W6: Small Data Networks

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

Time: 9:00–17:30
Room: Milo 3

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 a keynote speech given by Prof. Jean-Francois Chamberland, Texas A&M University.

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

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