Internet of Space: Networking Architectures and Protocols to Support Space-Based Internet Services
Submission Deadline: 31 January 2022
IEEE Access invites manuscript submissions in the area of Internet of Space: Networking Architectures and Protocols to Support Space-Based Internet Services.
This Special Section is focused on the most recent scientific research and insights on the evolution of communication architectures and protocols for an Internet of Space, able to boost the creation of a truly global Internet by means of the integration of the current Internet with a new Internet of Space. Such evolution is expected to have a significant impact on several markets such as IoT/Industrial IoT, Mobile services, Industry 4.0, Government enterprise, and Connected mobility.
The section shall cover work focused on aspects such as how to support the operation of Tier-1, Tier-2 or even Tier-3 airborne/spaceborne networks; how to address interoperability, within and across different protocol layers in the network architecture, leveraging cross-layer design; and finally how to design a more unified next generation Internet architecture able to transparently include spaceborne and airborne platforms in a way that allows for user-centric services, and a smooth operation of transient networks.
However, an original and competent Internet of Space, calls for the definition of a networking framework able to accommodate specific properties of dynamic systems, including heterogeneous physical layers, frequent changes in network topology, high propagation delays, and intermittent connectivity. The dominant success factor for such a networking framework is low-cost bandwidth, although its capability to support low latency and high-throughput services plays an important role.
Secondly, a global Internet is only possible with a transparent integration of an Internet of Space with the current Internet, while supporting multi-tenants, multi-systems in different orbits and altitudes, as well as multiple markets. Such an integration requires rethinking the Internet architecture in order to extend its operation to all systems above the Earth’s surface, which requires the integration of heterogeneous communication devices and protocols. Such a unifying networking framework will have a truly global reach, allowing the connection between information producers and consumers in any corner of Earth and Space. Last but not least, the seamless integration of an Internet of Space with the current Internet will lead to a global empowerment, providing information access to everyone who may need it to sustain enriched human life, while mitigating some of the major limitations of a network infrastructure that is built on Earth’s surface, which is subjected not only to geographic limits but also to political limits.
From a technical perspective this Special Section is focused on the design and performance evaluation of networking architectures and protocols for the Internet of Space, as well as on a more unified design that best deals with the networking challenges to be faced.
The topics of interest include, but are not limited to:
- Network architectures, able to support multi-tenants, multi-systems in different orbits and altitudes, as well as multiple markets, while being transparently integrated in the current Internet architecture. Such new, unifying, network architecture may require the exploitation of paradigms such as Delay Tolerant Networking (DTN), and Information Centric Networking (ICN).
- Network virtualization, leveraging well-known technologies such as Software Defined Networking (SDN) and Network Function Virtualization (NFV), as well as their integration with the emerging concept of Multi-Access Edge Computing (MEC), allowing the virtualization of networking, storage and computing fabrics at the edge, required for the offloading of tasks that have latency constraints from the core to the edge.
- Decentralized Internet Infrastructure, allowing a scalable Internetworking between computing processes and service hosted at the network edge (including flying platforms and spaceborne platforms, such as smart satellite constellations), leading to an end-to-end latency reduction due to user proximity, as well as a reduction of network traffic through traffic localization and device-to-device communications.
- Network management, such as support for the global orchestration of network functions on board spaceborne platforms (e.g., satellites) to best support data processing and aggregation; seamless interoperation of mobile Edge infrastructure and devices; resilience and seamless adaptation based on the capability to anticipate the behavior of services on a global scale.
- Cognitive networking, in which programmable spaceborne networks allow networked devices to perform customized computation, including the usage of Artificial Intelligence. Such cognitive functions will be exploited to develop more intelligent, adaptive networks, able to perceive network conditions, decide upon those conditions, and learn from the consequences of its actions.
- Networking protocols, including support for inter-satellite communications, and satellite to ground communications, Quality of Service (QoS) and Quality of Experience (QoE), integrated security, and mobility, and their integration with existing protocols such as IP routing (e.g. segment routing), transport protocols from the Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) to Quick UDP Internet Connections (QUIC), and application protocols such as Domain Name Service (DNS).
- Wireless technologies, including not only the usage of radio frequency systems but also free space optical systems, and a combination of both.
- Network measurement & performance, to assist in understanding and exposing the performance of spaceborne networking resources, infrastructure, and available communication protocols in a variety of ground-to-space, inter-satellite communication scenarios.
- Privacy, security and trustworthiness, assuming end-to-end scenarios involving satellites with computational and storage capabilities, and covering aspects such as data security, decentralized trust architectures.
- Impact on Internet services, such as advanced IoT services (e.g., Augmented Reality/Virtual Reality in manufacturing or farming) served by spaceborne platforms and spaceborne communications; real-time IoT applications (e.g., critical monitoring of public infrastructures); awareness services (e.g., public safety services).
- Impact on data management aspects, including the support of the next generation of Edge computing in space, as well as a fast cooperation between a large set of Edge-based producers of data.
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Associate Editor: Rute C. Sofia, fortiss GmbH, Germany
Guest Editors:
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- Paulo Mendes, Airbus, Germany
- Vassilis Tsaoussidis, Democritus University of Thrace, Greece
- Tomaso de Cola, DLR, Germany
- Scott Burleigh, California Institute of Technology, USA
- Mianxiong Dong, Muroran Institute of Technology, Japan
- Eduardo Cerqueira, University Federal of Pará, Brazil
Relevant IEEE Access Special Sections:
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: sofia@fortiss.org.
Communications in Harsh Environments
Submission Deadline: 31 December 2020
IEEE Access invites manuscript submissions in the area of Communications in Harsh Environments.
Communication systems deployed in harsh environments, such as a high-speed train, subway, desert, trench, forest, or underground mining, should be specially constructed to withstand extreme conditions such as high or low temperatures, corrosive humidity, extreme weather or excessive dust and dirt. Such applications require specially designed wireless communication, fiber-optic communications, satellite communication, or signal processing techniques that can perform under extreme conditions and meet the QoS, security, and reliability requirement.
Quite often, communications in harsh environments have extremely low signal-to-noise ratio (SNR), high doppler shift, and long latency, and often consumes more power and energy. Bandwidth limitation in harsh environment requires spectrum efficient communications. The current state of art technologies such as massive MIMO, advanced modulation and channel coding, artificial intelligence, and signal processing provide different venues to explore this challenging area. The goal of the Special Section is to publish the most recent (unclassified) results of communications in harsh environments. Review articles on this topic are also welcome.
The topics of interest include, but are not limited to:
- Wireless channel modeling for communications in harsh environments
- Signal processing techniques for communications in harsh environments
- Massive MIMO for communications in harsh environments
- Space-time coding for communications in harsh environments
- Information theory foundation for communications in harsh environments
- Fiber-optic communications in harsh environments
- Satellite communications in harsh environments
- Ultra-wide band communications in harsh environments
- Spectrum efficiency for communications in harsh environments
- Energy efficiency for communications in harsh environments
- New modulation for communications in harsh environments
- New multiple access techniques for communications in harsh environments
- Channel coding for communications in harsh environments
- Artificial intelligence for communications in harsh environments
- Sensor communications in harsh environments
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.
Associate Editor: Qilian Liang, University of Texas at Arlington, USA
Guest Editors:
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- Tariq S. Durrani, University of Strathclyde, UK
- Xin Wang, Qualcomm Inc, USA
- Wei Wang, Tianjin Normal University, China
- Jinhwan Koh, Gyeongsang National University, Korea
- Qiong Wu, Amazon, USA
Relevant IEEE Access Special Sections:
- Millimeter-Wave Communications: New Research Trends and Challenges
- Artificial Intelligence for Physical-Layer Wireless Communications
- 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: liang@uta.edu.
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:
- Qilian Liang, University of Texas at Arlington, USA
- Jinsong Wu, University of Chile, South America
- Tariq S. Durrani, University of Strathclyde, UK
- Qihui Wu, Nanjing University Aeronautics and Astronautics, China
- Wei Xiang, James Cook University, Australia
- Xin Wang, Qualcomm Inc, USA
Relevant IEEE Access Special Sections:
- Mobile Edge Computing
- Intelligent Systems for the Internet of Things
- 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
Emerging Trends, Issues and Challenges for Array Signal Processing and Its Applications in Smart City
Submission Deadline: 31 December 2019
IEEE Access invites manuscript submissions in the area of Emerging Trends, Issues and Challenges for Array Signal Processing and Its Applications in Smart City.
The array signal processing technique, including what is also known as direction-of-arrival (DOA) estimation, has been widely applied in radar, sonar, wireless communications and other traditional fields. The source detection and localization capability offered by array signal processing also makes it an invaluable tool in smart cities. As an emerging research area, smart city has brought up a unique set of challenges and opportunities for sensor array research. These include low signal-to-noise ratio (SNR), limited number of measurements, high interference from a multitude of sources, and the need for energy efficiency.
Traditionally, the challenge of sensor array signal processing arises from the fact that the observed snapshots are nonlinear functions of the directions of interest. The performance of traditional DOA estimation algorithms, such as multiple signal classification (MUSIC) and estimation of signal parameters via rotational invariance techniques (ESPRIT), may greatly degrade at a low SNR or with a small snapshot number. Recently, sparse representation (SR) based methods have been rapidly developed in order to deal with these problems. These methods have many advantages such as flexibility in incorporating different noise types and measurement schemes, high estimation accuracy and spatial resolution, as well as the ability to handle correlated sources. However, the disadvantages are obvious as well, particularly the model mismatch and the grid mismatch issues. As a solution, the gridless method based on atomic norm was developed as an alternative that addresses many of the issues. However, this approach suffers from high computational complexity.
This Special Section in IEEE Access is intended to encourage high-quality research in array signal processing and its applications in smart city. Authors are invited to submit articles presenting new research related to the theory or practice about array signal processing techniques, including algorithms, models, technology and applications. All submissions must describe original research, and not published or currently under review for another workshop, conference, or journal. The topics suggested can be discussed in terms of concepts, the state of the art, implementations, and running experiments or applications.
The topics of interest include, but are not limited to:
- Compressed sensing based methods for DOA estimation
- Low computational complexity gridless methods for DOA estimation
- Application of machine learning for DOA estimation
- DOA estimation for sparse arrays, super-resolution for MIMO radar and DOA and polarization estimation based on SR techniques
- Robust DOA estimation in low SNR or with a small snapshot number
- Array geometry optimization for high accuracy DOA estimation
- Tensor based method for high dimensional parameter estimation
- Performance analysis for different DOA estimation methods
- Convex and nonconvex optimizations related to array signal processing
- Hardware implementation for advanced array signal processing techniques
- New technologies and research trends for array signal processing
- Array signal processing in emergency medical system
- Array signal processing for fault detection
- Other emerging research field of smart city exploiting array signal processing techniques
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Liangtian Wan, Dalian University of Technology, China
Guest Editors:
- Xianpeng Wang, Hainan University, Hainan, China
- Gongguo Tang, Colorado School of Mines, USA
- Wei Liu, University of Sheffield, UK
- Guoan Bi, Nanyang Technological University, Singapore
Relevant IEEE Access Special Sections:
- Green Signal Processing for Wireless Communications and Networking
- Underwater Wireless Communications and Networking
- GNSS, Localization, and Navigation Technologies
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: wan.liangtian.2015@ieee.org
Mission Critical Sensors and Sensor Networks (MC-SSN)
Submission Deadline: 30 October 2019
IEEE Access invites manuscript submissions in the area of Mission Critical Sensors and Sensor Networks (MC-SSN).
MC-SSN have been applied to missions such as battlefield, border patrol, search and rescue, critical structure monitoring and surveillance, etc. To support critical missions, sensors and sensor networks will need to be flexible and interactive, and still work despite limited bandwidth, intermittent connectivity and with a large number of devices on the network. Sometimes, humans will be the elements within mission critical sensors and sensor networks that are most vulnerable to deception, and humans will be handicapped when they are concerned that information they are receiving via the network is untrustworthy, even if that concern is misplaced. For example, the military can take all kinds of measures to counterattack cyberattacks on sensor networks, including injecting fake code meant to attract and catch intruders, using disposable connected devices, large-scale physical fingerprinting and ongoing physical and information probing of networks. The military will also need to look at the “psychosocial behaviors” of attackers and see if they can discern patterns of behavior.
In MC-SSN, the advantages of linking multiple electronic support measures and electronic attack assets to achieve improved capabilities across a networked mission-critical force have yet to be quantified. Algorithms are sought for fused, and/or, coherent cross-platform Radio Frequency (RF) sensing. The MC-SSN algorithms should be capable of utilizing RF returns from multiple aspects in time-coordinated sensors and sensor networks. Such adaptation, management and re-organization of information sources, devices, and networks must be accomplished almost entirely autonomously, in order to avoid imposing additional burdens on humans, and without much reliance on support and maintenance services. Moreover, humans, under extreme cognitive and physical stress, will be strongly challenged by the massive complexity of the MC-SSN and the information it will produce and carry. Advances in technologies that capitalize on the benefits of the MC-SSN will have to assist humans in making useful sense of this massive, complex, confusing, and potentially deceptive ocean of information, while taking into account the ever-changing mission. New approaches and low-complexity algorithms are expected to enable MC-SSN to automatically manage and effect risk and uncertainty in a highly deceptive, mixed cooperative/adversarial, information-centric environment. All of these challenges demand new theories of (and methods for) sensor design, networking, sensing, information management, and decision support analytics. The goal of the Special Section in IEEE Access is to publish the most recent (unclassified) results in MC-SSN.
The topics of interest include, but are not limited to:
- Overcoming Bandwidth limitation in MC-SSN
- Intermittent connectivity modeling in MC-SSN
- Massive devices management in MC-SSN
- Cybersecurity in MC-SSN
- Density and deployment of the MC-SSN
- Heterogeneous modality selection in MC-SSN
- Information fusion in MC-SSN
- Capacity of MC-SSN
- Reliable communications in MC-SSN
- Target detection in MC-SSN
- Dynamic resource allocation in MC-SSN
- Adapt MC-SSN local and distributed processing
- Waveform design and adaptation in MC-SSN
- Decision making with uncertainties in MC-SSN
- Human in the loop for MC-SSN
- Machine learning for MC-SSN
- Situation understanding based on MC-SSN
- Threat assessment based on MC-SSN
- New and nontraditional sensors in MC-SSN
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Qilian Liang, University of Texas at Arlington, USA
Guest Editors:
- Tariq S. Durrani, University of Strathclyde, UK
- Jing Liang, University of Electronic Science and Technology, China
- Jinhwan Koh, Gyeongsang National University, Korea
- Yonghui Li, University of Sydney, Australia
- Xin Wang, Qualcomm Inc, USA
Relevant IEEE Access Special Sections:
- Convergence of Sensor Networks, Cloud Computing, and Big Data in Industrial Internet of Things
- Networks of Unmanned Aerial Vehicles: Wireless Communications, Applications, Control and Modelling
- Underwater 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: liang@uta.edu
Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems
Submission Deadline: 20 February 2018
IEEE Access invites manuscript submissions in the area of Recent Advances in Fault Diagnosis and Fault-Tolerant Control of Aerospace Engineering Systems.
With the rapid development of automation technologies, aerospace engineering systems including aircraft, satellite, and spacecraft, have become increasingly susceptible to system/component malfunctions. Failure to take appropriate responses to even relatively minor defects can result in highly destructive events. A conventional feedback control design may result in unsatisfactory performance or even instability in the event of a malfunction. Therefore, fault diagnosis (FD) and fault-tolerant control (FTC) technologies that can ensure the safety of handicapped systems have attracted significant interest. FTC design and relevant techniques provide a flexible framework for dealing with these challenges since the 1970s. The progress since the 1970s includes symposiums, seminars and a vast number of publications on the subject. The research illustrate that FD and FTC are effective and applicable in industry, especially for aerospace engineering systems.
The primary objective of this Special Section in IEEE Access is to provide a forum for academic and industrial communities to report recent theoretical and application based results in healthy monitoring, diagnosis, and fault-tolerant design. Researchers can exchange their latest ideas about the emerging research direction in this field. This Special Section would be of interest to readers to learn about trending and pioneering activities over the field of fault diagnosis and fault-tolerant control. The focus will be on advanced FD and FTC design methods for aerospace engineering systems (AESs) presenting considerable novelties in theoretical background or practical design. The solicited articles should provide original ideas and new approaches, with a clear indication of the advances made in problem formulation, methodology, or application with respect to existing results.
The topics of interest include, but are not limited to:
- Fault detection and diagnosis for AESs
- Sensors and measurements for AESs
- Fault-tolerant control/reliable control
- Remaining life assessment and health management
- Experimental and analytical investigations on fatigue and fracture of system components
- Self-healing, self-organizing, self-adaptive, automatic recovery
- Optimization theory for fault-tolerant control design for AESs
- Integration design of fault diagnosis and fault-tolerant control
- Novel control, guidance, and navigation methodologies
- Innovative control algorithms (such as robust control, adaptive control, and intelligent control)
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Hamid Reza Karimi, Politecnico di Milano, Italy
Guest Editors:
- Bing Xiao, Bohai University, China
- Xiang Yu, Concordia University, Canada
- Qingbin Gao, California State University, USA
Relevant IEEE Access Special Sections:
- Advanced Control and Health Management for Aircraft and its Propulsion System
- Complex System Health Management Based on Condition Monitoring and Test Data
- Advanced Signal Processing Methods in Medical Imaging
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: hamidreza.karimi@polimi.it
New Waveform Design and Air-Interface for Future Heterogeneous Network towards 5G
Submission Deadline: 30 October 2019
IEEE Access invites manuscript submissions in the area of New Waveform Design and Air-Interface for Future Heterogeneous Network towards 5G.
Unprecedented levels of spectral and energy efficiency are expected from next generation wireless networks to achieve ubiquitous communications between anybody, anything, and at any time. Fifth generation (5G) radio access technology is expected to take a huge leap compared to the previous radio generations by supporting cognitive radio, machine type communication, the internet of things, besides traditional mobile broadband access.
The necessity of supporting the new services targeted by 5G has brought researchers to question the suitability of the orthogonal frequency-division multiplexing (OFDM) waveform as adopted in Long Term Evolution (LTE). However, the demerits of OFDM are recognized to be its large out-of –band emissions, which affect the coexistence of asynchronous services or devices, as well as its sensitivity to phase noise, Doppler frequency shift and large peak-to-average power ratio (PAPR).
Significant research effort is currently spent on the design and analysis of alternative solutions aimed at overcoming the inefficiencies of present waveforms. Candidate multicarrier solutions rely on different degrees of filtering for obtaining lower side lobes than OFDM, thus improving robustness to asynchronous transmission. For example, in filter bank multicarrier (FBMC) approaches, universal filter multicarrier (UFMC), Generalized frequency-division multiplexing (GFDM). Even though the mentioned solutions offer undeniable advantages in terms of spectrum containment, their suitability as 5G waveforms when considering complexity constraints as well as realistic impairments is still disputable. In particular, the extension to multiple-input multiple-output (MIMO) antenna transmission with multiple streams seems rather cumbersome. Thus this will lay down and interdisciplinary research agenda that combines energy and time efficient spectrum schemes into waveform design.
The goal of this Special Section in IEEE Access is to publish the most recent results in new waveform design and air-interface for future heterogeneous network towards 5G. Review articles on this topic are also welcome. The topics of interest include, but are not limited to:
- Waveform design of Heterogeneous network convergence
- Access techniques of future heterogeneous network
- Spectrum sharing and resource allocation for new scheme
- Air-interface for integrated satellite and terrestrial network
- Green communication in heterogeneous network
- Routing protocol for cognitive radio based heterogeneous space-ground integrated information network towards 5G
- Interference avoidance and capacity analysis
- Power control and resource allocation for data transmission towards 5G
- Spectrum coexistence management for cognitive radio
- Non orthogonal access with non-orthogonal transmission scheme
- Compressive spectrum sensing for multiple frequency bands
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Qilian Liang, University of Texas at Arlington, USA
Guest Editors:
- Tariq S. Durrani, University of Strathclyde, UK
- Xuemai Gu, Harbin Institute of Technology, China
- Xin Wang, Qualcomm Inc, USA
- Yonghui Li, University of Sydney, Australia
- Wei Xiang, James Cook University, Australia
Relevant IEEE Access Special Sections:
- Mission Critical Public-Safety Communications: Architectures, Enabling Technologies, and Future Applications
- Index Modulation Techniques for Next-Generation Wireless Networks
- Communication, Control and Computation Issues in Heterogeneous Vehicular 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: liang@uta.edu
Networks of Unmanned Aerial Vehicles: Wireless Communications, Applications, Control and Modelling
Submission Deadline: 31 January 2018
IEEE Access invites manuscript submissions in the area of Networks of Unmanned Aerial Vehicles: Wireless Communications, Applications, Control and Modelling.
In recent years, we have seen an impressive growth in the use of Unmanned Aerial Vehicles (UAV, also commonly referred as drones) for a wide range of applications, spanning from military to commercial domains. Several successful applications of drones already available in the market include surveillance, reconnaissance, remote sensing, search and rescue, aerial photography, crop surveys, on-demand emergency communications, traffic control, monitoring natural resources like oil or gas exploration etc. Given the unprecedented speed of these developments, there is an urgent need of providing reliable and efficient high speed communication links not only between flying drones and their controlling sources, consumers, entities, but also among the drone themselves. Drone communications paves the way towards significant opportunities but is also challenging.
The scope of this Special Section in IEEE Access is to address the potential research areas in Automatic Control, Avionics, Physical Layer and Cellular Communication that are or will be revolutionized using drones. It also targets the possible academic and industrial challenges and the opportunities that will arise due to widespread use of drones. For this Special Section, we seek prospective authors to submit their high-quality original and unpublished contributions, surveys and case studies on the following topics:
- 5G communication for UAV
- Monitoring of critical infrastructures
- Mobile internet of things
- Ad-hoc networking, routing and handover (Self Organizing Networks)
- Channel modeling for air-to-ground and air-to-air communication
- Physical layer design for drone based communication
- Channel reliability for drone based communication
- Power consumption and energy harvesting models
- Models and algorithms for control of UAV networks
- Position estimation and prediction
- Bio-inspired optimization approach for UAV networks
- Information and communication reliability
- QoS Control
- Test bed results for UAV communication and control
- Software-defined-radio design
- Simulation and emulation for UAV environment
- Sensor Fusion for UAV networks
- Ultra low latency control protocols
- Mobility impacts at different flying altitudes
- Sense and avoid, UAV traffic management
- D2D and Cognitive Communications
- Regulatory Issues
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Giacomo Verticale, Politecnico di Milano, Italy
Guest Editors:
- Lorenzo Galati Giordano, Nokia Bell Labs, Ireland
- Ali Karimoddini, North Carolina A&T State University, USA
- Maurizio Magarini, Politecnico di Milano, Italy
- Gerard Parr, University of East Anglia- Norwich, UK
- Mani Shankar Prasad, Amity University, India
- Yan Wan, University of Texas at Arlington, USA
Relevant IEEE Access Special Sections:
- Mission Critical Public-Safety Communications: Architectures, Enabling Technologies, and Future Applications
- Recent Advances on Radio Access and Security Methods in 5G Networks
- 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: giacomo.verticale@polimi.it
Advanced Control and Health Management for Aircraft and its Propulsion System
Submission Deadline: 30 August 2018
IEEE Access invites manuscript submissions in the area of Advanced Control and Health Management for Aircraft and its Propulsion System.
With the increased emphasis on aircraft safety, enhanced performance, reliability, affordability and operating life, advanced control and health management of aircraft and its propulsion system become more critical. Both aircraft control systems and propulsion control systems play an important role in enlarging the flight envelope and providing enhanced maneuvering capabilities. Moreover, integrated aircraft/propulsion control systems have been verified effective to further enhance aircraft performance with minimum pilot workload. The key enabling technologies are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent control to enhance operational reliability and component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. In order to catch up with the developments and requirements of aircraft, it is of great significance to investigate intelligent aircraft and propulsion control with advanced health management systems.
The primary objective of this Special Section in IEEE Access is to provide up-to-date discussions on technical trends and advanced methodologies in controls and health management of aircraft and its propulsion systems. Of particular interest, the papers in this Special Section should be devoted to the development of intelligent control technology used in aircraft and propulsion systems, fault diagnostics and prognostics, fault tolerant control, decentralized/distributed state estimation, and integrated aircraft/propulsion strategies. The contributions to this Special Section are expected to provide the latest results in advanced analysis, optimization, control and fault diagnostics and prognostics for aircraft and its propulsion systems. Topics to be covered in this special issue include, but are not limited to:
- Control Theory, Analysis, and Design for Aircraft and Propulsion Systems
- Modeling and Simulation for Aircraft and Propulsion Systems
- Fault Diagnostics and Prognostics for Aircraft and Propulsion Systems
- Fault Tolerance and Recovery Control Design for Aircraft and Propulsion Systems
- State Estimation and Health Management for Aircraft and Propulsion Systems
- Distributed Control and Intelligent sensors for Aircraft and Propulsion Systems
- Aircraft/Propulsion Control Analysis and Test Evaluation
- Technology for Construction of the Aircraft Propulsion System Test Platforms
- Hydraulic Mechanical Actuators for Aircraft and Propulsion Systems
- Active Control of Components and Life-extending Control Design
- Integrated Flight/Propulsion Control Strategies
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles.
Associate Editor: Xudong Zhao, Dalian University of Technology, China
Guest Editors:
- Ximing Sun, Dalian University of Technology, China
- Hanz Richter, Cleveland State University, USA
- Shui-Ting Ding, Beijing University of Aeronautics and Astronautics, China
- Rogelio Lozano, Jules Verne University in Amiens, France
- Zhongzhi Hu, Nanjing University of Aeronautics and Astronautics, China
Related IEEE Access Special Sections:
- Complex System Health Management Based on Condition Monitoring and Test Data
- Recent Advances on Modelling, Optimization and Signal Processing Methods in Vehicle Dynamics and Crash-worthiness
- Communication, Control and Computation Issues in Heterogeneous Vehicular Networks
IEEE Access Editor-in-Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
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For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, specialsections@ieee.org)
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