b'Dusit Niyato'

research

∙ 06/23/2022

Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks

In this paper, we investigate the content popularity prediction problem ...

Yunwei Tao, et al. ∙

research

∙ 06/20/2022

Metaverse for Wireless Systems: Vision, Enablers, Architecture, and Future Directions

Recently, significant research efforts have been initiated to enable the...

Latif U. Khan, et al. ∙

research

∙ 06/15/2022

Blockchain-based Federated Learning for Industrial Metaverses: Incentive Scheme with Optimal AoI

The emerging industrial metaverses realize the mapping and expanding ope...

Jiawen Kang, et al. ∙

research

∙ 06/10/2022

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges

With the increasing demand for intelligent services, the sixth-generatio...

Wanting Yang, et al. ∙

research

∙ 04/19/2022

Quantum-Secured Space-Air-Ground Integrated Networks: Concept, Framework, and Case Study

In the upcoming 6G era, existing terrestrial networks have evolved towar...

Minrui Xu, et al. ∙

research

∙ 04/11/2022

Semantic Information Market For The Metaverse: An Auction Based Approach

In this paper, we address the networking and communications problems of ...

Lotfi Ismail, et al. ∙

research

∙ 04/02/2022

Privacy-preserving Anomaly Detection in Cloud Manufacturing via Federated Transformer

With the rapid development of cloud manufacturing, industrial production...

Shiyao Ma, et al. ∙

research

∙ 03/31/2022

Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks with Covert Communications

Rate Splitting Multiple Access (RSMA) has recently emerged as a promisin...

Nguyen Quang Hieu, et al. ∙

research

∙ 03/28/2022

An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid

A smart grid is an important application in Industry 4.0 with a lot of n...

Do Hai Son, et al. ∙

research

∙ 03/10/2022

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Dubbed "the successor to the mobile Internet", the concept of the Metave...

Minrui Xu, et al. ∙

research

∙ 03/08/2022

A Dynamic Hierarchical Framework for IoT-assisted Metaverse Synchronization

Metaverse has recently attracted much attention from both academia and i...

Yue Han, et al. ∙

research

∙ 03/05/2022

Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges

Future wireless communication systems will evolve toward multi-functiona...

Hongyang Du, et al. ∙

research

∙ 02/14/2022

Semantic Communication Meets Edge Intelligence

The development of emerging applications, such as autonomous transportat...

Wanting Yang, et al. ∙

research

∙ 02/11/2022

Stochastic Coded Offloading Scheme for Unmanned Aerial Vehicle-Assisted Edge Computing

Unmanned aerial vehicles (UAVs) have gained wide research interests due ...

Wei Chong Ng, et al. ∙

research

∙ 02/03/2022

Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT

Nowadays, the industrial Internet of Things (IIoT) has played an integra...

Zonghang Li, et al. ∙

research

∙ 02/02/2022

Performance Analysis and Optimization for Jammer-Aided Multi-Antenna UAV Covert Communication

Unmanned aerial vehicles (UAVs) have attracted a lot of research attenti...

Hongyang Du, et al. ∙

research

∙ 01/31/2022

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training

Federated learning (FL) is a rapidly growing privacy-preserving collabor...

Shenglai Zeng, et al. ∙

research

∙ 01/05/2022

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven

Dubbed "the successor to the mobile Internet", the concept of the Metave...

Wei Yang Bryan Lim, et al. ∙

research

∙ 11/20/2021

Reliable Coded Distributed Computing for Metaverse Services: Coalition Formation and Incentive Mechanism Design

The metaverse is regarded as a new wave of technological transformation ...

Yuna Jiang, et al. ∙

research

∙ 11/17/2021

Intelligence Reflecting Surface-Aided Integrated Data and Energy Networking Coexisting D2D Communications

In this paper, we consider an integrated data and energy network and D2D...

Nguyen Thi Thanh Van, et al. ∙

research

∙ 11/10/2021

Secure and Reliable Transfer Learning Framework for 6G-enabled Internet of Vehicles

In the coming 6G era, Internet of Vehicles (IoV) has been evolving towar...

Minrui Xu, et al. ∙

research

∙ 11/08/2021

Access Management in Joint Sensing and Communication Systems: Efficiency versus Fairness

In this paper, we consider a distributed joint sensing and communication...

Trung Thanh Nguyen, et al. ∙

research

∙ 11/07/2021

Wireless Edge-Empowered Metaverse: A Learning-Based Incentive Mechanism for Virtual Reality

The Metaverse is regarded as the next-generation Internet paradigm that ...

Minrui Xu, et al. ∙

research

∙ 10/31/2021

Optimal Targeted Advertising Strategy For Secure Wireless Edge Metaverse

Recently, Metaverse has attracted increasing attention from both industr...

Hongyang Du, et al. ∙

research

∙ 10/31/2021

A Dynamic Resource Allocation Framework for Synchronizing Metaverse with IoT Service and Data

Spurred by the severe restrictions on mobility due to the COVID-19 pande...

Yue Han, et al. ∙

research

∙ 10/28/2021

Optimal Stochastic Coded Computation Offloading in Unmanned Aerial Vehicles Network

Today, modern unmanned aerial vehicles (UAVs) are equipped with increasi...

Wei Chong Ng, et al. ∙

research

∙ 10/27/2021

Unified Resource Allocation Framework for the Edge Intelligence-Enabled Metaverse

Dubbed as the next-generation Internet, the metaverse is a virtual world...

Wei Chong Ng, et al. ∙

research

∙ 10/26/2021

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

Future Internet involves several emerging technologies such as 5G and be...

Tianxu Li, et al. ∙

research

∙ 10/05/2021

Securing Federated Learning: A Covert Communication-based Approach

Federated Learning Networks (FLNs) have been envisaged as a promising pa...

Yuan-Ai Xie, et al. ∙

research

∙ 09/28/2021

Dynamics in Coded Edge Computing for IoT: A Fractional Evolutionary Game Approach

Recently, coded distributed computing (CDC), with advantages in intensiv...

Yue Han, et al. ∙

research

∙ 08/02/2021

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging

In this paper, the design of a rational decision support system (RDSS) f...

Md. Shirajum Munir, et al. ∙

research

∙ 07/01/2021

Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning

This letter introduces a novel framework to optimize the power allocatio...

Nguyen Quang Hieu, et al. ∙

research

∙ 06/13/2021

Optimal Status Update for Caching Enabled IoT Networks: A Dueling Deep R-Network Approach

In the Internet of Things (IoT) networks, caching is a promising techniq...

Chao Xu, et al. ∙

research

∙ 06/10/2021

Blockchain and 6G: The Future of Secure and Ubiquitous Communication

The future communication will be characterized by ubiquitous connectivit...

Ali Hussain Khan, et al. ∙

research

∙ 05/31/2021

Federated Learning for Industrial Internet of Things in Future Industries

The Industrial Internet of Things (IIoT) offers promising opportunities ...

Dinh C Nguyen, et al. ∙

research

∙ 05/08/2021

Applications of Auction and Mechanism Design in Edge Computing: A Survey

Edge computing as a promising technology provides lower latency, more ef...

Houming Qiu, et al. ∙

research

∙ 05/04/2021

Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey

Drone security is currently a major topic of discussion among researcher...

Vikas Hassija, et al. ∙

research

∙ 04/27/2021

Throughput Maximization for IRS-Assisted Wireless Powered Hybrid NOMA and TDMA

The high reflect beamforming gain of the intelligent reflecting surface ...

Dingcai Zhang, et al. ∙

research

∙ 04/13/2021

Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report

Recently, we have struck the balance between the information freshness, ...

Chao Xu, et al. ∙

research

∙ 04/05/2021

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

Mobile edge computing (MEC) has been envisioned as a promising paradigm ...

Dinh C Nguyen, et al. ∙

research

∙ 03/30/2021

Symbiotic Communications: Where Marconi Meets Darwin

With the proliferation of wireless applications, the electromagnetic (EM...

Ying-Chang Liang, et al. ∙

research

∙ 03/11/2021

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

In this paper, we address dynamic network selection problems of mobile u...

Nguyen Thi Thanh Van, et al. ∙

research

∙ 02/24/2021

Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions

Internet of Everything (IoE) applications such as haptics, human-compute...

Latif U. Khan, et al. ∙

research

∙ 02/17/2021

A Game-theoretic Approach Towards Collaborative Coded Computation Offloading

Coded distributed computing (CDC) has emerged as a promising approach be...

Jer Shyuan Ng, et al. ∙

research

∙ 02/15/2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey

With outstanding features, Machine Learning (ML) has been the backbone o...

Cong T. Nguyen, et al. ∙

research

∙ 02/05/2021

Learning Rate Optimization for Federated Learning Exploiting Over-the-air Computation

Federated learning (FL) as a promising edge-learning framework can effec...

Chunmei Xu, et al. ∙

research

∙ 12/16/2020

A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications

It is known that the capacity of the intelligent reflecting surface (IRS...

Yulan Gao, et al. ∙

research

∙ 12/09/2020

Collaborative Coded Computation Offloading: An All-pay Auction Approach

As the amount of data collected for crowdsensing applications increases ...

Jer Shyuan Ng, et al. ∙

research

∙ 12/08/2020

Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things

Federated Edge Learning (FEL) allows edge nodes to train a global deep l...

YI LIU, et al. ∙

research

∙ 10/18/2020

Intelligent Reflecting Surface-Assisted Bistatic Backscatter Networks: Joint Beamforming and Reflection Design

The passive communication of backscatter devices is a major limiting fac...

Xiaolun Jia, et al. ∙

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