Biennial Symposium on Communications (BSC) 2023
Description
Information Theory is closely associated with the work of Claude Shannon, an American electrical engineer, in the mid-20th century. The topic has since been the subject of research among many scientists including mathematicians and communication engineers. Although Information Theory overlaps heavily with Communication Theory, it is more oriented toward the fundamental limitations on the processing and communication of information as well as the emergence of the information era. As a result, the IEEE Information Theory Society, IEEE Computer Society and
the Canadian Society of Information Theory continue to encourage new frontiers of the fundamental foundations of general Communication Theory and technology. Interestingly, the BSC 2023 is presented by the Canadian Society of Information Theory and is technically cosponsored
by the IEEE Computer Society and IEEE Montreal section.
Started in 1962 by Queen’s University, the BSC is now presented by the Canadian Society of Information Theory. The symposium aims at fostering interactions among Canadian established researchers, early career researchers and especially graduate students working in the area of Information Theory, communications, and signal processing. The symposium offers young scientists and graduate students important opportunities of presenting their work to a broader audience while exercising and improving their communications skills. The symposium also facilitates the building of new research networks and collaborations among various early and established researchers including graduate students, while further strengthening those already established in their field.
The BSC 2023 is the 31st edition of this symposium and will present new contributions from a broad range of topics in communications, information theory, and signal processing, including:
• Communication and Information Theory
• Coding and Signal Processing for Communications
• Massive MIMO and Cooperative Communications
• Millimeter Wave Communication
• Reconfigurable Intelligent Surfaces
• Source coding and Multimedia Communications
• Communication QoS, Reliability and Modeling
• Mobile & Wireless Network
• Internet of Things (IoT) and Sensor Networks
• Satellite, Space, and Aerial Communications
• Machine Learning for Communications and Networks
• Green Communication Systems and Networks
• Next Generation Networking & Internet
• Smart Grid Communications
• Optical Communication Networks and Systems
• Nano-networking and Molecular Communication
• Software-Defined Networking
• Network Virtualization
• Edge/Fog/Cloud Computing
• Communication System Security and Cryptography