Machine Learning for Reliable Communication in 5G and 6G Wireless Systems
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.
Date and Time
Location
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- Date: 30 Nov 2022
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
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- Starts 21 November 2022 12:00 PM
- Ends 30 November 2022 12:00 PM
- All times are (UTC-05:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Dr. Annapurna Pradhan
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.
Biography:
Dr. Annapurna Pradhan is a Ph.D. Research scholar at NIT, Rourkela in Electrical Engineering Department. She has over 10 years of experience in academia as an Assistant professor. Dr. Pradhan currently working on “Reliable and low latency communication for next generation wireless systems”. Her research interests are Wireless communication, Machine learning, URLLC, signal processing for communication, Quantum communication.
Apart from that, Dr. Pradhan serves as consultant for various startups for developing Machine Learning based micro-services. I am also a public speaker at various national and international platforms, winner of IEEE Innovation challenge-2021(YESIST12-East), Chief mentor of the Machine learning club at NITR, Mathematics Olympiad winner and well versed with my volunteering activities worldwide. She is also the ambassador for ‘AI exponential thinker’ in India.
You can follow Dr. Pradhan work on LinkedIn
https://www.linkedin.com/in/annapurna-pradhan-a95850177
Address:Canada