Reconfigurable Intelligent Surface Aided Communications for 6G and Beyond

Submission Deadline:  31 August 2021

IEEE Access invites manuscript submissions in the area of Reconfigurable Intelligent Surface Aided Communications for 6G and Beyond.   

Reconfigurable Intelligent Surface (RIS) aided wireless communications is a hot research topic in academic and industry communities since it can enhance both the spectrum and energy efficiency of wireless systems by artificially reconfiguring the wireless propagation environment. RIS can configure tiny antenna elements or scatterers, which can be judiciously tuned to enhance signal power at desired users, such as primary users in cognitive radio networks, or suppress signal power at undesired users, such as eavesdroppers in physical layer security networks. The RIS also finds promising applications in dense urban areas or indoor scenarios, where electromagnetic waves are prone to be blocked by obstacles such as buildings and walls. There are numerous advantages associated with RIS. For instance, since RIS needs no analog-to-digital converters or radio frequency chains, it saves energy consumption to improve its sustainability, and reduces system cost. RIS can be fabricated in small size and light weight, which can be easily deployed on a building’s facade, walls, ceilings, street lamps, etc. Furthermore, since RIS is a complementary device, it can be readily integrated into current wireless networks (both cellular network and WIFI) without many standardization modifications. Due to these appealing advantages, RIS-aided wireless communications is envisioned to be a revolutionary technique, and one of the key technologies for the sixth-generation (6G) wireless networks.

To reap the full potential offered by RIS, a number of emerging challenges for the transceiver design of RIS-aided wireless communications needs to be tackled. The transceiver beamforming design requires advanced low complexity signal processing algorithms, the incorporation of RIS in wireless communications will consume more pilot resources for the RIS-related channel estimation, and the time slots left for data transmission will be reduced. It is imperative to justify the benefits of introducing RIS when taking into account additional pilot overhead. Furthermore, most of the existing contributions on transceiver design are based on perfect channel state information (CSI), which is challenging to achieve in RIS-aided communications. Hence, robust transmission design needs to be investigated. Finally, in practice, the RIS elements are designed with discrete shifts, which further pose new challenges for evaluating its performance.

This Special Section aims to summarize recent advancements in RIS-aided wireless communications and spur more efforts in this area to make it a reality. The scope of this Special Section covers a wide range of disciplines such as wireless communications, metamaterials, signal processing, and artificial intelligence. In this Special Section, we invite high-quality, original, technical and survey articles, which have not been published previously on RIS-related techniques and their applications in wireless communications.

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

  • Integration of RIS in emerging wireless applications (e.g., RIS-aided wireless power transfer, RIS-aided mobile edge computing, RIS-aided physical layer security, IRS-aided UAV communications, etc)
  • Pilot overhead reduction schemes for channel estimation in RIS-aided wireless communications (e.g. compressed-sensing method by exploiting the sparsity of the channels)
  • Robust transceiver design based on imperfect channel state information or/and imperfect phase shift models
  • Transceiver design based on statistical channel state information
  • Joint active and beamforming for RIS-aided wireless communications
  • Information theoretical results of the capacity of RIS
  • The impact and design of using practical hardware, e.g. discrete phase shifts
  • Energy supply of RIS
  • Mobility and handover management for RIS-aided wireless communications
  • Association and coordination among RIS, base stations and users
  • Resource allocation and interference management in RIS-aided wireless communications
  • Fundamental limits, scaling laws analysis, performance analysis, and information-theoretic analysis
  • Channel and propagation models
  • Control information exchange protocols design
  • Energy efficient system design
  • Machine learning based design
  • RIS-aided mmWave/Terahertz communications
  • Measurement studies and real-world prototypes and test-beds
  • Integration of RIS-enabled networks into the standard

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

 

Associate Editor:  Cunhua Pan, Queen Mary University of London, UK

Guest Editors:

    1. Ying-Chang Liang, University of Electronic Science and Technology of China (UESTC), China
    2. Marco Di Renzo, Paris-Saclay University, France
    3. Lee Swindlehurst, University of California Irvine, USA
    4. Vincenzo Sciancalepore, NEC Laboratories Europe GmbH, Germany

 

Relevant IEEE Access Special Sections:

    1. Beyond 5G Communications
    2. Millimeter-Wave Communications: New Research Trends and Challenges
    3. Millimeter-wave and Terahertz Propagation, Channel Modeling and Applications

 

IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

 For inquiries regarding this Special Section, please contact: c.pan@qmul.ac.uk.

Beyond 5G Communications

Submission Deadline: 30 September 2020

IEEE Access invites manuscript submissions in the area of Beyond 5G Communications.

As the commercial deployment of the fifth generation of cellular networks (5G) is well underway in many countries of the world, academia as well as industrial research organizations turn their attention to what comes next. As it typically takes ten years to develop a new cellular communication standard, it is now the perfect time to identify promising topics and research directions for the next decade, which will lay the foundations for a possible 6G system. Moving from 4G to 5G, no disruptive changes to the physical layer were made. The main novelty was to simultaneously support a set of diverse applications with different throughput, latency, and reliability requirements, thanks to a flexible OFDM numerology and the concept of network slicing. Also, the spectral efficiency could be dramatically increased by supporting larger bandwidths and antenna arrays at the base station, i.e., massive MIMO. Although machine learning is currently one of the hottest topics in the field of communications, it did not play any role in the design of 5G and will mainly be used to implement, optimize, and operate such systems efficiently. 6G will likely be driven by a mix of past trends (e.g., more cells, larger and distributed antenna arrays, higher spectrum) as well as new technologies, services, applications, and devices.

The aim of this Special Section is to gather forward-looking contributions on radio access technologies beyond 5G. Topics of interest comprise new frequency bands, new multiple-antenna technologies (passive and/or active), new network deployments, new waveforms, and new applications of RF signals beyond mere communications, as well as the fusion of wireless and sensor information. A tool of central importance is machine learning, to either learn entirely new communication protocols or simply enhance traditional algorithms. Since the development of a new standard is largely driven by use cases, e.g., mobile broadband, mission critical applications, massive machine-type traffic, we explicitly solicit opinion and vision articles concerning the potential requirements and key enablers of 6G.

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

  • New wireless communication systems, network deployments, and spectrum sharing
  • Machine learning-based wireless systems and services
  • Terahertz communications and networks
  • Radar enhanced wireless systems
  • New multiple antenna technologies and deployments
  • Massive connectivity in communication systems
  • Edge intelligence for beyond 5G networks
  • Wireless big data enabled technologies
  • Photonics and wireless integration
  • Autonomous networks

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

 

Associate Editor:  Jakob Hoydis, Nokia Bell Labs, France

Guest Editors:

    1. Ulf Gustavsson, Ericsson AB, Sweden
    2. Urbashi Mitra, University of Southern California, USA
    3. Luca Sanguinetti, University of Pisa, Italy
    4. Christoph Studer, Cornell University, USA
    5. Meixia Tao, Shanghai Jiao Tong University, China

 

Relevant IEEE Access Special Sections:

  1. Antenna and Propagation for 5G and Beyond
  2. 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility 
  3. Millimeter-wave and Terahertz Propagation, Channel Modeling and Applications

 

IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: jakob.hoydis@nokia-bell-labs.com.

Challenges and Endeavors of Radiated Radio Frequency Tests for 5G Radios

Submission Deadline: 31 January 2021

IEEE Access invites manuscript submissions in the area of Challenges and Endeavors of Radiated Radio Frequency Tests for 5G Radios.

By now, we have entered the fifth generation (5G) era with intensive research and development (R&D) of various 5G applications from both industry and academia. The 5G systems promise higher spectral efficiency/energy efficiency, lower latency, and more reliable communications. These advantages are supported by millimeter wave (mmWave) and/or massive multiple-input multiple-output (M-MIMO) techniques.

Cable conducted testing has been the dominant testing method for sub-6 GHz conventional communication systems, where antenna ports are mostly accessible for conducted testing. In the conducted testing, antenna characteristics are omitted completely by testing from antenna ports.  However, for M-MIMO antenna systems with hundreds of antenna elements, conducted testing obviously becomes infeasible. Moreover, it is likely that mmWave systems will not have standard antenna ports, rendering over-the-air (OTA) the only testing solution. However, many challenges for OTA testing of 5G devices arise, e.g., the lack of antenna connectors especially at frequency region (FR) 2, the high number of antenna connectors at RF1 for base stations; the complicated and expensive system resource requirement for testing electrically large 5G devices; the time-consuming array diagnosis and calibration for M-MIMO and millimeter-wave systems; the large measurement range requirement in the test system to meet the far field assumption; the link budget issue at FR2, etc. Besides conventional antenna and radio frequency (RF) testing, it is necessary as well to test both mmWave and M-MIMO systems with appropriate channel models due to the fact that the use of beamforming and spatial filtering is sensitive to time-variant radio channel conditions.

In addition, the electromagnetic compatibility (EMC) problems of 5G systems become very serious due to the existence of complicated circuits and numerous wireless components. In practice, the EMC test needs to not only evaluate the radiated/conducted emission/susceptibility, but also identify the key sources of EMC failures. Due to the complexity of 5G systems, the identification of EMC failure source is especially challenging. Therefore, new testing solutions and post-processing techniques are needed to address the challenges of 5G EMC tests, also accounting for coexistence with existing fixed and mobile installations.

The objective of this Special Section is to address the challenges in OTA/EMC tests for 5G Technologies. The topics of interest include, but are not limited to:

  • Anechoic chamber based testing methods for 5G applications
  • Reverberation chambers based testing methods for 5G applications
  • M-MIMO antenna array diagnosis and calibration
  • Millimeter-wave antenna array diagnosis and calibration
  • Numerical modeling and simulation methods for M-MIMO systems and 5G applications
  • OTA testing of 5G base stations and terminals
  • EMC tests of 5G devices and coexisting issues
  • Virtual drive testing
  • Performance evaluation of communication systems in critical propagation scenarios
  • Progress in standardization of 5G metrology
  • Developments 5G channel model, radio channel emulator, and other testbeds for performance testing
  • OTA methods of fading emulation for demodulation and radio resource management (RRM) testing
  • OTA methods for RF performance testing
  • Uncertainty analyses for OTA/EMC tests

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

 

Associate Editor:   Wei Fan, Aalborg University, Denmark
Huapeng Zhao, University of Electronic Science and Technology of China, China

 

Guest Editors:

    1. Xiaoming Chen, Xi’an Jiao tong University, China
    2. Su Yan, Howard University, USA
    3. Pekka Kyösti, Keysight technologies and Oulu University, Finland
    4. Jukka-Pekka Nuutinen, Spirent Technologies, USA
    5. Valter Mariani Primiani, Università Politecnica delle Marche – Ancona, Italy

 

Relevant IEEE Access Special Sections:

  1. Antenna and Propagation for 5G and Beyond
  2. 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility
  3. Millimeter-wave and Terahertz Propagation, Channel Modeling and Applications


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: wfa@es.aau.dk.

New Advances in Blockchain-Based Wireless Networks

Submission Deadline: 31 December 2020

IEEE Access invites manuscript submissions in the area of New Advances in Blockchain-Based Wireless Networks.

Blockchain, as a game changer for ultra-secured and efficient digital society, has been gaining ever-increasing attention far beyond its initial application in digital currencies. One of the most fascinating topics currently is how to characterize the privacy and security in blockchain-based wireless networks. On the one hand, modern wireless communication systems are suffering from a wide range of security threats. On the other hand, traditional security operations such as encryption and protocol design are becoming increasingly incompetent for guaranteed reliability and safety in contemporary wireless networks. Against this background, providing effective blockchain proposals for efficient and secure transactions in modern wireless networks emerges as a pressing research issue both in academia and industry.

Although there have been some legacy algorithms and techniques which can prevent the disclosure of private information as well as the destruction of wireless links, such as AES encryption and beamforming in 5G networks, they may not be effective in a wide range of applications which are important to people in different specialty areas. As a matter of fact, venerability scanning has revealed a series of weaknesses in different layers of existing wireless networks. This motivates researchers in wireless security related areas to develop effective solutions to prevent the wireless systems from being hacked and/or damaged. From this point of view, our proposed Special Section will provide a valuable and timely platform for the exchange of the latest advances in this area.

A tremendous effort has been devoted to protecting privacy and security in wireless networks. Apart from many cryptography and security protocols, there has been solid work on enforcing industry standards such as the 3rd Generation Partnership Project (3GPP) and government policies (e.g., the IMT-2020 and 802.11) to grant individuals control over their own security operations. These techniques and policies aim to block the illegal disclosure of secured communication to a certain extent but may be incompetent for secured wireless transmissions at all times.

This Special Section solicits high-quality contributions that focus on the design and development of novel algorithms, technologies, and tools to address the security and privacy issues towards blockchain-based wireless networks.

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

  • New network architectures for blockchain systems
  • Performance evaluation in blockchain-based wireless networks
  • Network management in blockchain-based wireless networks
  • Privacy-aware secured protocols for blockchain-based wireless networks
  • Privacy and security in physical, link and network layer transmission for blockchain-based wireless networks
  • Heterogeneous cooperation techniques for blockchain-based wireless networks
  • Resource allocation and scheduling in blockchain-based wireless networks
  • Physical layer security in blockchain-based wireless networks
  • Cognitive and sensing techniques for blockchain-based wireless networks
  • Artificial intelligence assisted techniques for blockchain-based wireless networks
  • Routing techniques for blockchain-based wireless networks
  • Hybrid encryption techniques for blockchain-based wireless networks
  • Cross layer operations in blockchain-based wireless networks
  • Information theory and related signal processing techniques for blockchain theories, models and applications
  • Smart contracts in wireless networks
  • Semantic blockchain & knowledge-based blockchain in digital world

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

Associate Editor:  Yuan Gao, Tsinghua University, China

Guest Editors:

    1. Zhipeng Cai, Georgia State University, USA
    2. Yunchuan Sun, Beijing Normal University, China
    3. Ruidong Zhang, University of Wisconsin – Eau Claire, China
    4. Lei Zhang, University of Glasgow, UK
    5. Muhammad Zeeshan Shakir, University of the West of Scotland, UK
    6. Hamed Ahmadi, University of York, UK

 

Relevant IEEE Access Special Sections:

 

  1. Blockchain-Enabled Trustworthy Systems
  2. Secure Communication for the Next Generation 5G and IoT Networks


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: yuangao08@tsinghua.edu.cn.

Edge Computing and Networking for Ubiquitous AI

Submission Deadline: 15 May 2020

IEEE Access invites manuscript submissions in the area of Edge Computing and Networking for Ubiquitous AI.

Edge computing has become an important solution to break through the bottleneck of emerging technology development by virtue of its advantages of reducing data transmission, decreasing service latency and easing cloud computing pressure. It can also be applied to extensive application scenarios, such as smart city, manufacturing, logistics and transportation, healthcare, and smart grid. In these scenarios, transmitting massive data and requests generated by edge devices to the cloud data center is no longer the only option, and the edge computing architecture can be complementary to the cloud. Among several application scenarios, such as network optimization, intelligent manufacturing, and real-time video analytics, the combination of Deep Learning (DL) and edge computing shows its advantages.

For example, the DL model trained for face recognition can be deployed on the edge architecture to achieve real-time identity verification. In addition, from predictive maintenance to network and resource management, many researchers are paying attention to “artificial intelligence” plus “edge computing,” aiming to enhance the computing, storage and communication capabilities of edge computing networks through artificial intelligence techniques, especially Deep Reinforcement Learning (DRL). With the increment of smart devices and the diversification needs, the network environment is becoming more complex. Traditional network technologies rely on fixed mathematical models, which are not applicable in a rapidly changing network environment. The emergence of artificial intelligence can effectively solve this problem. When network devices face some complex and fuzzy network information, artificial intelligence technology relies on its powerful learning and reasoning ability to extract valuable information from massive data, and can realize intelligent management.

However, such ubiquitous intelligence potentially enabled by both edge computing and learning still faces a major challenge, i.e., the effective deployment fashion of the learning model on the collaborated “edge-cloud” architecture is still not determined. The deployment of deep learning models should concern the training and inference of them, and the edge computing architecture shall be well devised.

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

  • Deep learning applications enabled by edge computing
  • Deep learning and deep reinforcement learning for optimizing edge computing networks
  • Deep learning-based traffic offloading prediction and optimization
  • Distributed and collaborative AI with edge computing and networking
  • Hardware platforms and software stacks for deploying deep learning on the edge
  • Data processing and business intelligence on the edge
  • Offloading scheme for intensive deep learning tasks
  • Architecture and orchestration of deep learning services in edge computing
  • Deep learning for the management of edge computing networks
  • Transfer learning for the preliminary deployment of deep learning models on the edge
  • Training scheme of deep learning model at the edge
  • Federated learning for massive edge devices, edge nodes and the cloud data center
  • Federated learning devised for deep reinforcement learning, i.e., federated reinforcement learning
  • Compression of deep learning models for deploying them on edge devices or edge nodes
  • Segmentation of deep learning models for collaborative intelligence between cloud and the edge
  • “Early exit of inference” of deep learning models for accelerating the edge intelligence
  • Incentive-based training and inference schemes for heterogeneous devices in the edge
  • The fusion of training and inference in the edge computing network
  • New AI-based edge computing and networking testbed and trials

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

Associate Editor:  Victor Leung, The University of British Columbia, China

Guest Editors:

    1. Xiaofei Wang, Tianjin University, China
    2. Abbas Jamalipour, The University of Sydney, Australia
    3. Xu Chen, Sun Yat-sen University, China
    4. Samia Bouzefrane, Conservatoire National des Arts et Métiers, France

 

Relevant IEEE Access Special Sections:

 

  1. Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs)
  2. 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility
  3. Artificial Intelligence and Cognitive Computing for Communications and Networks


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact:  xiaofeiwang@tju.edu.cn.

Integrative Computer Vision and Multimedia Analytics

Submission Deadline: 30 January 2020

IEEE Access invites manuscript submissions in the area of Integrative Computer Vision and Multimedia Analytics.

In recent years, research is intensifying in computer vision-driven applications such as autonomous vehicles, computer-aided diagnosis and augmented reality. Application-level semantics of streaming video sources are becoming more and more ubiquitous in a wide spectrum of applications. Images, videos and audio can provide rich data sources, from which additional information and context can be surmised. Theoretical, practical, and algorithmic advances have opened up research opportunities that seek higher levels of semantic interpretation of Integrative computer vision and multimedia analytics.

Autonomous vehicles have attracted more attention in recent years because traffic safety is of paramount importance. Also, significant progress in artificial intelligence makes it possible to evolve driving to a more intelligent and autonomous stage. A variety of sensing modalities has become available, including radar, LIDAR, and computer vision. With advances in camera sensing and computational technologies, advances in vehicle detection using monocular vision, stereo vision, and sensor fusion with vision have been extremely active research areas in the intelligent vehicles community.

To deal with the extent and variety of digital media, researchers are combining multimedia analysis and visual analytics to form the new field of multimedia analytics. This Special Section in IEEE Access is aiming to bring attention to the critical new suite of technologies required to analyze images, text, video, geospatial data, audio, graphics, tables, and other forms of information. Multimedia analytics is a critical need for a broad range of applications, including, but not limited to, medicine, economics, social media, and security.

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

  • Autonomous vehicle detection
  • Autonomous platoon vehicle modeling
  • Autonomous robots
  • Multimodal medical image registration
  • Image/video summarization and visualization
  • Cross-media retrieval– fine-grained visual search
  • Vision-driven surveillance and monitoring systems
  • Visually-guided manipulation of physical objects
  • Human assistive devices and autonomous design
  • Real-time visual tracking
  • Real-time event detection and understanding
  • Active perception through human-machine interactions
  • Deep learning for multimedia retrieval
  • Applications of multimedia analytics (Healthcare, Fintech, large video archives, etc.

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

 

Associate Editor:  Guitao Cao, East China Normal University, China

Guest Editors:

    1. Ye Duan, University of Missouri at Columbia, USA
    2. Chao Ma, Shanghai Jiao Tong University, China
    3. Yin Li, University of Wisconsin-Madison, USA
    4. Vladimir M. Mladenovic, University of Kragujevac, Serbia

 

Relevant IEEE Access Special Sections:

  1. Visual Analysis for CPS Data
  2. Multimedia Analysis for Internet-of-Things
  3. Big Data Learning and Discovery


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: gtcao@sei.ecnu.edu.cn.

Complex Networks Analysis and Engineering in 5G and beyond towards 6G

Submission Deadline: 31 March 2020

IEEE Access invites manuscript submissions in the area of Advances in Complex Networks Analysis and Engineering in 5G and beyond towards 6G.

Modern telecommunications networks represent one of the largest scale construction and deployment efforts with renovations occurring nearly continuously over the course of decades. The resulting networks consist of numerous subsections, each following its own trajectory of development, commingled into a complex ecosystem. Typical attributes used to characterize networks (e.g., interference, coverage, throughput, robustness, cost) fail to fully capture a key feature of future wireless networks, namely the degree of organization. This is increasingly important when we consider the trajectory of the evolution of 5G wireless networks and beyond towards 6G, with respect to densification, heterogeneity and distributed and self-organizing decision-making.

This Special Section tries to shed light on whether such a self-organizing and highly dynamic world can be treated as a complex system and whether complex systems science can give insights on the emergent properties of these kinds of networks and their design and deployment. One of the most widely accepted definitions of complex system, is that of “a system in which large networks of components with no central control and simple rules of operation give rise to complex collective behavior, sophisticated information processing, and adaptation via learning or evolution” (M. Mitchell, “Complexity – A Guided Tour”, Oxford University Press, 2011). This view resonates with the trends we are seeing in wireless networks.

In this Special Section in IEEE Access, we invite submissions of high-quality, original technical and survey papers, which have not been published previously, on complex systems science approaches and techniques and their applications for communications networks.

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

  • Network science and statistical mechanics models for self-organizing communication networks
  • Relation between information theory and complex systems science
  • Measuring complexity and organization structure in cellular and IoT networks
  • Cellular automata and agent-based modeling of 5G networks and beyond
  • Application of complex systems science to industrial cyber-physical systems and machine-type communications for control, coordination or optimization
  • Nonlinear-system-based analysis and design in beyond 5G communication networks
  • Chaos-based communication systems for 5G and beyond
  • Design and applications of complex cyber-physical systems based on 5G and beyond
  • Emergence-driven network engineering communication and computation

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

 

Associate Editor:  M. Majid Butt, Nokia Bell Labs, France

Guest Editors:

    1. Celso Grebogi, University of Aberdeen, Scotland/UK
    2. Irene Macaluso, Trinity College Dublin, Ireland
    3. Murilo S. Baptista, University of Aberdeen, Scotland/UK
    4. Nicola Marchetti, Trinity College Dublin, Ireland
    5. Pedro H. Juliano Nardelli, LUT University, Finland
    6. Robert Hunjet, Defence Science and Technology Group, Australia
    7. Lt Col Ryan Thomas, US Air Force Academy, USA

 

Relevant IEEE Access Special Sections:

  1. Cyber-Physical Systems
  2. Intelligent and Cognitive Techniques for Internet of Things
  3. Modelling, Analysis, and Design of 5G Ultra-Dense Networks


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: majid.butt@nokia-bell-labs.com.

Mobile Multimedia: Methodology and Applications

Submission Deadline: 31 December 2019

IEEE Access invites manuscript submissions in the area of Mobile Multimedia: Methodology and Applications.

With the development of mobile computing and high-speed communication technologies, there is an increasing demand for mobile multimedia services and applications. Emerging technologies, such as mobile TV, 3D video, 360-degree video, multi-view video, free-viewpoint video, augmented reality (AR), and virtual reality (VR), have received significant interest and attention from both academia and industry. Those technologies are widely expected to bring exciting services and applications for monitoring, entertaining, training, and operating in the areas of smart home, smart city, public safety, healthcare, education, manufacturing, transportation, etc.

There are many open research issues in developing mobile multimedia systems, which could potentially affect many domains, including mobile computing, context-aware computing, human-computer interaction, cybernetics, cyber-physical human systems (CPHS), and information security and privacy. For example, the two-way communication between user devices and content providers in mobile interactive multimedia systems is highly delay-sensitive. Thus, latency modeling and evaluation is critical to system architecture design and resource allocation. Besides, as many mobile multimedia applications are location-related, research on real-time location-aware computing and context-aware computing becomes important in the development of mobile multimedia systems. Moreover, new networking and computing technologies, such as social networks, software-defined networks, edge and fog computing, and content-centric networking are expected to have great impacts on the design of mobile multimedia systems. For example, to reduce latency for AR/VR applications, software on edge computing servers can provide local object tracking and local AR/VR content caching. In addition, trust and privacy issues are very important concerns to users as malicious applications could deceive users by taking advantage of interactivity and providing false content. This Special Section in IEEE Access focuses on various theoretical and experimental views on the methodology and applications of mobile multimedia.

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

  • Architecture, algorithms, and applications of next-generation mobile multimedia systems
  • Metrics and evaluation of mobile multimedia quality
  • 3D mobile multimedia
  • Mobile interactive multimedia and AR/VR
  • Mobile multimedia networking, streaming, and computing
  • Mobile multimedia for internet of things (IoT)
  • Mobile multimedia for human-centered cyber-physical systems (CPS)
  • Standardization and prototypes
  • Security and privacy
  • Mobile multimedia data analytics
  • Artificial intelligence for mobile multimedia

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

 

Associate Editor:  Honggang Wang, University of Massachusetts Dartmouth, USA

Guest Editors:

  1. Dalei Wu, University of Tennessee at Chattanooga, USA
  2. Qing Yang, University of North Texas, USA
  3. Dapeng Wu, Chongqing University of Posts and Telecommunications, China
  4. Danda B. Rawat, Howard University, USA
  5. Enzo Mingozzi, University of Pisa, Italy

 

Relevant IEEE Access Special Sections:

  1. Recent Advances on Video Coding and Security
  2. Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things
  3. Sustainable Infrastructures, Protocols, and Research Challenges for Fog Computing


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: dalei-wu@utc.edu.

Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs)

Submission Deadline: 30 November 2019

IEEE Access invites manuscript submissions in the area of Communication and Fog/Edge Computing Towards Intelligent Connected Vehicles (ICVs).

With rapid economic development, the number of vehicles on the road has grown dramatically, which introduces an array of traffic-related issues, such as traffic congestion and driving safety. Intelligent connected vehicles (ICVs) can provide a safer and greener transportation system, which has been envisioned as an effective measure to resolve traffic problems. ICVs are expected to run many emerging smart applications (e.g., autonomous driving, safety early warning, natural language processing, etc.) to assist both the drivers and passengers in vehicular environments. These kinds of applications typically require significant computing power to perform computation-intensive and latency-sensitive tasks generated by the vehicle sensors for low-latency response. However, the limited computation capacity of the on-board computer makes it difficult to satisfy the computation requirements of quality-of-experience (QoE)-demanding applications. To tackle this challenge, fog/edge computing are proposed as innovative computing paradigms to extend computing capacity to the network edge in order to meet the requirements. Fog/edge computing is expected to not only maximize the computation capability and alleviate the greenhouse effect, but also achieve sustainable operation by pushing rich computing and storage resources to the edge of the network.

The limited computation capacity of the on-board computer brings about an unprecedented challenge for the future development of ICVs. Fog/edge computing provides cloud computing capacity in close proximity to vehicles. Vehicles can migrate the computing to the edge of the network via vehicle to everything (V2X) communication. Processing can be completed at road-side unit (RSU) at the side of the network. The advancement of communication technologies and edge computing, such as Fifth-generation (5G), Software Defined Networking (SDN), Network Function Virtualization (NFV), mobile edge/fog computing and so on, makes it possible to enhance computational capabilities, ensure near-real-time responses and realize communication requirements with ultra-low latency and ultra-high reliability. The Special Section in IEEE Access aims to provide the latest research findings and solutions, in terms of communication and edge computing for ICVs.

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

  • New architecture and framework establishment based on fog/edge computing for ICVs
  • Advanced vehicular networks technologies, such as 5G vehicular networks, LTE-V and so on
  • Ultra-reliable and low-latency communications for ICVs
  • Resource allocation and management based on fog/edge computing for ICVs
  • Machine learning, deep learning for intelligent management and control
  • Joint analysis of communication and computing to improve performance in vehicular networks
  • Cross-layer optimization for fog/edge computing
  • Mobility modeling and management for ICVs
  • SDN and NFV technologies for vehicular networks
  • Security and privacy challenges

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

 

Associate Editor:  Lei Shu, Nanjing Agricultural University, China / University of Lincoln, UK

Guest Editors:

  1. Junhui Zhao, East China Jiaotong University, China / Beijing Jiaotong University, China
  2. Yi Gong, Southern University of Science and Technology, China
  3. Changqing Luo, Virginia Commonwealth University, USA
  4. Tim Gordon, University of Lincoln, UK

 

Relevant IEEE Access Special Sections:

  1. Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources
  2. D2D communications: Security Issues and Resource Allocation
  3. Smart caching, communications, computing and cybersecurity for Information-Centric Internet of Things


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: lei-shu@outlook.com.

Secure Communication for the Next Generation 5G and IoT Networks

Submission Deadline: 31 January 2020

IEEE Access invites manuscript submissions in the area of Secure Communication for the Next Generation 5G and IoT Networks.

New forms of technology continue to permeate modern day society, and can have significant impacts on business, government and personal interactions. Two such technologies are next generation 5G and Internet of Things (IoT) networks. While 5G promises to deliver significant increases in speed, connectivity and capacity, the IoT extends the traditional thinking of a device to encompass a range of new connected things (from the physical through to the cyber-physical). Together these technologies are predicted to offer substantial advances in communications. As these technologies grow in prominence however, their security becomes even more crucial. This security needs to consider and accommodate the unique features of these new platforms, and build security in as a standard. Areas of importance include secure communications, risk assessment and management in IoT and 5G, balancing security and quality of service, and other security needs.

With this motivation, this Special Section in IEEE Access solicits the submissions of high-quality and unpublished articles that aim to address the open technical problems and challenges concerning secure communications, taking into account the unique nature of 5G and IoT systems and networks. In particular, we seek submissions that target this and related problems, with a focus on current and future developments. Both theoretical and experimental studies for secure communication scenarios are encouraged. Additionally, high-quality review and survey papers are also welcome.

While 5G Wireless Technologies and the Internet of Things are regular topics in IEEE Access Sections, this proposal aims to combine these two topics and consider them within the context of secure communications.

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

  • Secure communications in 5G and IoT networks
  • Authentication and key exchange protocols in 5G and IoT networks
  • Formal security analysis on security protocols for 5G and IoT networks
  • Developing secure communication systems or environments
  • Security risk management and assessment in 5G and IoT networks
  • Usability and human factor issues and studies with 5G and IoT networks
  • Privacy and trust in 5G and IoT networks
  • Infrastructure for secure communications
  • Balancing security and quality services in 5G and IoT networks
  • Emerging security issues in 5G and IoT 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:   Ilsun You, Soonchunhyang University, South Korea

Guest Editors:

  1. Jason R.C. Nurse, University of Kent, UK
  2. Isaac Woungang, Ryerson University, Canada
  3. Antonio F. Skarmeta, University of Murcia, Spain

Relevant IEEE Access Special Sections:

  1. Roadmap to 5G: Rising to the Challenge
  2. Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things
  3. Security, Privacy, and Trust Management in Smart Cities


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

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

For inquiries regarding this Special Section, please contact: ilsunu@gmail.com.