Sustainable Infrastructures, Protocols, and Research Challenges for Fog Computing

Submission Deadline: 15 April 2019

IEEE Access invites manuscript submissions in the area of Sustainable Infrastructures, Protocols, and Research Challenges for Fog Computing.

Cloud computing continues to provide services related to storage and computation by managing a pool of high-cost resources. On the other hand, due to the distribution of applications and services closer to the end-users, academics and industry experts are now advocating for going from large-centralized cloud computing infrastructures to a range of computing nodes located at the edge of the network. Basically, fog computing extends the services and resources of the cloud closer to users, which facilitates the leveraging of available services and resources in the edge networks. Fog computing with the features (e.g., low latency, location awareness, and capacity of processing large number of nodes with wireless access) to support heterogeneity and real-time applications, is an attractive solution to delay- and resource-constrained large-scale wireless applications.

The concept of separating the network slices requires a number of technologies to be in place. Software-Defined Networking (SDN), Network Function Virtualization (NFV), fog, and cloud technologies enable networks to be broken out from their underlying physical infrastructures so that they can programmatically provide connectivity as a service. Devices, which will vary greatly in nature, will need to use connectivity in a smart way, with minimal signaling, maximized sleep cycles and lean data transmission – sending only the information needed for the given service. Networks will need to be able to simultaneously support several Radio Access Technologies (RATs) and the radio environment will need to support service flexibility, all while maintaining control over costs and energy consumption. Furthermore, the benefit of SDN lies in its ability to provide an abstraction of the physical network infrastructure.

However, with the benefits of fog computing, there are many research challenges. For example, how to handle different protocols and data format from highly dissimilar data sources in fog layer? How to determine which data should be processed in cloud or be processed in fog layer while designing computation offloading strategies? Moreover, the privacy and security mechanisms within fog servers are also key design considerations. Developing sustainable infrastructures and protocols are major research challenges for fog computing. This Special Section in IEEE Access welcomes researchers from industry and academia to discuss these issues.

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

  • Architecture for fog computing
  • General performance models of fog computing
  • Content and service distribution models for fog computing
  • Caching, replication and relaying models for fog computing
  • Theoretical and experimental evaluation of information-centric networks for fog computing
  • Fog and mobile edge computing security and related considerations
  • Resource allocation aspects of fog computing
  • Real-time communication interfaces and protocols
  • Fog-enabled data services
  • Fog computing as an enabler for Augmented and Virtual Reality applications
  • Cyber-Physical systems realized through fog computing
  • Dependable fog computing
  • Fog computing as an enabler for 5G
  • 5G Quality-of-Service (QoS) improvements techniques using SDN, NFV, and Mobile Edge Computing (MEC)
  • Future challenges and open issues in fog computing

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Associate Editor:  Mithun Mukherjee, Guangdong University of Petrochemical Technology, China


Guest Editors:

  1. Maria Gorlatova, Duke University, USA
  2. James Gross, KTH Royal Institute of Technology, Sweden
  3. Mohammad Aazam, Carnegie Mellon University

 

Relevant IEEE Access Special Sections:

  1. Fog Radio Access Networks (F-RANs) for 5G: Recent Advances and Future Trends
  2. Smart Caching, Communications, Computing and Cybersecurity for Information-Centric Internet of Things
  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: mithun.mukherjee@outlook.com

 

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).

 

Emerging Technologies for Device to Device Communications

Submission Deadline: 30 September 2018

IEEE Access invites manuscript submissions in the area of Emerging Technologies for Device to Device Communications.

Mobile Internet, especially mobile multimedia service, has become very popular in recent years. To support mobile multimedia applications, however, network capacity has to be dramatically enhanced. As an emerging technology, Device to Device (D2D) communications, have been considered to improve the network capacity as well as reduce the traffic on base stations by offloading traffic to be delivered among mobile devices directly or in a multi-hop manner. As a result, many types of real-time services, such as mobile multimedia services, can be well supported by the new mobile network technology.

There are still many open research issues in building up a mobile network with D2D communications. For example, the mechanisms for radio resource allocation and interference management are still in their infancy. Many researchers are working on developing testbeds and/or standardizing D2D communications. Moreover, new applications are emerging, and these applications should be well supported by D2D communications. Furthermore, new technologies, such as social networks and software-defined networks, are expected to have great impacts on the design of the network architecture, supporting D2D communications. In addition, trust and privacy issues are very important concerns to users as they affect users’ willingness to use D2D communications. Researchers have been making great efforts to solve these problems and readers of IEEE Access have keen interest in the research progress in this area.

The goal of this Special Section In IEEE Access is to report up-to-date contributions in the area of the Emerging Technologies for D2D communications.

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

  • Social-aware D2D communications
  • Software-defined D2D communications
  • Outband D2D Communications
  • Neighbor discovery for D2D communications
  • Mode selection for D2D communications
  • Resources scheduling for D2D communications
  • Interference management for D2D communications
  • Power control for D2D communications
  • Privacy preserving for D2D communications
  • Trust management for D2D communications
  • Multimedia transmission for D2D communications
  • New applications for D2D communications
  • Testbed and standardization activities 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: Honggang Wang, University of Massachusetts Dartmouth, USA


Guest Editors:

  1. Qing Yang, University of North Texas, USA
  2. Dapeng Wu, Chongqing University of Posts and Telecommunications, China
  3. Joel Rodrigues, National Institute of Telecommunications (Inatel), Brazil; Instituto de Telecomunicações, Portugal
  4. Shaoen Wu, Ball State University, USA


Relevant IEEE Access Special Sections:

 

  1. Recent Advances on Radio Access and Security Methods in 5G Networks
  2. Advances in Interference Mitigation Techniques for Device-to-Device Communications
  3. Mobile Edge Computing


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:  hwang1@umassd.edu

 

Molecular Communication Networks

Submission Deadline: 30 November 2018

IEEE Access invites manuscript submissions in the area of Molecular Communication Networks.

With an improved ability to manipulate matter at the nano and micro scales via synthetic biological and chemical techniques, there are now opportunities to address challenges ranging from disease diagnosis and treatment to environmental protection. A key framework to develop these tools is nano networking, where networks are built from nanoscale devices that are able to operate in nano to micrometer scale environments, and perform simple tasks such as sensing and actuation. However, the effectiveness of nano networking strongly depends on the ability for devices to coordinate.

Molecular communication has been proposed as a means of coordination in nano networks, where information is exchanged between devices via molecules emitted and absorbed by each device. The basic principles of molecular communication are based on mature aspects of physics, chemistry, biology as well as other areas including pharmacology, microfluidics and medicine. However, there remain a number of challenges in developing signal processing and communication techniques to encode and decode information, as well as develop practical implementations. A particular challenge is how to reliably embed molecular communication systems within existing biochemical systems, which is important for medical applications from the perspective of toxicity and undesirable side effects.

Authors are encouraged to submit articles presenting new research related to theory or practice of all aspects of molecular communications and networks. The topics of interest include, but are not limited to:

  • Theoretical Modeling (e.g., channel modeling, transmitter and receiver device modeling)
  • Architectures, Protocols, Optimal Design (e.g., modulation design, channel parameter estimation, detection, inter-symbol interference mitigation)
  • Transmitter/Receiver Mechanisms & Components
  • Multi-scale and experimental analysis of Molecular Communication Networks
  • Simulation Tools (e.g., tools, models, and approaches for developing simulation packages for Molecular Communication Networks)
  • Interoperability between Molecular Communication Networks and other systems (e.g., Internet of Nano Things, Internet of Bio-Nano Things, Intra-body communication, Body Area Nano-networks)
  • Implementation techniques and for Molecular Communication Networks (e.g., exploiting Nanotechnology and Nanobioscience)
  • Power Sources and Energy efficiency models for Molecular Communication Networks
  • Security in Molecular Communication Networks
  • Potential Applications for Molecular Communication 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: Daniel Benevides da Costa, Federal University of Ceará, Brazil

Guest Editors:

 

  1. Trung Q. Duong, Queen’s University, UK
  2. Chan-Byoung Chae, Yonsei University, South Korea
  3. Andrew Eckford, York University, Canada
  4. Malcolm Egan, INRIA and INSA Lyon, France
  5. Arumugam Nallanathan, Queen Mary University of London, UK
  6. Marco Di Renzo, Paris-Saclay University, France

 

Relevant IEEE Access Special Sections:

  1. Nano-antennas, Nano-transceivers, and Nano-networks / Communications
  2. Physical and Medium Access Control Layer Advances in 5G Wireless Networks
  3. Future Networks: Architectures, Protocols, and Applications

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: danielbcosta@ieee.org

Advances in Channel Coding for 5G and Beyond

Submission Deadline: 31 December 2018

IEEE Access invites manuscript submissions in the area of Advances in Channel Coding for 5G and Beyond.

In 1948, Shannon introduced the concept of channel capacity and proved the existence of error-correction codes (ECCs) that can realize reliable communication at any rate lower than the capacity. In the following 45 years, many researchers have endeavored to search for capacity-approaching ECCs, but obtained slow progress. Following the remarkable success of turbo codes in 1993, low-density parity-check (LDPC) codes were rediscovered. Since then, capacity-approaching ECCs have attracted more and more attention because it can significantly improve the performance of a myriad of communication systems, such as wireless communication systems, deep-space communication systems, optical communication systems, underwater acoustic communication systems, and data storage systems.

Compared with turbo codes, LDPC codes can achieve better performance and faster decoding. As such, LDPC codes have attracted growing interests in both academia and industry. Furthermore, many meritorious variants of LDPC codes, such as protograph LDPC codes and spatially coupled LDPC codes, were developed in the past decade.

In parallel with the advances in LDPC-based codes, some other capacity-approaching coding methodologies were conceived. In particular, as the first constructive codes achieving the capacity, Polar codes outperform LDPC codes in certain cases and represent an emerging class of ECCs for future wireless communications. Meanwhile, another powerful class of ECCs, called rateless codes (e.g., Luby transform (LT) codes and Raptor codes), was also extensively investigated. In practical applications, rateless codes are very suitable for scenarios where the channel state information (CSI) is unavailable at the transmitter terminal.

Recently, LDPC codes have been selected for the Enhanced Mobile Broadband (eMBB) data channels for 5G New Radio, while Polar codes have been chosen for the corresponding control channel. Beyond any doubt, LDPC codes, Polar codes, and their variants will find more deployment in many other applications and will be included in other new standards in the future. Nevertheless, the design of such codes for the next-generation wireless communication systems is still in its infancy. There are a range of open issues waiting to be addressed.

This Special Section in IEEE Access will focus on the theoretical and practical design issues of ECCs for 5G and beyond. Our aim is to bring together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art achievements with others. Both comprehensive surveys and original technical contributions are welcome.

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

  • LDPC codes
  • Polar codes
  • Rateless codes and their variants
  • Development trends and challenges for turbo codes
  • LDPC convolutional codes and spatially-coupled (SC) LDPC codes
  • Protograph codes and their variants
  • Algebraic constructions of low-density graph codes
  • Codes on factor graphs
  • Density evolution (DE) and extrinsic-information-transfer (EXIT) chart techniques
  • Minimum distance or weight distribution analysis for capacity-approaching codes
  • Finite-length analytical methodologies
  • Iterative decoding and turbo-like detection algorithms
  • Low-complexity LDPC/Polar codes and their hardware implementations
  • Channel coded modulations
  • Channel coding for non-orthogonal multiple access (NOMA)
  • Low-density graph codes for source coding
  • Low-density graph codes for compressed sensing (CS)
  • Joint source-and-channel coding (JSCC)
  • Joint channel-and-physical-layer-network coding (JCPNC)
  • Coded random access
  • Applications of ECCs to physical-layer security

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

Associate Editor: Yi Fang, Guangdong University of Technology, China

Guest Editors:

 

  1. Lars Kildehøj Rasmussen, Royal Institute of Technology, Sweden
  2. Yong Liang Guan, Nanyang Technological University, Singapore
  3. Kai Niu, Beijing University of Posts and Telecommunications, China
  4. Francis C. M. Lau, Hong Kong Polytechnic University, Hong Kong
  5. Soon Xin Ng, University of Southampton, UK
  6. Pingping Chen, Fuzhou University, China

 

Relevant IEEE Access Special Sections:

  1. Index Modulation Techniques for Next-Generation Wireless Networks
  2. Non-Orthogonal Multiple Access for 5G Systems
  3. Green Signal Processing for Wireless Communications and Networking


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: fangyi@gdut.edu.cn

Cloud-based Robotic Systems for Intelligent Services

Submission Deadline: 1 July 2018

IEEE Access invites manuscript submissions in the area of Cloud-based Robotic Systems for Intelligent Services.

Recent advances in sensor/actuator as well as artificial intelligence (AI) technologies have made it possible for mobile robots such as autonomous automobiles and autonomous unmanned aerial vehicles to go about performing their tasks in varied environments. With wireless communications, these mobile robots can be connected to each other to exchange information, coordinate their movements, and cooperate to perform more extensive tasks, forming robotic systems. Using wireless communications, such robotic systems can further be connected to cloud computing services via the mobile Internet, which offers the potential to significantly enhance the capabilities of such robotic systems. Thus cloud-based robotic systems offer great promises for intelligent services beyond the capabilities of current robots or robotic systems.

First, robot systems employing advanced AI techniques that leverage multiple layer artificial neural networks for deep learning can enable intelligent services that learn from past experience to plan a course of actions that optimizes some task objectives, e.g., minimizing energy consumption, for the current environmental conditions. However, these machine learning techniques are computation intensive and may not be well supported by individual robotic systems. In contrast, cloud computing services offer virtually unlimited computation resources on-demand in a scalable manner, greatly facilitating the use of advanced AI techniques in robotic systems. Second, widespread deployment of robotic systems employing a large number of sensors results in a massive amount of data being generated over short periods of time. Cloud-based big data analytics can be employed to derive useful information to enhance the utility of cloud-based robotic systems. For example, applying big data analytics to data collected from a large number of cloud-based robotic systems, a manufacturer may be able to determine that a batch of sensors manufactured by this company is defective. Third, it is conceivable that in the future distributed general purpose robotic units connected to the cloud can be dynamically configured and programmed to form logical robotic systems under software control to perform specific services in a virtualized manner, i.e., cloud-based robotic systems can provide software-defined robotic system as a service.

Cloud computing platforms would be crucial to enable a programming environment capable of fast service creation, as well as an operational and management environment to ensure that these intelligent robotic services can operate reliably and be properly managed.

Based on the above observations, we can see that cloud-based robotic systems offer great potential for intelligent services in both the short and longer term, but there are many technical challenges that need to be addressed.

Some of the technical challenges and potential applications of cloud-based robotic systems include but are not limited to:

  1. Cloud-based big data analytics mechanisms;
  2. Cooperative mechanisms to coordinate the information of robotic systems and share updates on detected changes in the environment;
  3. Architectures, programming framework, management and control mechanisms to enable robotic function virtualization;
  4. Robotic edge computing to complement the cloud in satisfying hard real time interaction needs;
  5. Robot-assisted healthcare, especially for shut-in and elderly patients, with monitoring, diagnostic and simple treatment capabilities; by sampling data from sensors for body to the cloud system, using data mining and machine learning techniques;
  6. Smart homes, offices and factories equipped with cloud-based robotic systems for enhanced security, energy efficiency, work throughput, occupant comfort, etc.

The main objective of this Special Section in IEEE Access is to collect multidisciplinary research contributions on technological breakthrough and advancement towards cloud-based robotic systems for intelligent services. Topics explored in this Special Section include, but are not limited, to the following aspects of intelligent services involving cloud-based robotic systems:

  • Cloud computing technologies
  • Cooperative robotic systems
  • Multi-modal robotic cognition
  • Cooperative communications among robots
  • Real-time big data analytics of customers
  • Data mining techniques
  • Cloud architecture and cloud storage
  • Mobile social networks
  • Instance detection and recognition in robotic system
  • Image and scene classification in robotic system
  • Semantic interpretation in robotic system
  • Robot function virtualization
  • Robotic edge 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: Prof. Xiping Hu, Chinese Academy of Sciences, China

Guest Editors:

  1. Victor C.M. Leung, University of British Columbia, Canada
  2. Adnan Al-Anbuky, Auckland University of Technology, New Zealand
  3. Ken Goldberg, University of California, Berkeley, USA
  4. Hesheng Wang, Shanghai Jiao Tong University, China
  5. Fei Wang, Cornell University, USA
  6. Jianwei Zhang, University of Hamburg, German

 

Relevant IEEE Access Special Sections:

  1. Trends and Advances for Ambient Intelligence with Internet of Things Systems
  2. Big Data Analytics in Internet-of-Things and Cyber-Physical System
  3. Industry 4.0


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: xp.hu@siat.ac.cn

Survivability Strategies for Emerging Wireless Networks

Submission Deadline: 15 April 2018

IEEE Access invites manuscript submissions in the area of Survivability Strategies for Emerging Wireless Networks.

Recent developments in mobile and wireless networks have paved the way to become the fabric of society and economy. The ever-increasing penetration rate of mobile telephony and wireless broadband data access, and the ubiquity of WiFi are just a few examples of the phenomenon. While multi-hop wireless networks (e.g., WiMax, LTE-A, ad hoc, sensor and mesh networks) offer many advantages such as enhanced capacity, extended communication range, deployment and operational flexibility, they usually lack provisioning for network robustness. For example, in networks with battery-powered routers, the depletion of battery power may lead to router failures that may interrupt the network information flow and reduce network connectivity. Moreover, the wireless communication medium itself is prone to various types of interference and impairments, hence causing a wireless link status to dynamically change according to the channel conditions, and possibly resulting in wireless links becoming intermittently unavailable. Besides interference and impairments, harsh surrounding environments and severe weather conditions may damage either nodes or antennas if the network is deployed outdoors as in the case of WMNs, WiMax and LTE-Advanced networks. Wireless network devices, such as base stations (BSs), relay nodes (RNs), mesh routers, and antennas, are also subject to failures through accidents, disasters, and component failures, attacks, and possibly vandalism.

These failures may have drastic effects on the users of such networks. For example, in WiMax networks, which are used to provide broadband network access to users, wireless link failures due to impairments or node failures, such as base station (BS) or relay station (RS) failures, or the failure of antennas, can disconnect users from the network. The effects of these failures can be more severe if they affect the connectivity of business users who depend on broadband wireless access to run their businesses. These problems emphasize the need for mechanisms to enhance the network survivability and availability and to sustain the flow of information in the case of failures or attacks. Network failures may cause drastic effects on network performance and hinder network operation. The capability of a network to deliver data successfully in a timely manner and continue its services despite the presence of failures and attacks is referred to as survivability and is an important characteristic which must be provisioned.

The aim of this Special Section in IEEE Access is to collect high quality research articles that articulate recent advancements in this domain, highlight open research issues and challenges, and indicate future directions. This Special Section is expected to report on recent research and spark novel research on the wireless networks design, architecture, algorithms, and protocols for existing and prospective applications. Visionary, work-in-progress, and unpublished original research and survey articles are solicited on survivability, safety, and security aspects of wireless networks.

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

  • Survivability strategies for LTE-A, WiMax, wireless sensor, ad hoc and wireless mesh networks
  • Failure prevention, detection and diagnosis mechanisms
  • Fault tolerant network pre-planning and deployment
  • Fault tolerant resource allocation and scheduling
  • Topology management techniques for tolerating node and link failures
  • Self-Organizing Networks (SONs) and Self-healing mechanisms
  • Movement control coverage and connectivity restoration
  • Reliability and dependability of emerging wireless networks
  • Centralized and distributed monitoring and recovery algorithms
  • Survivability techniques for IoT/M2M
  • Green and energy efficient survivability techniques
  • Localized and globalized failure handling mechanisms
  • Handling single, multi, and simultaneous node and link failures
  • Optimization strategies for agile and efficient recovery
  • Testbeds and experimental studies of survivability strategies
  • Network coding-based survivability
  • Safety, security, privacy, and trust for survivability

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

Associate Editor: Muhammad Imran, King Saud University, Saudi Arabia

Guest Editors:

  1. Joel J.P.C. Rodrigues, National Institute of Telecommunications (Inatel), Brazil; Instituto de Telecomunicações, Portugal
  2. Ahmed E. Kamal, Iowa State University, USA
  3. Ejaz Ahmed, University of Malaya, Malaysia
  4. Feng Xia, Dalian University of Technology, China
  5. Irfan Awan, University of Bradford, UK

Relevant IEEE Access Special Sections:

  1. Software Standards and Their Impact in Reducing Software Failures
  2. Mission Critical Public-Safety Communications: Architectures, Enabling Technologies, and Future Applications

 

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:  dr.m.imran@ieee.org

Multi-Function RF Components for Current and Future 5G Wireless Communications

Submission Deadline: 31 May 2018

IEEE Access invites manuscript submissions in the area of Multi-Function RF Components for Current and Future 5G Wireless Communications.

With the increasing demand of wireless connection, wireless communication including 5G is continuously and rapidly growing. Modern wireless communication systems, such as 5G, bring great challenges on radio frequency (RF) sub-systems, which should support multiple RF chains operating at different frequency bands and for various modes. In the 5G RF sub-systems, massive multi-input multi-output (MIMO) antennas are the key technology for the success of 5G in which there are tens or even hundreds of RF chains. In these cases, a large number of transceivers and other components must co-exist within a limited volume. The power consumption and size of RF components are problematic issues, which play an important role in the overall behavior of wireless systems. To solve this problem, extensive work has been done, focusing on the reduction of power consumption and size of various RF components. Although great advances have recently been made, current techniques are still lacking in successful implementations of compact and low-power RF sub-systems fulfilling the increasing demand. It is therefore urgent to develop new techniques which can support the requirements of multiple RF chains in current and future 5G wireless systems.

Fortunately, the technique of co-designing multiple RF operational functionalities to realize multi-function components has exhibited the potential to achieve compact size and low power consumption. Further progress in this area will be made by studying the theory and techniques of multi-component co-design so that the resulting multi-function RF devices outperform the classic cascades of multiple mono-function components.

The objective of this Special Section in IEEE Access is to identify and discuss technical challenges and recent results related to multi-function RF components for current and future wireless communication system with emphasis on 5G. For this Special Section, we seek prospective authors to submit their high-quality original and unpublished contributions, surveys, and case studies on this research area.

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

 

  • Co-design of antennas and filters
  • Antennas with integrated power combining capability
  • Power amplifiers with integrated filtering responses
  • Filtering power dividers/couplers
  • Filtering matching networks/transformers
  • Filtering phase shifters
  • Filtering with differential-mode operation.
  • Rectennas with integrated design of antenna and rectifier
  • Multi-function reconfigurable filters (simultaneous bandpass, bandstop, all-pass and/or all-reject response)
  • Novel analysis method for multi-function RF components

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

 

Associate Editor: Xiu Yin Zhang, South China University of Technology, China

Guest Editors:

  1. Roberto Gómez-García , University of Alcala, Spain
  2. Guoan Wang, University of South Carolina, USA
  3. Yi Wang, University of Greenwich, UK

 

Relevant IEEE Access Special Sections:

  1. Tunable devices for modern communications: materials, integration, modeling, and applications
  2. Energy Efficient Wireless Communications with Energy Harvesting and Wireless Power Transfer
  3. Recent Advances on Radio Access and Security Methods in 5G Networks


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: zhangxiuyin@hotmail.com

Advances in Interference Mitigation Techniques for Device-to-Device Communications

Submission Deadline: 31 January 2018

IEEE Access invites manuscript submissions in the area of Advances in Interference Mitigation Techniques for Device-to-Device Communications.

Emergence of data intensive applications such as online gaming and video sharing has resulted in an exponential increase in the mobile data traffic. Advances in Internet-of-Things (IoT) and 5G also require fusion of multiple services and wireless devices operating in real-time. Supporting such high data rates, within the framework of existing wireless access networks, is a challenging task. Addressing this ever-increasing demand of data hungry devices in an efficient and effective manner has driven the wireless industry to look into new paradigms. Device-to-Device (D2D) and Machine-to-Machine (M2M) communications are viewed as promising solutions to this complex problem and hence, a key enabling technology for 5G IoT. The D2D communications, with its application specific variants of Vehicle-to-Vehicle (V2V) and Human-to-Human (H2H) communications, is envisioned to operate either in out-band mode, representing use of a dedicated spectrum or in-band mode, representing operation within the same spectrum of the existing cellular spectrum.

Aligned with the mode, the D2D communications provide the closely located users with an opportunity to communicate directly without traversing traffic through the Evolved Node B (eNB) while offering exciting advantages of improved throughput, increased spectrum reuse and enhanced energy gain. Integration of the D2D with legacy systems brings new technical challenges. Interference to the primary users is one of the major challenges that need to be managed and mitigated effectively in order to have an optimal system performance.

This Special Section in IEEE Access invites researchers to contribute articles that seek to address the issue of interference mitigation in D2D communications.

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

  • Interference mitigation – in-band underlay/overlay D2D communications
  • Interference mitigation – out-band network-assisted/autonomous D2D communications
  • Interference mitigation in uplink and downlink LTE-A channels
  • Cross-tier and co-tier interference mitigation
  • Interference mitigation using power control
  • Mitigating interference through efficient radio resource allocation
  • Spectrum splitting for interference mitigation
  • Interference-aware transmission for interference mitigation
  • Interference mitigation through MIMO and beamforming
  • Hybrid mechanisms for interference control
  • Design of multiple antennas for interference cancellation
  • Interference mitigation for D2D in disaster situations
  • Software Defined and Virtualized Ecosystems for interference mitigation

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

 

Associate Editor: Masood Ur Rehman, University of Bedfordshire, UK

Guest Editors:

  1. Yue Gao, Queen Mary University of London, UK
  2. Mohammad Asad Rehman Chaudhary, Soptimizer, Canada
  3. Ghazanfar Ali Safdar, University of Bedfordshire, UK
  4. Yanli Xu, Shanghai Maritime University, China

 

Relevant IEEE Access Special Sections:

  1. Energy Efficient Wireless Communications with Energy Harvesting and Wireless Power Transfer
  2. Recent Advances on Radio Access and Security Methods in 5G Networks
  3. Intelligent Systems for the 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: masood.rehman@ieee.org