Machine Learning for Reliable Communication in 5G and 6G Wireless Systems On Wednesday 30th November at 12H00 PM Montreal Time zone ZOOM LINK: https://uqtr.zoom.us/j/84721640964?pwd=YWxrZmRwY203ajdvSVlVWUdMZkxHUT09 MEETING ID: 847 2164 0964 PASSWORD: 170254 ABSTRACT Machine Learning (ML) has shown a great potential in revolutionizing communication system worldwide. The ever-increasing complexity of the wireless network, and the emergence of novel use cases such as autonomous cars, industrial automation, virtual reality, e-health, and several intelligent applications, machine learning (ML) is expected to be essential to assist in making the 5G vision conceivable. The cognitive optimization of essential radio resources for efficient end-to-end communication, enabling improvement in conventional communication theories and new architectural development can be facilitated in 5G and 6G by the use of machine learning. Hence, a comprehensive overview of emerging studies on machine learning and deep learning (DL) based physical and MAC layer enhancements in 5G will be presented. To be specific a brief idea regarding the 5G service classes (i.e. eMBB, URLLC and mMTC) and the scope of ML and DL in facilitating the QoS requirements will be focused. In addition to this, the challenges and possible solutions in implementing ML and DL in 5G will be presented. The open research areas will be presented for motivating further developments in enabling 5G and beyond wireless communication. Speaker(s): Dr. Annapurna Pradhan, Virtual: https://events.vtools.ieee.org/m/333597