IEEE Access Impact Factor Increases to 4.098

IEEE Access increased its Impact Factor to 4.098 in the 2018 JCR release. With over 16,000 articles now published on IEEE Xplore, IEEE Access continues its impressive growth since its 2013 launch. We are extremely grateful to our hard-working and dedicated Editor-in-Chief, Editorial Board Members, Associate Editors, reviewers, and to all of our authors for their high-quality contributions to this open access journal. The IEEE Access team thanks you all for contributing to this great achievement.

Roadmap to 5G: Rising to the Challenge

Submission Deadline: 28 April 2019

IEEE Access invites manuscript submissions in the area of Roadmap to 5G: Rising to the Challenge.

5G technology is crucial for building a modern information society (in Europe it is called a gigabit society). This is a society in which a citizen uses real-time interactive e-government services and advanced e-health diagnostics surrounded by Internet of Things services or participates in mass cultural events through high-quality digital media. It is expected that 5G will also increase revenue from mobile business applications by providing them a seamless, reliable communication service without the need for physical application installation on terminal equipment.

The horizon for the forthcoming network is 2020-2025 in several countries, and different strategies are being proposed by governments and enterprises in order to eliminate barriers, integrate solutions and start installation of required hardware. We can say that 5G is almost there, at least as far as research is concerned. However, there are many different inherent issues related to the development of the infrastructure. Among them, economic issues appear due to the conflict of interests between operators and citizenship (to operators, investment is only advantageous in dense hotspots). In addition, health problems may arise by high radiation of electromagnetic fields in cumulative 5G networks. Other issues are concerned with bandwidth access and sharing since the current bandwidth is not enough for the expected massive use of the mobile infrastructure. At last, implementation barriers appear where end-to-end communications with multiple radio and wired standards are concerned.

Some of these problems require political actions (regulations), others require business plans which may ensure revenues for required high investments. All the challenges may be faced by the introduction of technological solutions, which should make the implementation of 5G easier and smoother. This Special Section in IEEE Access aims at presenting the roadmap for the implementation of 5G network through the presentation of any challenges and the proposition of solutions in order to provide smooth research-to-market actions. This Special Section is not limited to research issues even if research challenges are included, but goes beyond by providing a vision of all aspects engaged in the 5G development roadmap. Therefore, we expect reports of experience and new technical insights/ideas presenting 5G deployment challenges, as well as potential solutions from all the stakeholders including operators, hardware vendors, the academic community and administration holders.

The topics of interest include, but are not limited to:

  • Benefits of 5G in the society: smart factories, smart cities, smart transport
  • Present initiatives of 5G implementations and global use cases showing 5G development
  • Standardization and interwork of standards
  • Current limitations and necessary regulations
  • Legal aspects related with the use of the new infrastructure (e.g., multi-operator scenarios)
  • New technological solutions for improving implementation
  • Existing best practices opening the road to deployment in local markets
  • Innovative business plans for 5G exploitation
  • Motivation actions for 5G development. Assimilation of global plans
  • Novel measurements for clarifying requirements for the forthcoming network

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor:  Kostas E. Psannis, University of Macedonia, Greece

Guest Editors:

  1. Muhammad Imran, King Saud University, Saudi Arabia
  2. Wael Guibene, Amazon Lab126, USA
  3. Tomohiko Taniguchi, Fujitsu Laboratories Limited, Japan
  4. Jaime Ruiz Alonso, Nokia Inc., Spain

 

Relevant IEEE Access Special Sections:

  1. Modelling, Analysis, and Design of 5G Ultra-Dense Networks
  2. Emerging Technologies for Device to Device Communications
  3. Emerging Technologies for Vehicle to Everything (V2X)


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  kpsannis@uom.gr

Intelligent and Cognitive Techniques for Internet of Things

Submission Deadline: 15 December 2019

IEEE Access invites manuscript submissions in the area of Intelligent and Cognitive Techniques for Internet of Things.

As a large-scale network to promote information in big data, Internet of Things (IoT) has been widely used in the fields of modern intelligent services such as ecological protection, intelligent homes, food safety, energy-saving and emission-reduction, logistics, transport, and national information coverage, etc. The development of related communication and networking technologies also provides strong technical support for the popularization of the IoT. However, due to the increasing demands of multiple users for efficient access to the massive and heterogeneous IoT information, improving the autonomous cognitive ability of IoT and realizing the intelligent information transmission and optimization processing have become urgent problems. Currently, the research on intelligent and cognitive IoT is at its initial stage. Although some intelligent algorithms and self-organization networking technologies for IoT have been proposed, there still exist some problems such as complex management, high maintenance cost and insufficient self-adaptability. Moreover, the traditional self-organization networking technology has been unable to fully adapt to a more complex transmission environment due to the lack of flexible self-management ability. Hence, existing IoT technologies needs to add intelligent elements and change from “perception” to “cognition” through combining IoT with cognitive methods. In cognitive IoT, the self-organization networking technology can use the group collaboration between nodes to accomplish the common mission, which reflects wisdom, distribution, and robustness of IoT. Cognitive IoT can improve the transmission performance through establishing dynamic routing, searching optimal transmission path adaptively and optimizing configuration of each node in the network. Cognitive IoT enables organizations to learn from data coming from connected devices, sensors, machines and other sources, and infuses intelligence into business operations, customer experiences, products and people.

Motivated by the above challenges, this Special Section in IEEE Access aims to capture the state-of-the-art advances in intelligent and cognitive techniques for Internet of Things and other related research. This Special Section will trigger new research interest in intelligent and cognitive concepts from both industry and academia, aiming to solve some challenging problems in the context of intelligent and cognitive techniques. Review papers on this topic are also welcome.

The topics of interest include, but are not limited to:

  • Cognitive techniques for hybrid IoT and satellite communications
  • Spectrum sensing and spectrum sharing for cognitive IoT
  • Cognitive self-organization networks
  • Self-organization network related issues in self-maintenance and self-installation
  • Smart network management and resource allocation techniques
  • Large-scale cognitive communications and networks
  • Self-organization network related issues in self-maintenance and self-installation
  • Smart network management and resource allocation techniques
  • Self-organization network based on environmental monitoring
  • Current and future trends in cognitive IoT
  • Performance evaluation metrics of cognitive IoT
  • Optimization techniques for efficient resources planning
  • Energy management and green technology
  • Metrics, fundamental limits, and trade-offs involving cognitive IoT
  • Joint learning and cognitive radio for IoT
  • Intelligent image processing technique
  • Cloud and edge computing and identification or detection

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Min Jia, Harbin Institute of Technology, China

Guest Editors:

  1. Qilian Liang, University of Texas at Arlington, USA
  2. Jinsong Wu, University of Chile, South America
  3. Tariq S. Durrani, University of Strathclyde, UK
  4. Qihui Wu, Nanjing University Aeronautics and Astronautics, China
  5. Wei Xiang, James Cook University, Australia
  6. Xin Wang, Qualcomm Inc, USA

 

Relevant IEEE Access Special Sections:

  1. Mobile Edge Computing
  2. Intelligent Systems for the Internet of Things
  3. Networks of Unmanned Aerial Vehicles: Wireless Communications, Applications, Control and Modelling


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  jiamin@hit.edu.cn

Proximity Service (ProSe) Challenges and Applications

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Proximity Service (ProSe) Challenges and Applications.

The mobile revolution is changing the way we interact with people and things around us. Proximity awareness, the ability to actively/passively and continuously search for relevant value in one’s physical proximity, is at the core of this phenomenon.

Generally, Proximity Service (ProSe) can be composed of two main groups of use cases: public safety communications and discovery mode (commercial applications). On one hand, the ability to support direct communication is a core requirement for public safety use cases, when the devices are in proximity, and the network is down or when the device is out of coverage (e.g., in the situations of disaster rescue), as it may take too much time to install new communication equipment and restore damaged infrastructure. On the other hand, much more than just a “friend finder”, commercial discovery mode could establish a paradigm shift from the Personal Computer (PC) “search-to-discover” mindset, to “always-on” discovery services that are fundamental to defining the next generation of mobile service.

Existing technologies used to serve the proximity awareness can be broadly divided into over-the-top (OTT), and Device-to-Device (D2D) (peer-to-peer (P2P)) solutions. In the OTT model, a server located in the cloud receives periodic location updates from user mobile devices. Besides the underlying enabling novel technologies, the latest application and research results of ProSe in academic, industrial fields and standardization should be analyzed and designed. In this Special Section in IEEE Access, we solicit articles from researchers in the field to comprehensively present architecture, fundamental issues and applications in ProSe networking environment from interdisciplinary viewpoints.

The topics of interest include, but are not limited to:

  • D2D Communications technologies
  • Peer and Service Discovery in ProSe
  • Forwarding mechanism in ProSe
  • Profile matching in ProSe
  • ProSe development framework
  • Energy-efficient technologies in ProSe
  • Security, trust, privacy in ProSe
  • Smart sensors and sensor systems for ProSe
  • Wireless networks with improved responsiveness for ProSe
  • Human-computer Interface (HCI) for ProSe
  • Human robot interaction for ProSe
  • Activity recognition
  • Indoor localization and tracking systems
  • Incentive mechanism (mobile participatory sensing)
  • Business models of proximity service
  • Mobile Social Networks in proximity (MSNP)
  • Vehicular social Networks (VSN)
  • Mobile crowdsourcing applications
  • People-centric computing

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Yufeng Wang, Nanjing University of Posts and Telecommunications, China

Guest Editors:

  1. Qun Jin, Waseda University, Japan
  2. Jianhua Ma, Hosei University, Japan
  3. Klimis Ntalianis, Athens University of Applied Sciences, Greece
  4. Md Zakirul Alam Bhuiyan, Fordham University, USA
  5. Michele Luvisotto, ABB Corporate Research, Sweden

 

Relevant IEEE Access Special Sections:

  1. Human-Centered Smart Systems and Technologies
  2. Advanced Big Data Analysis for Vehicular Social Networks
  3. Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact:  wfwang@njupt.edu.cn

D2D Communications: Security Issues and Resource Allocation

Submission Deadline: 28 February 2019

IEEE Access invites manuscript submissions in the area of D2D Communications: Security Issues and Resource Allocation.

Device-to-device (D2D) communications will enable direct communications between devices in cellular networks, thus potentially improving the spectrum utilization, enhancing the overall throughput, and increasing energy efficiency. D2D communication has the potential to enable new peer-to-peer and location-based applications and services, as well as to help offload traffic from the congested traditional cellular networks.

The primary issue with respect to D2D communications, is its sharing of spectrum resources with traditional cellular and other communication networks. D2D systems should be able to use the same spectral resources occupied by traditional communication devices in an opportunistic manner, in order to facilitate the needed point-to-point connectivity. To solve the spectrum scarcity issues involving D2D and traditional communication systems, the research community has resorted to the Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) paradigms that devise new approaches for enabling spectrally efficient D2D communication networks. These new approaches have resulted in innovative network architectures and applications that have the potential to redefine the current state-of-the-art of wireless connectivity and to shape the next generation cellular communications (e.g., 5G and Vehicle-to-Vehicle (V2V) / Vehicle-to-Infrastructure (V2I) communications). The proliferation of D2D communications implies also special security measures, as the involved devices are susceptible to eavesdropping, interference, jamming, and other types of attacks.

The topics of interest include, but are not limited to:

  • D2D communications for 5G networks
  • Cognitive Radio and Dynamic Spectrum Sharing for D2D deployment in TVWS
  • Spectrum regulation and management aspects for D2D networks
  • Energy and spectral efficiency
  • Software Defined Networks (SDN) and Software Defined Radio (SDR) for D2D communications
  • D2D standardization
  • Interference and power control
  • Radio resource allocation and scheduling
  • Biologically-inspired techniques for D2D spectrum management
  • Deep and reinforcement learning for D2D
  • D2D non-orthogonal multiple access (NOMA) frameworks
  • D2D for vehicular communications
  • Vehicle-to-anything (V2X) communications
  • IoT architectures for D2D
  • Social networking for D2D
  • D2D test-beds, prototypes, and implementations
  • Security and privacy for D2D communications

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Li Wang, Beijing University of Post and Telecommunications (BUPT), China

Guest Editors:

  1. Antonino Orsino, Ericsson Research, Finland
  2. Adrian Kliks, Poznan University of Technology, Poland
  3. Alexander M. Wyglinski, Worcester Polytechnic Institute, USA
  4. Vlad Popescu, Transilvania University of Brasov, Romania
  5. Mauro Fadda, University of Cagliari, Italy

 

Relevant IEEE Access Special Sections:

  1. Emerging Technologies for Device to Device Communications
  2. Emerging Technologies for Vehicle to Everything (V2X)
  3. Radio Frequency Identification and Security Techniques


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: liwang@bupt.edu.cn

AI-Driven Big Data Processing: Theory, Methodology, and Applications

Submission Deadline: 31 March 2019

IEEE Access invites manuscript submissions in the area of AI-Driven Big Data Processing: Theory, Methodology, and Applications.

With the rapid development of network infrastructures and personal electronic devices, big data generated from Internet, sensing networks, and other equipment are rapidly growing, and have received increased attention in recent years. Big data consists of multisource content, for example, images, videos, audio, text, spatio-temporal data, and wireless communication data. Moreover, big data processing includes computer vision, natural language processing (NLP), social computing, speech recognition, data analysis in Internet of Vehicle (IoV), real-time data analysis in Internet of Things (IoT), and wireless big data processing.

Recently, artificial intelligence (AI)-driven big data processing technologies based on pattern recognition, machine learning, and deep learning, are intensively applied to deal with the large-scale heterogeneous data. However, challenges still exist in the development of AI-driven big data processing.

In computer vision and image processing, increasingly more databases and data streams have been transmitted and collected. One of the biggest challenges in the massive image/video data analysis is to develop energy efficient and real-time methods to extract useful information out of the colossal amount of data being generated every second. In speech signal processing, benefitting from the help of ‘Big Data’ and new AI technology, a lot of progress has also been made in speech processing area. How to build a condition robustness speech processing system using limited labeled data is still a direction to emphasize studying in the future.

In NLP, knowledge is an essential part of artificial intelligence. Many NLP tasks, such as opinion mining, question answering system, and dialog system need big data to get more knowledge to improve the system performance. How to effectively use the existing huge knowledge in NLP systems is still a hot research topic. In wireless communications, facing 5G and beyond systems with the increased antenna number, huge bandwidth and versatile application scenarios, the channel characteristics become more complex and hidden in big volume of data. Simultaneously, there will be a continuous increase in the wireless channel dimension which is already considerably large. In this Special Section in IEEE Access, we invite researchers to discuss the aforementioned challenges; analyzing and processing big data in a more effective and cost reducing way, discovering and understanding knowledge from the data, and generalizing and transferring the discovery into other application fields, are challenging problems to solve.

The topics of interest include, but are not limited to:

  • Foundations of machine learning and pattern recognition
  • Neural networks and deep learning
  • Image big data and computer vision
  • Natural language processing
  • Wireless big data processing
  • Speech big data analysis and speaker recognition
  • Platforms and systems, e.g., architecture design, hardware implementation

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor:  Zhanyu Ma, Beijing University of Posts and Telecommunications, China

Guest Editors:

  1. Sunwoo Kim, Hanyang University, Korea
  2. Pascual Martínez-Gómez, Amazon, US
  3. Jalil Taghia, Uppsala University, Sweden
  4. Yi-Zhe Song, Queen Mary University of London, UK
  5. Huiji Gao, LinkedIn, US

 

Relevant IEEE Access Special Sections:

  1. Big Data Learning and Discovery
  2. Multimedia Analysis for Internet-of-Things
  3. Advanced Data Analytics for Large-scale Complex Data Environments


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: mazhanyu@bupt.edu.cn

Mobile Service Computing with Internet of Things

Submission Deadline: 31 March 2019

IEEE Access invites manuscript submissions in the area of Mobile Service Computing with Internet of Things.

Service computing is a bridge among systems, man, and cybernetics, which covers the science and technology of connecting the gap between business and IT services, and has attracted increasing attention from both industry and academia. The services of IoT are defined as software artifacts that are autonomous, self-described, reusable, and highly portable. They’re the basic units for building rapid, low-cost, secure, and reliable applications. Thus, the service computing paradigm saves on development costs that would otherwise be spent creating new software components for each new business process.

Due to the rapid developments in mobile devices and wireless technologies, mobile devices play an increasingly important role in our daily lives. Thus, there is great potential in mobile technology   and many opportunities for traditional service computing in the mobile environment. Services are no longer limited to traditional contexts and platforms. They can be deployed on mobile devices or cloud servers and delivered over wireless networks. Mobile service computing is undoubtedly enabling us to provide and access services anytime and anywhere, which greatly facilitates our life, work, and studies. However, the application of mobile service computing still faces challenges due to key limitations such as constant mobility, limited capability, restricted power, unguaranteed security, etc., which bring great challenges for both service provision and consumption.

The goals of this Special Section in IEEE Access are (1) to present the state-of-the-art research on mobile service computing with IoT, and (2) to provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.

In this Special Section, we invite articles that present new theories, methods and techniques applied to mobile service computing. We particularly encourage articles demonstrating novel strategies to new types of mobile service computing domains such as mobile cloud computing, mobile edge computing, etc.  Applications may be drawn by investigating the usage of novel methods for all aspects of the mobile service computing system, including system design, performance optimization, algorithm design, scheduling methods, energy saving, and security management.

The topics of interest include, but are not limited to:

  • Service description in mobile environments for IoT
  • Performance optimization in mobile environment
  • Quality evaluation for mobile services of IoT
  • Mobile service selection, recommendation and composition
  • Mobile service provisioning
  • Energy efficiency in mobile service computing
  • Mobile service offloading
  • Smart Technologies for mobile service computing
  • Formal Modeling and Verification for mobile service computing
  • Big data and data analysis for mobile service computing
  • Resource management in mobile service environments
  • Security and privacy in mobile service computing
  • Mobile device management (configuration, performance, and capacity)
  • Mobile network and communication services in IoT

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Tie Qiu, Tianjin University, China


Guest Editors:

  1. Shuiguang Deng, Zhejiang University, China
  2. Wenbing Zhao, Cleveland State University, USA
  3. Javid Taheri, The University of Sydney, Australia
  4. Weiming Shen, University of Western Ontario, Canada

 

Relevant IEEE Access Special Sections:

  1. Emotion-aware Mobile Computing
  2. Recent Advances in Socially-aware Mobile Networking
  3. Emergent Topics for Mobile and Ubiquitous Systems in Smartphone, IoT, and Cloud Computing Era


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: qiutie@ieee.org

 

Artificial Intelligence and Cognitive Computing for Communications and Networks

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Artificial Intelligence and Cognitive Computing for Communications and Networks.

With the rapid development of communication and network technologies, novel information services and applications are rapidly growing worldwide. Advanced communications and networks greatly enhance the user experience and have a major impact on all aspects of people’s lifestyles in terms of work, society, and the economy. Although advanced techniques have extensively improved user’s quality of experience (QoE), they are not adequate to meet the various requirements of seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability, as well as other scenarios. Therefore, it is a great challenge to develop smart communications and networks that support optimized management, dynamic configuration and feasible services.

Under the new service paradigm, artificial intelligence (AI) and cognitive computing break the boundary between two separate fields, neuroscience and computer science, and pave the way for machines to have reasoning abilities which is analogous to human. The research field of AI and cognitive computing are interdisciplinary and uses knowledge and methods from many areas such as psychology, biology, signal processing, physics, information theory, mathematics, and statistics, which are very promising approaches to deal with dynamic and large-scale topology; thus, we should explore AI-based techniques such as statistical learning, feedforward neural networks, deep recurrent neural networks, etc., for complicated decision making, network management, resource optimization and in-depth knowledge discovery in complex environments. Furthermore, communications and network ecosystems must be upgraded with new capabilities such as machine learning, data analytics, and cognitive power to provide advanced intelligence.

This Special Section in IEEE Access will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to smart communication and networks. To meet the extreme requirements of the user experience, energy efficiency and performance in a complex network environment, and novel design, configuration and optimization of network communication are needed. This Special Section will discuss how to improve the QoS of communications and networks using AI and cognitive computing.

The topics of interest include, but are not limited to:

  • Smart communication\network architectures and infrastructure
  • Data analytics and behavior prediction for communications\networks
  • Cognitive computing, affective computing, machine learning and other innovative approaches for smart communications\networks
  • Context-aware, emotion-aware, and other novel communication\network services based on AI and cognitive computing
  • Recommender system and personalized services based on AI and cognitive computing
  • Multi-modal information fusion, contextual data management and in-depth knowledge discovery for communications\networks
  • Intelligent and interactive communication\network services and applications
  • AI-based testbed, performance evaluation for communications\networks
  • AI-based security and privacy protection for communications\networks

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Yin Zhang, Zhongnan University of Economics and Law, China


Guest Editors:

  1. Giancarlo Fortino, University of Calabria, Italy
  2. Limei Peng, Kyungpook National University, South Korea
  3. Iztok Humar, University of Ljubljana, Slovenia
  4. Jianshan Sun, Hefei University of Technology, China

 

Relevant IEEE Access Special Sections:

  1. Social Computing Applications for Smart Cities
  2. Human-Centered Smart Systems and Technologies
  3. Big Data Analytics in Internet-of-Things and Cyber-Physical System


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: yin.zhang.cn@ieee.org.

 

Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends

Submission Deadline: 15 February 2019

IEEE Access invites manuscript submissions in the area of Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends.

To satisfy the explosively increasing demands of high-speed data applications and massive access requirements of various Internet-of-thing (IoT) devices, a whole package of performance requirements has been proposed for the fifth-generation (5G) mobile communication system. In particular, 5G should be able to connect one million connections per square kilometer, and the system capacity will grow by a factor of 1000 compared to the fourth-generation (4G) system to deliver a consistent experience across a variety of scenarios.

Motivated by the necessity of network architecture enhancement, a paradigm of fog radio access networks (F-RANs) has emerged as a promising evolution path for 5G network architecture. In F-RANs, a fog-computing layer is formed at the edge of networks, and a part of the service requirements can be responded to locally without interacting with the cloud computing center via the fronthaul links. Therefore, by taking full advantage of distributed caching and centralized processing, F-RANs provide great flexibility to satisfy quality-of-service requirements of various 5G scenarios. F-RAN has become a research hotspot, and draws a lot of attention from both academia and industry. As it integrates with artificial intelligence and other new emerging technologies, 5G faces new challenges, and the study of F-RANs is entering a new era as well.

This Special Section in IEEE Access will focus on the state-of-art protocols, techniques and applications of F-RANs in the typical scenarios of 5G. The aim of this Special Section is to share and discuss recent advances and future trends of F-RANs, and to bring academic researchers and industry developers together.

The topics of interest include, but are not limited to:

  • Information-theoretic analysis for F-RANs
  • Network architecture and protocol design for 5G F-RANs
  • Computing, communication, caching, and control (4C) for F-RANs
  • Advanced PHY and MAC technologies for F-RANs
  • Resource management and cross-layer design for F-RANs
  • Fronthaul/backhaul design for F-RANs
  • Software defined F-RANs and network slicing for 5G
  • Network security for F-RANs
  • Artificial intelligence (AI)-enabled F-RANs
  • Prototype and test-bed for F-RANs

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Mugen Peng, Beijing University of Posts and Telecommunications, China


Guest Editors:

  1. Zhongyuan Zhao, Beijing University of Posts and Telecommunications, China
  2. Q. S. Quek, Singapore University of Technology and Design, Singapore
  3. Guoqiang Mao, University of Technology Sydney, Australia
  4. Zhiguo Ding, The University of Manchester, UK
  5. Chonggang Wang, InterDigital Communications, USA

 

Relevant IEEE Access Special Sections:

  1. Future Networks: Architectures, Protocols, and Applications
  2. Mobile Edge Computing
  3. Social Computing Applications for Smart Cities


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: pmg@bupt.edu.cn.

 

Emerging Technologies for Vehicle to Everything (V2X)

Submission Deadline: 15 December 2018

IEEE Access invites manuscript submissions in the area of Emerging Technologies for Vehicle to Everything (V2X).

Recently, the vehicle to everything (V2X) paradigm is attracting more attention from both academia and industry. In V2X, while connecting all the devices (motor-vehicle, non-motor-vehicle, bicycle, pedestrian, etc.) on the road, we can collect and share the real-time information (speed, accelerate, route, etc.) among V2X devices for automatic piloting and intelligent traffic control. On the other hand, to accelerate the automatic piloting technologies, big data and deep learning-based image recognition and environment reconstruction is an inevitable technology. In addition to intelligent traffic and automatic driving technologies, 5G will also play a significant role in V2X by providing fast speed transmissions for in-car entertainment (4K/8K high-definition video, etc.), as well as for vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-pedestrian (V2P), and vehicle-to-network (V2N) communications. Meanwhile, with V2X’s massive number of connected devices, information centric networking (ICN)/content caching technologies can be exploited for optimal vehicle network routing and wireless information delivery, which will leverage the network and wireless transmission performance. Together with the adoption of optimal routing, ICN-based network architecture will further alleviate the backhaul load. In V2X, to meet the different quality of service (QoS) requirements of a massive number of connected devices, the software defined network (SDN) based network slicing technology can be invoked to create different dedicated network slices.  Based on all those discussions, it is known that to accomplish the goal of V2X, comprehensive solutions are needed to reshape existing networks. Moreover, because of the massive number of connected devices on the road, the future of driving and traffic will be reshaped, and policies on this forthcoming V2X era from the government should be set forth as well.

However, until now, only the V2X’s initial ambitions regarding intelligent traffic control, automatic driving and fast speed transmission experiences are sketched. So, comprehensive technologies and policies able to accomplish all the goals of V2X from academia, industry and government are still needed. This Special Section in IEEE Access aims to bring together researchers to report their recent research advances in V2X and exchange new ideas with innovative technologies and solutions. This Special Section will include a collection of outstanding research-oriented review and survey articles, high level position papers and new research results, covering a wide range of topics within V2X systems and networks.

The topics of interest include, but are not limited to:

  • DSRC technologies for V2X
  • C-V2X technologies for V2X
  • Signal processing technologies for V2X
  • Channel estimation and measurement technologies for V2X
  • Front-hauling and back-hauling technologies for V2X
  • Resource allocation and optimization for V2X
  • Energy efficiency analysis for V2X
  • Heterogeneous network technologies for V2X
  • Cyber security and application scenarios for V2X
  • Software defined network architectures for V2X
  • Network slicing technologies for V2X
  • ICN and SDN technologies-based network architectures for V2X
  • Unmanned aerial vehicle (UAV) assisted communications for V2X
  • Centralized and decentralized network architectures for V2X
  • Integrated vehicle edge, fog computing technologies for V2X
  • Data mining technologies for V2X
  • Vehicle and pedestrian behavior prediction technologies for V2X
  • Machine learning iteration algorithms for V2X
  • Deep learning-based image detection for V2X
  • Deep learning based 2-D, 3-D environment reconstructions for V2X
  • Big data and machine learning based technologies for V2X
  • Legislation, standardization and enforcement for V2X

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.

 

Associate Editor: Yan Zhang, University of Oslo, Norway


Guest Editors:

  1. Di Zhang, Zhengzhou University, China
  2. Zhi Liu, Waseda University, Japan
  3. Carlos Tavares Calafate, Technical University of Valencia (UPV), Spain
  4. Yi Liu, Guangdong University of Technology (GDUT), China
  5. Anwer Al-Dulaimi, EXFO Inc., Canada

 

Relevant IEEE Access Special Sections:

  1. High Mobility 5G LTE-V: Challenges and Solutions
  2. Security and Privacy for Vehicular Networks
  3. Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness


IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland

Paper submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: di_zhang@zzu.edu.cn (GE), yanzhang@ifi.uio.no (AE).