Abstract: The collision of sensing and communication (S&C) in the limited spectrum and proliferation of intelligent wireless devices sparks the promising development of integrated sensing and communication (ISAC) technologies. In the 6G communications, ISAC is defined as one of the six usage scenarios to enable seamless interconnectivity and mutual sensing among intelligent devices. In this talk, how to efficiently design the beamforming and resource allocation in ISAC system will be introduced.  How to model the impacts of dual-scale channel estimation on the system performance will be discussed. Meanwhile, the tradeoff between the sensing performance and communication performance in ISAC system will be model and demonstrated.

Biography:

Bio: Fen Hou received Ph.D. degree in electrical and computer engineering from the University of Waterloo, Canada. 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, Macau SAR, China. Her research interests include resource allocation in intelligent computing networks, mechanism design and optimal user behavior in wireless communication networks, Performance optimization for integrated sensing and communication systems. 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 TPC chair and co-chair for several IEEE conferences such as ICCS 2014, INFOCOM 2014, ICCC 2015, ICC 2016, and ICCC 2021 and 2024. She currently serves as an Associate Editor of IEEE Transactions on Wireless Communications and IEEE Communications Surveys & Tutorials.

Address:Canada