On December 18th, at the invitation of Prof. Meng Weixiao and Associate Prof. Chen Shuyi from IEEE ComSoc Harbin Section, Prof. Peter Han Joo Chong, a Full Professor and an Associate Head of the School (Research), School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand gave distinguished lecturers talks online. The detailed information of the lectures are as follows:

Title 1：

Fuzzy Logic-based Resource Allocation Algorithm for 5G C-V2X Networks

Date and Time:

10:00-11:00, Dec 18th, 2024

Abstract:

Cellular V2X (C-V2X) communications in 5G enable more advanced services with requirements of ultra-low latency and ultra-high reliability. How to make full use of the limited physical-layer resources is a key determinant to guarantee the quality of service (QoS). Therefore, resource allocation plays an essential role in exchanging information between vehicles, infrastructure, and other devices. In this Talk, we spotlight C-V2X in 5G cellular networks.  In order to intelligently and reasonably allocate resources, we propose a self-adaptive fuzzy logic-based strategy. To evaluate the network performance for this adaptive strategy, a system model for C-V2X is built for urban areas, and typical safety and non-safety services are deployed in the network. Our results reveal that the proposed fuzzy logic-based algorithm can substantially improve resource utilization and satisfy the requirements of C-V2X, compared with prior counterparts, which cannot provide guaranteed services due to low resource utilization.

Title 2：

A Fuzzy-Logic-Assisted Q Learning Model for Resource Allocation in 6G V2X

Date and Time:

11:00-12:00, Dec 18th, 2024

Abstract:

Cellular V2X (CV2X) communications empower advanced applications but at the same time bring unprecedented challenges in how to fully utilize the limited physical-layer resources, given the fact that most of the applications require both ultra low latency, high data rate and high reliability. Resource allocation plays a pivotal role to satisfy such requirements as well as guarantee quality of service (QoS). In this Talk, we introduced our proposed novel fuzzy-logic assisted Q learning model (FAQ) is proposed to intelligently and dynamically allocate resources by taking advantage of the centralized allocation mode. The proposed FAQ model reuses the resources to maximize the network throughput while minimizing the interference caused by concurrent transmissions. The fuzzy-logic module expedites the learning and improves the performance of the Q-learning.

Biography:

Peter Han Joo Chong (Senior Member, IEEE) received the Ph.D. degree from The University of British Columbia, Canada, in 2000. He was an Associate Professor (tenured) with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. From July 2000 and January 2001, he with the Advanced Networks Division, Agilent Technologies Canada Inc., Canada. From February 2001 to May 2002, he was a Research Engineer with the Nokia Research Center, Finland. From 2013 and 2016, he was the Director of the Infinitus, Centre for Infocomm Technology, NTU. He is currently a Full Professor and an Associate Head of the School (Research), School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. He is an Adjunct Professor with the Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, and an Honorary Professor with Amity University, India. He has published more than 300 research articles. His research interests include the areas of mobile communications systems, including MANETs/VANETs, C-V2X, the Internet of Things/Vehicles, AI for wireless networks, and 5G networks. He is a fellow of the Institution of Engineering and Technology (FIET).

Photos of the meeting: