227 citations · 581 across the 18 of their papers we have counts for
19 papers
Towards Green Metaverse Networking Technologies, Advancements and Future Directions
Siyue Zhang, Wei Yang Bryan Lim, Wei Chong Ng +4
As the Metaverse is iteratively being defined, its potential to unleash the next wave of digital disruption and create real-life value becomes increasingly clear. With distinctive…
Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication
Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim +4
Increasing privacy and security concerns in intelligence-native 6G networks require quantum key distribution-secured semantic information communication (QKD-SIC). In QKD-SIC system…
Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse
Wei Chong Ng, Hongyang Du, Wei Yang Bryan Lim +3
The physical-virtual world synchronization to develop the Metaverse will require a massive transmission and exchange of data. In this paper, we introduce semantic communication for…
Economics of Semantic Communication System: An Auction Approach
Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim +4
Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meaning of data. Edge components, such as vehicles in next-gene…
Semantic Communications for Future Internet: Fundamentals, Applications, and Challenges
Wanting Yang, Hongyang Du, Ziqin Liew +6
With the increasing demand for intelligent services, the sixth-generation (6G) wireless networks will shift from a traditional architecture that focuses solely on high transmission…
A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges
Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim +6
Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from…
Semantic Communication Meets Edge Intelligence
Wanting Yang, Zi Qin Liew, Wei Yang Bryan Lim +5
The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum…
Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted Edge Computing
Wei Chong Ng, Wei Yang Bryan Lim, Zehui Xiong +4
Unmanned aerial vehicles (UAVs) have gained wide research interests due to their technological advancement and high mobility. The UAVs are equipped with increasingly advanced capab…
Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven
Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato +4
Dubbed "the successor to the mobile Internet", the concept of the Metaverse has recently exploded in popularity. While there exists lite versions of the Metaverse today, we are sti…
Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network
Wei Chong Ng, Wei Yang Bryan Lim, Jer Shyuan Ng +3
Today, modern unmanned aerial vehicles (UAVs) are equipped with increasingly advanced capabilities that can run applications enabled by machine learning techniques, which require c…
Economics of Semantic Communication System in Wireless Powered Internet of Things
Zi Qin Liew, Yanyu Cheng, Wei Yang Bryan Lim +3
The semantic communication system enables wireless devices to communicate effectively with the semantic meaning of the data. Wireless powered Internet of Things (IoT) that adopts t…
A Game-theoretic Approach Towards Collaborative Coded Computation Offloading
Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong +5
Coded distributed computing (CDC) has emerged as a promising approach because it enables computation tasks to be carried out in a distributed manner while mitigating straggler effe…
Collaborative Coded Computation Offloading: An All-pay Auction Approach
Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg +4
As the amount of data collected for crowdsensing applications increases rapidly due to improved sensing capabilities and the increasing number of Internet of Things (IoT) devices,…
A Survey of Coded Distributed Computing
Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong +5
Distributed computing has become a common approach for large-scale computation of tasks due to benefits such as high reliability, scalability, computation speed, and costeffectiven…
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms
Yi Liu, Jiangtian Nie, Xuandi Li +3
Due to air quality significantly affects human health, it is becoming increasingly important to accurately and timely predict the Air Quality Index (AQI). To this end, this paper p…
Joint Auction-Coalition Formation Framework for Communication-Efficient Federated Learning in UAV-Enabled Internet of Vehicles
Jer Shyuan Ng, Wei Yang Bryan Lim, Hong-Ning Dai +6
Due to the advanced capabilities of the Internet of Vehicles (IoV) components such as vehicles, Roadside Units (RSUs) and smart devices as well as the increasing amount of data gen…
Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning
Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong +4
In 5G and Beyond networks, Artificial Intelligence applications are expected to be increasingly ubiquitous. This necessitates a paradigm shift from the current cloud-centric model…
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Wei Yang Bryan Lim, Jianqiang Huang, Zehui Xiong +5
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence (…
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang +5
In recent years, mobile devices are equipped with increasingly advanced sensing and computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up countless…