Track Co-Chairs

• Sofie Pollin, Electrical Engineering, KU Leuven, Belgium
• Alessandro Chiumento, Trinity College Dublin, Ireland

Scope and Motivation

The Wireless Communications Track aims at covering all aspects related to wireless communications and its applications, with a focus on topics related to physical layer (PHY), MAC layer, cross-layer, and physical layer-related network analysis and design. Particular interest is devoted to the Machine Learning and Artificial Intelligence applied to wireless communications.

The purpose of this track is to bring together experts and students from both academia and industry, to discuss and exchange new views and ideas about theoretical and practical aspects of wireless communications.

Main Topics of Interest

We solicit original and unpublished research in all aspects of wireless communications, including, but not limited to, the following topics:

• Advanced equalization, channel estimation and synchronization techniques
• Antennas, smart antennas, and space-time processing
• Cross-layer design and physical-layer based network issues
• Device-to-device and machine-to-machine communications
• Distributed, relay assisted, and cooperative communications
• Energy efficient PHY layer design, energy harvesting
• Heterogeneous and small-cell networks
• Hybrid communication systems (e.g. satellite/terrestrial/wireline hybrids)
• Information-theoretic aspects of wireless communications
• Interference modelling, management, cancellation, and alignment
• MIMO, multi-user MIMO, and massive MIMO
• Modulation, coding, diversity, equalization, synchronization
• Multiple access techniques and air interfaces (CDMA, TDMA, FDMA, OFDMA)
• Next generation and beyond multiple access techniques (NOMA, SCMA, MUST, etc.)
• OFDM and multi-carrier systems
• Physical-layer network coding
• Physical-layer security
• Physical-layer design for cellular, wireless LAN, ad hoc, and sensor networks
• Radio resource management and inter-cell interference coordination (ICIC)
• Signal processing for wireless communications
• Ultra-wideband, mmWave, and sub-THz communications
• Underwater communications
• Wireless communications testbeds, field tests, and measurements
• Wireless network coding
• Machine learning for wireless communication (Deep Learning, Active Learning, etc.)
• Visible Light communication