IEEE SmallDataNets 2019
IEEE VTC2019-Fall Workshop on Small Data Networks
Waikiki Beach Marriott Resort & Spa
Honolulu, Hawaii, USA, 22 September 2019
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"Small data" refers to a rising paradigm in modern wireless networks, pointing to information exchanged by a massive number of smart devices and sensors in the broad context of machine-type communications. Small data sets span from metering data and status reports to remote commands and data generated and transmitted within the IoT. They are generally produced by a myriad of devices which access the communication infrastructure sporadically, generating a massive amount of short packets that have to be received with high reliability, exploiting the available spectrum resources efficiently even in absence of coordination. In such a framework, the design of network protocols departs from conventional approaches used for predictable, persistent, and coordinated data sources. Major changes have to be applied to the physical and the medium access control (MAC) layers to account for the sporadic and uncoordinated nature of the transmissions, touching all basic aspects: from signal detection, channel estimation, coding and modulation up to the medium sharing policies and possibly involving the higher layers of the communication stack. While traditional protocols are designed to avoid interference, in recent years several innovative developments have been proposed, such as physical layer network coding and various techniques based on successive interference cancellation (SIC), where interference is embraced and creatively utilized. These developments have opened a completely new perspective for uncoordinated multiple access protocols, paving the way to dramatic performance improvements, and rendering the throughput of interference-limited channels competitive with respect to that of systems relying on predictable data sources. This is calling for new studies on the fundamental limits as well as on finding optimal ways of designing waveform, signal-processing algorithms, error correcting schemes and access protocols, and on theoretical tools to drive the system design. Research in the field is further buttressed by clearly defined market-driven goals from the industry, in the quest for highly reliable, highly efficient, low-complexity access solutions for a massive number of devices. The road towards beyond-5G communications is only one relevant example of where upcoming research has the potential to leave a fundamental mark. The goal of this workshop is to stimulate new contributions to the topic, with emphasis on cross-layer interactions between the MAC and PHY layers of the protocol stack, as well as on the connections to coding and information theory.
Topics of interest include, but are not limited to:
Technical Program9:00 - 9:30 Welcome9:30 - 10:30 Keynote 1 Coding and Compressed Sensing for Unsourced Multiple Access Jean-Francois Chamberland (Texas A&M) AbstractCurrently deployed wireless access systems based on sustained connectivity, channel estimates, and scheduling policies are ill-equipped to deal with the sporadic traffic generated by legions of unattended wireless devices. This impending technological challenge has fueled several recent research initiatives whose shared goal is to ready wireless infrastructures for the demands of tomorrow. Pertinent recent advances in this area include the introduction of unsourced, uncoordinated multiple-access models attuned to machine-driven communications and the assessment of their fundamental limits for messages with small payloads. This presentation will review recent contributions on this topic and focus on a novel communication scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach leverages recent progress in compressed sensing and forward error correction to produce a novel uncoordinated access paradigm, along with a computationally efficient decoding algorithm. Within this framework, every active device partitions its data into several sub-blocks and, subsequently, adds redundancy using a systematic linear block code. Compressed sensing techniques are then employed to recover sub-blocks up to a permutation of their order, and the original messages are obtained by stitching fragments together using a tree-based algorithm. The presentation will also discuss how this conceptual architecture is influencing other efforts in the field, along with candidate future directions and open problems. Slides10:30 - 11:00 Coffee Break 11:00 - 12:30 Technical Session 1 Papers
12:30 - 14:30 Lunch Break 14:30 - 15:30 Keynote 2 Kepler - Enabling IoT from Low Earth Orbit Wen Cheng Chong (CTO Kepler Communications) AbstractKepler is in the early stages of building out a Low-Earth-Orbit (LEO) constellation of 140 satellites. While our first two satellites are currently on-orbit providing wideband data backhaul utilizing Ku-spectrum, our next satellite -- and all thereafter -- will have both wideband and narrowband capabilities. Our everywhere IoT service will launch with our lead customer, Deutsche Bahn, with a direct-to-satellite container tracking solution, with subsequent modules and solutions already in the design phase. During this session, Wen Cheng Chong, CTO of Kepler, will provide a brief introduction to Kepler, highlights of some of the early market opportunities identified for IoT and why these are well-served by satellite technology, and some of the challenges the Kepler team is tackling to support IoT from LEO. Slides15:30 - 16:00 Coffee Break 16:00 - 17:10 Technical Session 2 Papers
17:10 - 17:30 Wrap Up |
Useful InformationCall for Papers (PDF)For authors Impressum Past EditionsIEEE PIMRC SmallDataNets 2018IEEE SPAWC SmallDataNets 2017 IEEE ICC MASSAP 2016 IEEE ICC MASSAP 2015 IEEE ICC MASSAP 2014 2013 First DLR Workshop on Random Access and Coding Important DatesSubmission deadline: July 8, 2019Acceptance notification: July 19, 2019 Camera-ready papers: July 29, 2019 Workshop ChairsFederico Clazzer, German Aerospace Center Andrea Munari, German Aerospace Center Enrico Paolini, University of BolognaInternational Advisory CommitteeKrishna Narayanan, Texas A&M UniversityPetar Popovski, Aalborg University Marco Chiani, University of Bologna Gianluigi Liva, German Aerospace Center Technical Program CommitteeAdnan Aijaz, Toshiba Research Europe LtdLeonardo Badia, University of Padova Yan Chen, Huawei Giuseppe Cocco, EPFL Asaf Cohen, Ben-Gorion Univ. of the Negev Lin Dai, City University of Hong Kong Karina Gomez, RMIT University Sarah J. Johnson, University of Newcastle Soung Liew, Chinese University of Hong Kong Rongke Liu, Beihang University Rockey Luo, Colorado State University Stephan Pfletschinger, Offenburg University Yury Polyanskiy, MIT Tony Q.S. Quek, Singapore University of T&D Laurent Reynaud, Orange Labs Shirin Saeedi Bidokhti, Univ. of Pennsylvania Cedomir Stefanovic, Aalborg University Stefano Tomasin, University of Padova Laura Toni, University College London Dejan Vukobratovic, University of Novi Sad Peng Wang, KTH Richard Wesel, UCLA David T.C. Wong, Institute for Infocomm Res. Zhaoyang Zhang, Zhejiang University |