VTC2019-Fall in Honolulu, Hawaii: Call for Workshop Papers

VTC2019-Fall Workshops provide invaluable opportunities for researchers and industry practitioners to share their state-of-the-art research and development results on specific areas or challenging topics. VTC attendees will be able to attend a workshop for a nominal additional fee. Registration packages for individual workshops without VTC will also be available.

The full paper version of accepted workshop papers will be published in the VTC2019-Fall conference proceedings and submitted to IEEE Xplore (conditional on presentation by one of the authors at the workshop).

Submission requirements: 5-page full paper

Up to 2 additional pages are allowed with the purchase of additional page charges at $100 USD per additional page at the time of registration and final paper submission

See below for each workshop's submission link. All papers should follow the IEEE conference template:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Important dates for all Workshops
Submit all workshop papers for review:	HARD DEADLINE—Monday 8 July 2019
Acceptance notices sent:	Changed to 19 July 2019
Final papers due:	EXTENDED—29 July 2019

Early conference registration ends: 25 August 2019
Hotel registration ends: 8 September 2019

Workshop Chair		IEEE VTS Technical Program Administrator
Gerhard Bauch TU Hamburg-Harburg, Germany		Cerry Leffler IEEE VTS, USA

W1: *5G and Beyond* Technologies for Ultra-Dense Environments
Papers due 8 July 2019
22 Sep 2019

W2: Swarm Intelligence: Autonomous and Connected Unmanned Aircraft Systems
Papers due 8 July 2019
22 Sep 2019

W2: Swarm Intelligence: Autonomous and Connected Unmanned Aircraft Systems

Organized by Kamesh Namuduri (University of North Texas, USA)

Date: 22 Sep 2019

Call for Papers

Abstract: As small Unmanned Aircraft Systems (UAs) are integrated into the National Airspace (NAS) around the world, there is a need for enhanced situational awareness, traffic management, autonomy, human-autonomy teaming, safety and security of people and infrastructure. The UAS Science and Research Panel (SARP) has emphasized the importance of vehicle-to-vehicle communications and human-machine teaming in the operational context of multiple UAS deployment.

Standardization efforts and regulations are in progress to support UAS Traffic Management (UTM), over-the-air communications between UAs, Beyond Radio Line-of-Sight (BRLOS) communications, and UAS navigation and command and control using satellite, cellular, and ad hoc networks. NASA leads the standardization efforts for UTM, and IEEE leads the standardization efforts for Self-organized Aerial Communications and Networking of UAs. IEEE VTS recently created an ad hoc committee on drones to promote research in this important discipline, which is working towards a roadmap for promoting research in related topics including UAS connectivity, navigation, command and control, autonomy, reliability, safety, security, and regulatory aspects.

Topics

Autonomy and Cooperation in Swarms
Human-autonomy teaming
Cooperative and collaborative strategies for critical tasks such as sense and avoid
Geo-fencing, and trajectory design and optimization
Ad hoc and mesh-networking of UAs
Traffic management
Command, control, and navigation
Beyond radio line of sight communications
Navigation in GPS-denied areas
Vehicle-to-Vehicle communications
Millimeter wave communications
Massive MIMO and beamforming
UAS integration in National Airspace
Onboard sensors and their integration
Flight-tests, test-beds, and simulations
Safety, security and privacy
Regulatory aspects

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1793

[ Close ]

W3: Machine Learning for Wireless Communications
Papers due 8 July 2019
22 Sep 2019

W3: Machine Learning for Wireless Communications

Organized by Fayçal Ait Aoudia (Nokia Bell Labs France), Elisabeth de Carvalho (Aalborg University, Denmark), Jakob Hoydis (Nokia Bell Labs France) and Marios Kountouris (Huawei Technologies, France)

Date: 22 Sep 2019

Call for Papers

Abstract: During the last decade, tremendous research efforts have been put into machine learning (ML) which led to breakthroughs in many fields such as computer vision, natural language processing, pattern recognition, and game play. Recently, there has been a growing interest in ML also for communication systems. Motivated by encouraging preliminary results and the game changing progress observed in other domains, it is believed that ML could lead to significant advances in communication systems with a long-lasting impact. Moreover, ML enables novel data-driven approaches to system design which render accurate models – when available – less relevant.

Despite the recent vivid interest for ML in communications, the full potential and limitations of ML in this domain have not been yet fully understood. Therefore, we solicit novel contributions on the topics listed below.

Topics

Deep learning for channel coding and transceiver design
Neural networks for wireless communication (end-to-end learning, autoencoders, generative adversarial networks, etc.)
Information bottleneck methods for communications
Deep learning for radio resource management
Deep Learning for user behavior and demand prediction
Deep Learning for user localization and trajectory prediction
Novel use-case leveraging machine learning
Deep learning for MIMO systems
Deep learning for access control
Deep learning for channel estimation
Deep learning for URLLC
On-device machine learning
Co-design of hardware and machine learning algorithms
Implementation and acceleration of machine learning algorithms
Experimental results on applications of AI in wireless systems
Security in ML-based communication systems
New data sets and ML challenges in wireless systems
ML-augmented algorithms and models

Workshop home: https://vtc19wkshpmlwic.wixsite.com/wkshpmlwic

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1794

[ Close ]

W4: Network-Assisted Collaborative Automated Driving
Papers due 8 July 2019
22 Sep 2019

W4: Network-Assisted Collaborative Automated Driving

Organized by Rui Guo and Hongsheng Lu (Toyota InfoTechnology Center, USA)

Date: 22 Sep 2019

Call for Papers

Abstract: As driving becomes increasingly automated, how to design a robust ADAS that operates reliably across the entire spectrum of driving environments attracts tremendous attention from both industry and academia. One promising way of approaching this goal is to take advantage of vehicular wireless communications. By connecting with other vehicles and/or to the roadside, a vehicle collects information regarding its surrounding environment from multiple angles and with diverse granularities. Such information is expected to augment ADAS?s perception, location, and mapping competence, resulting in a more smooth and confident navigation. However, many challenges exist in this promising area.

This dedicated workshop concerns the most recent advancements in wireless communications, sensory technologies and information processing. It aims to compile a refreshed view on the solutions combing the power of wireless communications and traditional ADAS for a safer, more efficient automated/autonomous vehicle. Challenges, opportunities and benefits of performing research in this interdisciplinary domain will be analyzed and highlighted.

Topics

Wireless communication protocol design aimed to enable or augment cooperation among automated/autonomous ground vehicles This topic includes optimization of existing communication technologies (e.g., DSRC, LTE-V2X) for automated/autonomous driving applications and design of new communication solutions (e.g., 5G, mmWave) for large capacity V2X data communications
Collaborative automated/autonomous vehicle applications that leverage over-the-air information to facilitate the vehicles? operation This topic solicits innovative V2X application designs. The applications will be capable of processing V2X information to improve automated/autonomous vehicles? perception, localization, mapping and control.
V2X communication protocol design, testing and evaluation
V2X assisted/enhanced applications
Vehicular cooperative sensory fusion
Cooperative automated driving
Network-augmented ADAS

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1795

[ Close ]

W5: Reliable Ubiquitous Navigation in Smart Cities
Papers due 8 July 2019
22 Sep 2019

W5: Reliable Ubiquitous Navigation in Smart Cities

Organized by Ronald Raulefs (German Aerospace Center), Zak M. Kassas (UCI, USA), Fabio Dovis (Politecnico di Torino, Italy), Gonzalo Seco-Granados (UAB, Spain), Henk Wymeersch (Chalmers U Tech, Sweden), Norbert Franke (Fraunhofer Inst for Integrated Circuits, Germany), and Christian Gentner (German Aerospace Center-DLR, Germany)

Date: 22 Sep 2019

Call for Papers

Abstract: Reliable and ubiquitous positioning and navigation is a key enabler for a variety of applications in smart cities. Outdoors, global navigation satellite systems (GNSSs) offer reliable and accurate positioning information in open sky conditions. In urban environments, the accuracy of GNSS positioning reduces drastically; and in indoor environments, GNSS positioning is typically unavailable altogether. To circumvent the limitations of GNSS in smart cities, and with the proliferation of the massively connected world of ”Internet of Things,” alternative reliable and accurate positioning and navigation systems are sought to enable future applications, such as self-driving cars, semi-autonomous vehicles, unmanned aerial vehicles (UAVs), and location-based services. In this regard, cellular communication systems could prove to be attractive. In 3GPP, this was considered at an early stage, and it is expected that beyond 5G solutions will deliver a significant improvement over current solutions.

The goal of the workshop is to solicit the development of new positioning and navigation techniques. This workshop will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to these issues.

Topics

Positioning in 5G and beyond
Cellular based positioning and hybrid approaches
Distributed and collaborative localization
Navigation in smart cities
Autonomous robotics and UAV navigation
Satellite and terrestrial navigation and positioning techniques
UWB positioning
Narrowband IoT positioning
Passive localization
Simultaneous localization and mapping algorithms
Receiver design and multipath mitigation
Multisensor integrated systems and sensor fusion technologies
Joint localization and communication
Non-radio based navigation
Machine learning for localization

Workshop home: https://www.run-smartcities.org

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1796

[ Close ]

W6: Small Data Networks
Papers due 8 July 2019
22 Sep 2019

W6: Small Data Networks

Organized by Andrea Munari and Federico Clazzer (German Aerospace Center), and Enrico Paolini (University of Bologna, Italy)

Date: 22 Sep 2019

Call for Papers

Abstract: "Small data" refers to information exchanged by a massive number of smart devices and sensors in the broad context of machine-type communications. Small data sets—metering data, status reports, remote commands, and information generated and transmitted within the IoT—are produced by myriad devices accessing the infrastructure sporadically, generating a massive amount of short packets that must be received with high reliability, exploiting the available spectrum resources efficiently even in absence of coordination.

Recent developments—physical layer network coding and various techniques based on successive interference cancellation (SIC), where interference is embraced and creatively utilized—have been proposed, opening a new perspective for uncoordinated multiple access protocols and dramatic performance improvements, and increased throughput of interference-limited channels. This calls for new studies on fundamental limits, optimal waveform design, signal-processing algorithms, error-correcting schemes and access protocols, and theoretical tools for system design. Research in the field is further buttressed by clearly defined and market-driven goals from the industry.

This workshop hopes to stimulate new contributions to the topic, emphasizing cross-layer interactions between the MAC and PHY layers of the protocol stack, and connections to coding and information theory.

The workshop will feature keynote speeches by Prof. Jean-Francois Chamberland, Texas A&M University; and Dr. Alex Grant, CEO of Myriota.

Topics

Fundamental limits on communications for small data packets
Wireless access protocols for vehicular networks
Wireless access protocols for the IoT, M2M communications and large-scale wireless sensor networks
Efficient access schemes for very short-packet communications
Access protocols for low-latency, ultra-reliable communications
Signal processing for M2M and vehicular networks
Innovative techniques for 5G and IoT radio access networks
Channel coding and modulation for sporadic transmission over wireless channels
Error control coding for ultra-reliable communications
Network coding and physical-layer network coding in multiple access schemes
Energy efficient cross-layer MAC-PHY design
Channel estimation and user detection in massive access protocols

Workshop home: http://www.smalldatanet.com/

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1797

[ Close ]

W7: Technology Trials and Proof-of-Concept Activities for 5G Evolution & Beyond 5G 2019 (TPoC5GE 2019)
Papers due 8 July 2019
22 Sep 2019

W8: Vehicular Information Services for the Internet of Things (VISIT 2019)
Papers due 8 July 2019
22 Sep 2019

W8: Vehicular Information Services for the Internet of Things (VISIT 2019)

Organized by Sherin Abdelhamid (Autonomous Vehicle Innovation Network, Ontario Centres of Excellence, Canada) and Khalid Elgazzar (University of Ontario Institute of Technology, Canada)

Date: 22 Sep 2019

Call for Papers

Abstract: Among the key enablers of the Internet of Things (IoT), smart vehicles promise solutions for providing on-road communication and ubiquitous information services. In-vehicle sensors, diversified communication modules, and an on-board unit with high computing and storage capabilities enable the smart vehicle to become a mobile resource provider. Expanding the smart vehicle-based services/applications beyond the intelligent transportation services requires new service scopes, innovative system architectures, and design enabling technologies. Enabling pervasive and diversified vehicular service provisioning in the IoT era requires the synergy of distributed cloud and fog computing, networking infrastructures, crowdsourcing, public sensing, information-centric networking, privacy and security techniques. Our main objective is to highlight ongoing efforts in this area, and to address issues that arise from smart vehicles such as resource and service discovery, data communication and delivery, quality of information assessment, resource recruitment, and incentive modelling. We encourage high quality submissions of technical research papers, industrial papers, position papers, and tool demonstration papers.

Topics