COW :: Seminars ::
Recommended duration for PhD thesis is 90 minutes, for other seminar types, it is 60 minutes. The duration specified here is used to reserve the room.
Please check room availability from
page. You must use the same room name as used in the scheduling page if you want to automatically reserve the room.
AI-enabled Wireless Networks: A Case Study on Resource Allocation using Deep Reinforcement Learning
Dr. Melike Erol-Kantarci
Supervisors field is applicable especially for a Thesis Defense
University of Ottawa
This talk will focus on how advanced machine learning algorithms can be used to improve the performance of the next generation wireless networks. The fourth generation (4G) wireless networks (also known as LTE) will be gradually replaced by 5G, which will be operational in some parts of the world as early as 2019. Peak data rate, spectrum efficiency, mobility management, density of connections, energy-efficiency and traffic capacity per area are all expected to be significantly improved in 5G. To satisfy these challenging requirements, the radio access part of the wireless networks is becoming denser with the use of small cells. Meanwhile, the core of the network is becoming more complex due to the need for multi-tenanting of various services. Achieving ultra-reliable and low-latency communications with such high levels of complexity calls for intelligent mechanisms to orchestrate all the available resources, services and users. AI-enabled wireless networks emerge as a key enabler for the connectivity of autonomous vehicles (AVs), augmented, virtual reality, (AR/VR) users and smart cities, all of which call for higher levels of flexibility that can best be achieved with AI techniques. In this talk, a deep reinforcement learning-based resource allocation technique will be introduced and performance results will be demonstrated.
Dr. Erol-Kantarci is an Associate Professor at the School of Electrical Engineering and Computer Science at uOttawa and the founding director of Networked Systems and Communications Research (NETCORE) laboratory. She is an influential researcher with more than 100 peer-reviewed publications, citations over 3800 and h-index of 30. Her pioneering works have received several awards and recognitions. She has received the 2017 IEEE Communication Society Best Tutorial Paper Award which is regarded as one of the society’s most prestigious awards. She is the co-editor of two books: “Smart Grid: Networking, Data Management, and Business Models” and “Transportation and Power Grid in Smart Cities: Communication Networks and Services” published by CRC Press and Wiley, respectively. She has delivered seven tutorials and more than 20 invited talks around the globe. She is a director for IEEE MMTC Frontiers journal, an editor of the IEEE Communications Letters and IEEE Access. She has acted as the general chair or technical program chair for many international conferences and workshops. She is currently the chair of Green Smart Grid Communications special interest group of IEEE Technical Committee on Green Communications and Computing. She is also a senior member of the IEEE. Her main research interests are 5G and beyond wireless networks, smart grid, electric vehicles and Internet of Things.
download slides :
check this to delete slides
slidesFilename is the name of downloadable file, and will be automatically filled when you upload a new file. You may change the name also.
2019-06-20 22:07:00, 1561057620.684 secs
COW by: Ahmet Sacan