6G Seminar Series

“Machine Learning for Millimetre Wave Vehicular Communication and An Overview of 6th Generation (6G) Technologies.”

Speaker: Dr. Allyson Sim Gek Hong, TU Darmstadt, Germany

Jointly organised by: Wireless Communication Centre, School of Electrical Engineering, Universiti Teknologi Malaysia and IEEE Malaysia Communications Society and Vehicular Technology Society Joint Chapter

Date: 23rd Feb 2020 (Sun)

Time: 11am to 12pm.

Venue: Tutorial Room 10, Level 5, P19a, School of Electrical Engineering, UTM.

Google maps location: https://goo.gl/maps/sTgvMNRax7zk4k5D8

Abstract:

In this talk, the speaker will pshare her recent work on Context-Aware Machine Learning for mmWave Vehicular Communication and also give an overview of 6G technologies.

Part I:

Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-everything (V2X) since future vehicular systems demand Gbps links to acquire the necessary sensory information for (semi)-autonomous driving. Nevertheless, the directionality of mmWave communications and its susceptibility to blockage raise severe questions on the feasibility of mmWave vehicular communications. The dynamic nature of 5G vehicular scenarios and the complexity of directional mmWave communication calls for higher context-awareness and adaptability. To this aim, we propose an online learning algorithm addressing the problem of beam selection with environment-awareness in mmWave vehicular systems. In particular, we model this problem as a contextual multi-armed bandit problem. Next, we propose a lightweight context-aware online learning algorithm, namely fast machine learning (FML), with proven performance bound and guaranteed convergence. FML exploits coarse user location information and aggregates the received data to learn from and adapt to its environment.

Part II:

With the roll-out of 5G communication, research on 6G and beyond communication has picked up. In this part of the talk, I’d present an overview of 6G technologies as well as my current research interests.

Speaker Biography:

Dr. Sim completed her first and second Master's degree in MMU, and University Carlos III, Madrid, respectively. She continued her PhD with University Carlos III, Madrid and also worked as a researcher in IMDEA Networks Madrid. After completing her PhD, she moved to TU Darmstadt in Germany as a Post-doc. Her research interests are scheduling, Millimetre-wave and higher frequency communications, future wireless communication, and beamforming/precoding design.