Biography: Fen Hou received the Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, Canada, in 2008. She is currently an Associate Professor with the State Key Laboratory of IoT for Smart City, and the Department of Electrical and Computer Engineering, University of Macau. Her research interests include resource allocation in intelligent computing networks, mechanism design and optimal user behavior in wireless communication networks, etc. She was a co-recipient of the IEEE Globecom Best Paper Award in 2010, the Distinguished Service Award in the IEEE MMTC in 2011, and IEEE VTC-Fall Best Student Paper Award in 2021. She served as the symposium chair and co-chair for several IEEE conferences such as INFOCOM 2014, ICCC 2015, ICC 2016, ICCC 2021, 2023, and 2024, etc.
Talk Title:
Efficient Resource Allocation and Task Offloading with Different MEC Scenarios
Talk Abstract :
With the development of wireless communications, the monthly mobile data is anticipated to soar to a staggering 257 GB by the year 2030 according to forecast, which will lead to congestion in the backbone network. Mobile edge computing (MEC) is a promising paradigm to address the congestion in backbone network, reduce the latency of tasks, and balance the energy consumption at the end users. In this talk, we will present different application scenarios including online gaming, industrial Internet of Things, intelligent transportation systems, etc. These application scenarios have their own unique service requirements. We will talk about how to tackle these critical issues by designing efficient resource allocation and task offloading algorithms.
