zoha; Lina Bariah; Sami Muhaidat; Paschalis C. Sofotasios; Muhammad Ali Imran; Octavia A. Dobre
Recent advances in programmable metasurfaces, known as software-defined metasurfaces (SDMs), offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments, enabling a plethora of new applications and technological trends. To explore this cutting-edge technological concept, we review the architecture and electromagnetic (EM) wave manipulation functionalities
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Wireless 2.0: Toward an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-24 Haris Gacanin; Marco Di Renzo
In this article, we introduce Wireless 2.0, the future generation of wireless communication networks, in which the radio environment becomes controllable and intelligent by leveraging the emerging technologies of reconfigurable metasurfaces (RMSs) and artificial intelligence (AI). In particular, we emphasize AI-based computational methods and commence with an overview of the concept of intelligent
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Topology Optimization for 6G Networks: A Network Information-Theoretic Approach IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-24 Abdulkadir Celik; Anas Chaaban; Basem Shihada; Mohamed-Slim Alouini
The classical approach of avoiding or ignoring interference in wireless networks cannot accommodate the ambitious quality-of-service (QoS) demands of ultradense cellular networks (CNs). However, recent ground-breaking information-theoretic advances have changed our perception of interference from that of a foe to a friend. This article aims to shed light on harnessing the benefits of integrating modern
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Visible Light Communication in 6G: Advances, Challenges, and Prospects IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-29 Nan Chi; Yingjun Zhou; Yiran Wei; Fangchen Hu
6G networks are expected to provide extremely high capacity and satisfy emerging applications, but current frequency bands may not be sufficient. Moreover, 6G will provide superior coverage by integrating space/air/underwater networks with terrestrial networks, given that traditional wireless communications are not able to provide high-speed data rates for nonterrestrial networks. Visible light communication
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Aerial Base Station Deployment in 6G Cellular Networks Using Tethered Drones: The Mobility and Endurance Tradeoff IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-24 Mustafa Kishk; Ahmed Bader; Mohamed-Slim Alouini
Airborne base stations (BSs) (carried by drones) have a great potential to enhance the coverage and capacity of 6G cellular networks. However, one of the main challenges facing the deployment of airborne BSs is the limited available energy at the drone, which curtails the flight time. In fact, most current unmanned aerial vehicles (UAVs) can only operate for a maximum of 1 h. The need to frequently
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Trustworthy Deep Learning in 6G-Enabled Mass Autonomy: From Concept to Quality-of-Trust Key Performance Indicators IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-30 Chen Li; Weisi Guo; Schyler Chengyao Sun; Saba Al-Rubaye; Antonios Tsourdos
Mass autonomy promises to revolutionize a wide range of engineering, service, and mobility industries. Coordinating complex communication among hyperdense autonomous agents requires new artificial intelligence (AI)-enabled orchestration of wireless communication services beyond 5G and 6G mobile networks. In particular, safety and mission-critical tasks will legally require both transparent AI decision
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Machine Learning for 6G Wireless Networks: Carrying Forward Enhanced Bandwidth, Massive Access, and Ultrareliable/Low-Latency Service IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-25 Jun Du; Chunxiao Jiang; Jian Wang; Yong Ren; Merouane Debbah
To satisfy the expected plethora of demanding services, the future generation of wireless networks (6G) has been mandated as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and ultrareliable and lowlatency service in 5G wireless networks to a more powerful and intelligent level. Recently, the structure of 6G networks has tended to be extremely heterogeneous
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Peculiar Times Being Used to Analyze and Plan Ahead [Connected and Autonomous Vehicles] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Elisabeth Uhlemann
Reports on trends and future market developments predicted for connected and autonomous vehicles.
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Recent Impacts on the Automotive Electronics Industry [Automotive Electronics] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Joao P. Trovao
Reports on trends in automotive sales and electronics.
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Standards for the Gaming Industry [Standards] IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-11-24 Edward Au
Reports on IEEE Standards development in the gaming industry. To address these issues while guaranteeing interoperability and compatibility for global gaming services, two recently established IEEE standard projects, IEEE P2861 and IEEE P2861.1, involve different stakeholders including game developers, game publishers, network vendors, and device vendors in the online gaming ecosystem. IEEE P2861,
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Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression, and Challenges IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-24 Zhiyong Du; Yansha Deng; Weisi Guo; Arumugam Nallanathan; Qihui Wu
Artificial intelligence (AI) heralds a step-change in wireless networks but may also cause irreversible environmental damage due to its high energy consumption. Here, we address this challenge in the context of 5G and beyond, where there is a complexity explosion in radio resource management (RRM). For high-dimensional RRM problems in a dynamic environment, deep reinforcement learning (DRL) provides
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Aviation Data Lake: Using Side Information to Enhance Future Air-Ground Vehicle Networks IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-09-17 Jinlong Sun; Guan Gui; Hikmet Sari; Haris Gacanin; Fumiyuki Adachi
Future denser air-ground vehicle networks (AGVNs) face challenges such as resource allocation, mobility management, secure transmission, and so on. At the same time, surveillance is a must for modern air traffic management. This motivates us to find opportunities in the aerial vertical by forming a conceptual surveillance plane for aerial vehicles. In this article, we propose an enhanced software-defined
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Prospective Immersive Human-Machine Interface for Future Vehicles: Multiple Zones Turn the Full Windscreen Into a Head-Up Display IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-08-28 Ali Ozgur Yontem; Kun Li; Daping Chu; Valerian Meijering; Lee Skrypchuk
The physical bottleneck of optical design and the complexity associated with the human visual system (HVS) limits the true potential of the head-up display (HUD) for use in vehicles. A full windscreen of visual information feedback is required for driving safety, and its implementation to enhance the driving experience is one of the most significant challenges. We present an immersive augmented reality
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Beyond 5G: Big Data Processing for Better Spectrum Utilization IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-06-08 Adrian Kliks; Lukasz Kulacz; Pawel Kryszkiewicz; Hanna Bogucka; Marcin Dryjanski; Magnus Isaksson; George P. Koudouridis; Per Tengkvist
This article emphasizes the great potential of big data processing for advanced user- and situationoriented, context-aware resource utilization in future wireless networks. In particular, we consider the application of dedicated, detailed, and rich-in-content maps and records called radio-service maps (RSMs) for unlocking the spectrum opportunities in 6G networks. Due to the characteristics of 5G,
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Physical-Layer Security for Vehicle-to-Everything Networks: Increasing Security While Maintaining Reliable Communications IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-07-10 Michael Rice; Bradford Clark; Dakota Flanary; Benjamin Jensen; Nathan Nelson; Kalin Norman; Ethan Perrins; Willie K. Harrison
This article highlights the potential contribution of physical-layer security in making vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) networks more secure against eavesdropping. We showcase a set of experiments using a mobile testbed for both types of networks and demonst rate that finite block-length physical-layer security coding increases the security while maintaining reliable communications
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Detecting Fake Mobile Crowdsensing Tasks: Ensemble Methods Under Limited Data IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-07-09 Murat Simsek; Burak Kantarci; Yueqian Zhang
The nondedicated sensing capabilities of smart mobile devices contribute to Internet of Things (IoT) ecosystems with integral building blocks called mobile crowdsensing (MCS) systems. The distributed and nontrusted nature of MCS systems leads to various threats for devices and MCS platforms as well as for end users. Out of the many threats, fake tasks may lead to drained resources at the participating
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Artificial Intelligence Security in 5G Networks: Adversarial Examples for Estimating a Travel Time Task IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-07-09 Jing Qiu; Lei Du; Yuanyuan Chen; Zhihong Tian; Xiaojiang Du; Mohsen Guizani
With the rapid development of the Internet, the nextgeneration network (5G) has emerged. 5G can support a variety of new applications, such as the Internet of Things (IoT), virtual reality (VR), and the Internet of Vehicles. Most of these new applications depend on deep learning algorithms, which have made great advances in many areas of artificial intelligence (AI). However, researchers have found
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Toward Smart Vehicle-to-Everything-Connected Powertrains: Driving Real Component Test Benches in a Fully Interactive Virtual Smart City IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-08-03 Markus Eisenbarth; Marius Wegener; Rene Scheer; Jakob Andert; Dominik S. Buse; Florian Klingler; Christoph Sommer; Falko Dressler; Peter Reinold; Rafael Gries
In the context of increasing electrification and the automation of future mobility, research and development of efficient powertrains requires enhanced test methods. One important aspect to consider is the complex interactions among a smart driving strategy, traffic flow, an individual vehicle's energy demand and emissions, and the corresponding overall values. Until now, the respective development
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Interference Geolocation in Satellite Communications Systems: An Overview IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-07-10 Caiyong Hao; Daquan Feng; Qinyu Zhang; Xiang-Gen Xia
Satellite interference geolocation plays a critical role in addressing radio interference problems related to satellite communications systems. Traditional interference geolocation approaches are mainly based on time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements. However, since new technologies have appeared, such as the widespread use of high-frequency bands
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Pairing a Circular Economy and the 5G-Enabled Internet of Things: Creating a Class of ?Looping Smart Assets? IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-06-02 Andreas Miaoudakis; Konstantinos Fysarakis; Nikolaos Petroulakis; Sofia Alexaki; George Alexandirs; Sotiris Ioannidis; George Spanoudakis; Vasilis Katos; Christos Verikoukis
The increase in the world's population has led to a massive rise in human consumption of the planet's natural resources, well beyond their replacement rate. Traditional recycling concepts and methods are not enough to counter such effects. In this context, a circular economy (CE), that is, a restorative and regenerative by-design economy, can reform today's "take-make-dispose" economic model. On the
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Protecting In-Vehicle Services: Security-Enabled SOME/IP Middleware IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-05-13 Marco Iorio; Alberto Buttiglieri; Massimo Reineri; Fulvio Risso; Riccardo Sisto; Fulvio Valenza
With every generation, vehicles are becoming smarter and more oriented toward information and communications technology (ICT). However, computerization is posing unforeseen challenges in a sector for which the first goal must be safety: car hacking has been shown to be a real threat. This article presents a novel mechanism to provide improved security for applications executed in the vehicle based
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Front Cover IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-02-20
Presents the front cover for this issue of the publication.
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VTC2020-Fall/VPPC2020 IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-02-20
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Table of Contents IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-02-20
Presents the table of contents for this issue of the publication.
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Staff List IEEE Veh. Technol. Mag. (IF 7.921) Pub Date : 2020-02-20
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
Contents have been reproduced by permission of the publishers.