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IoTJ NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach

Zhenni Li, Minrui Xu, Jiangtian Nie, Jiawen Kang, Wuhui Chen, and Shengli Xie

Published in IEEE Internet of Things Journal, 2020 Paper

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

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chunyan Miao, and Dong In Kim

Published in IEEE International Conference on Communications, 2021 Paper

IoTJ Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems

Minrui Xu, Jialiang Peng, Brij B Gupta, Jiawen Kang, Zehui Xiong, Zhenni Li, and Ahmed A Abd El-Latif

Published in IEEE Internet of Things Journal, 2021 Paper

Preprint Holographic-Type Communication for Digital Twin: A Learning-Based Auction Approach

XiuYu Zhang, Minrui Xu, Rui Tan, and Dusit Niyato

Published in arXiv preprint arXiv:2211.01016, 2022 Paper

Preprint Optimal Stochastic Resource Allocation for Distributed Quantum Computing

Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong, Dusit Niyato, Han Yu, et al

Published in arXiv preprint arXiv:2210.02886, 2022 Paper

GlobeCom Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning

Minrui Xu, Wei Chong Ng, Dusit Niyato, Han Yu, Chunyan Miao, Dong In Kim, and Xuemin Sherman Shen

Published in IEEE Global Communications Conference, 2022 Paper

CAMAD Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks

Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, and Zehui Xiong

Published in IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022 Paper

GlobeCom Performance Analysis of Jammer-Aided Covert RIS-NOMA Systems

Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, and Shunmin Zhu

Published in IEEE Global Communications Conference, 2022 Paper

JSTSP Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet

Minrui Xu, Dusit Niyato, Zhaohui Yang, Zehui Xiong, Jiawen Kang, Dong In Kim, and Xuemin Shen

Published in IEEE Journal of Selected Topics in Signal Processing, 2022 Paper

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

Minrui Xu, Dusit Niyato, Zehui Xiong, Jiawen Kang, Xianbin Cao, Xuemin Sherman Shen, and Chunyan Miao

Published in IEEE Wireless Communications, 2022 Paper

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

Minrui Xu, Dinh Thai Hoang, Jiawen Kang, Dusit Niyato, Qiang Yan, and Dong In Kim

Published in IEEE Wireless Communications, 2022 Paper

JSAC Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT

Zhenni Li, Wensheng Su, Minrui Xu, Rong Yu, Dusit Niyato, and Shengli Xie

Published in IEEE Journal on Selected Areas in Communications, 2022 Paper

TNSE Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things

Jiawen Kang, Xuandi Li, Jiangtian Nie, Yi Liu, Minrui Xu, Zehui Xiong, Dusit Niyato, and Qiang Yan

Published in IEEE Transactions on Network Science and Engineering, 2022 Paper

Book Edge Computing Technologies for Metaverse

Minrui Xu and Dusit Niyato

Published in Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches, 2023 Paper

Preprint Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, and Dusit Niyato

Published in arXiv preprint arXiv:2306.14588, 2023 Paper

Preprint Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing

Rakpong Kaewpuang, Minrui Xu, Dinh Thai Hoang, Dusit Niyato, Han Yu, Ruidong Li, Zehui Xiong, and Jiawen Kang

Published in arXiv preprint arXiv:2307.13185, 2023 Paper

GlobeCom Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach

Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim, and Dusit Niyato

Published in IEEE Global Communications Conference, 2023 Paper

ICDCSW Learning-Based Incentive Mechanism for Task Freshness-Aware Vehicular Twin Migration

Junhong Zhang, Jiangtian Nie, Jinbo Wen, Jiawen Kang, Minrui Xu, Xiaofeng Luo, and Dusit Niyato

Published in IEEE International Conference on Distributed Computing Systems Workshops, 2023 Paper

VTC Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement

Ziqiaing Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, and Dusit Niyato

Published in IEEE Vehicular Technology Conference, 2023 Paper

GlobeCom Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence

Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE Global Communications Conference, 2023 Paper

MetaCom Generative AI-Empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse

Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE International Conference on Metaverse Computing, Networking and Applications, 2023 Paper

ICC Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, and Mingzhe Chen

Published in IEEE International Conference on Communications, 2023 Paper

ICCC Freshness-Aware Incentive Mechanism for Mobile AI-Generated Content (AIGC) Networks

Jinbo Wen, Jiawen Kang, Minrui Xu, Hongyang Du, Zehui Xiong, Yang Zhang, and Dusit Niyato

Published in IEEE/CIC International Conference on Communications in China, 2023 Paper

BSC Entangled Pair Resource Allocation under Uncertain Fidelity Requirements

Rakpong Kaewpuang, Minrui Xu, Stephen John Turner, Dusit Niyato, Han Yu, and Dong In Kim

Published in Biennial Symposium on Communications, 2023 Paper

ICNC Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning

Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, and Xuemin Sherman Shen

Published in International Conference on Computing, Networking and Communications, 2023 Paper

NOMS Stochastic Qubit Resource Allocation for Quantum Cloud Computing

Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, and Jiawen Kang

Published in IEEE/IFIP Network Operations and Management Symposium, 2023 Paper

MetaCom Joining Edge-Enabled Metaverse Services with Network Externality: A Stackelberg Game Approach

Yuna Jiang, Jiawen Kang, Dusit Niyato, Xiaohu Ge, Zehui Xiong, Minrui Xu, and Ruilong Deng

Published in IEEE International Conference on Metaverse Computing, Networking and Applications, 2023 Paper

TMM Learning-Based Auction for Matching Demand and Supply of Holographic Digital Twin over Immersive Communications

XiuYu Zhang, Minrui Xu, Rui Tan, and Dusit Niyato

Published in IEEE Transactions on Multimedia, 2023 Paper

VTC A Learning-Based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles

Jiani Fan, Minrui Xu, Ziyao Liu, Huanyi Ye, Chaojie Gu, Dusit Niyato, and Kwok-Yan Lam

Published in IEEE Vehicular Technology Conference, 2023 Paper

Network When Quantum Information Technologies Meet Blockchain in Web 3.0

Minrui Xu, Xiaoxu Ren, Dusit Niyato, Jiawen Kang, Chao Qiu, Zehui Xiong, Xiaofei Wang, and Victor CM Leung

Published in IEEE Network, 2023 Paper

WWW Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses

Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, and Wenchao Jiang

Published in Companion Proceedings of the ACM Web Conference, 2023 Paper

VTM Sparks of Generative Pretrained Transformers in Edge Intelligence for the Metaverse: Caching and Inference for Mobile Artificial Intelligence-Generated Content Services

Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE Vehicular Technology Magazine, 2023 Paper

JSAC Epvisa: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse

Minrui Xu, Dusit Niyato, Benjamin Wright, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE Journal on Selected Areas in Communications, 2023 Paper

JSTSP Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses

Minrui Xu, Dusit Niyato, Junlong Chen, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE Journal of Selected Topics in Signal Processing, 2023 Paper

COMST A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Shen, and Chunyan Miao

Published in IEEE Communications Surveys & Tutorials, 2023 Paper

IoTJ Qfdsa: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment

Chao Ren, Rudai Yan, Minrui Xu, Han Yu, Yan Xu, Dusit Niyato, and Zhao Yang Dong

Published in IEEE Internet of Things Journal, 2023 Paper

ComMag DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks

Napat Ngoenriang, Minrui Xu, Jiawen Kang, Dusit Niyato, Han Yu, and Xuemin Shen

Published in IEEE Communications Magazine, 2023 Paper

GetMobile An Overview of 3GPP Standardization for Extended Reality (XR) in 5G and Beyond

Qinpei Luo, Hongliang Zhang, Minrui Xu, Boya Di, Anthony Chen, Shiwen Mao, Dusit Niyato, and Zhu Han

Published in GetMobile: Mobile Computing and Communications, 2023 Paper

TVT Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach

Zi Qin Liew, Minrui Xu, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, and Dong In Kim

Published in IEEE Transactions on Vehicular Technology, 2023 Paper

IoTJ Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication

Rakpong Kaewpuang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, Han Yu, Jiawen Kang, and Xuemin Shen

Published in IEEE Internet of Things Journal, 2023 Paper

Network AI-Generated Network Design: A Diffusion Model-Based Learning Approach

Yudong Huang, Minrui Xu, Xinyuan Zhang, Dusit Niyato, Zehui Xiong, Shuo Wang, and Tao Huang

Published in IEEE Network, 2023 Paper

TVT Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand

Jiani Fan, Minrui Xu, Jiale Guo, Lwin Khin Shar, Jiawen Kang, Dusit Niyato, and Kwok-Yan Lam

Published in IEEE Transactions on Vehicular Technology, 2023 Paper

TMC Performance Analysis and Power Allocation for Covert Mobile Edge Computing with RIS-Aided NOMA

Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, and Shunmin Zhu

Published in IEEE Transactions on Mobile Computing, 2023 Paper

IoTJ Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses with Trajectory Prediction

Junlong Chen, Jiawen Kang, Minrui Xu, Zehui Xiong, Dusit Niyato, Chuan Chen, Abbas Jamalipour, and Shengli Xie

Published in IEEE Internet of Things Journal, 2023 Paper

GetMobile An Introduction to Point Cloud Compression Standards

Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, Dusit Niyato, and Zhu Han

Published in GetMobile: Mobile Computing and Communications, 2023 Paper

Book Communication and Computing in Edge-Enabled Metaverse

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, and Dusit Niyato

Published in Realizing the Metaverse: A Communications and Networking Perspective, 2024 Paper

ACM MM One-Shot-but-Not-Degraded Federated Learning

Hui Zeng, Minrui Xu, Tongqing Zhou, Xinyi Wu, Jiawen Kang, Zhiping Cai, and Dusit Niyato

Published in ACM Multimedia, 2024 Paper

ICC Workshops Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization

Ruopeng Xu, Yixuan Chen, Jiawen Kang, Minrui Xu, Zhaohui Yang, Chongwen Huang, and Niyato Dusit

Published in IEEE International Conference on Communications Workshops, 2024 Paper

GAIS Deep Reinforcement Learning Based Multi-Attribute Auction Model for Resource Allocation in Vehicular AIGC Services

Yongju Tong, Jiawen Kang, Junlong Chen, Minrui Xu, Helin Yang, Minghui Xu, Renchao Xie, and Zehui Xiong

Published in International Conference on Generative Artificial Intelligence and Information Security, 2024 Paper

ICC Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment

Chao Ren, Minrui Xu, Han Yu, Zehui Xiong, Zhenyong Zhang, and Dusit Niyato

Published in IEEE International Conference on Communications, 2024 Paper

ICOIN AI-Generated Bidding for Immersive AIGC Services in Mobile Edge-Empowered Metaverse

Zi Qin Liew, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato, and Dong In Kim

Published in International Conference on Information Networking, 2024 Paper

Preprint Delay Minimization for Movable Antennas-Enabled Anti-Jamming Communications with Mobile Edge Computing

Yue Xiu, Yang Zhao, Songjie Yang, Minrui Xu, Dusit Niyato, Yueyang Li, and Ning Wei

Published in arXiv preprint arXiv:2409.14418, 2024 Paper

ICC Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks

Yibo Lian, Tao Zhang, Changqiao Xu, Wei Dong, Minrui Xu, Zhenyu Xiahou, Jiawen Kang, Jiqiang Liu, and Dusit Niyato

Published in IEEE International Conference on Communications, 2024 Paper

Preprint Generative AI-Enabled Quantum Computing Networks and Intelligent Resource Allocation

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Yuan Cao, Yulan Gao, Chao Ren, and Han Yu

Published in arXiv preprint arXiv:2401.07120, 2024 Paper

IoTJ Efficient IoV Resource Management Through Enhanced Clustering, Matching, and Offloading in DT-Enabled Edge Computing

Xiaoming Yuan, Wenyuan Zhang, Jiayu Yang, Minrui Xu, Dusit Niyato, Qingxu Deng, and Changle Li

Published in IEEE Internet of Things Journal, 2024 Paper

ICC On-Demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks

Bingkun Lai, Jiayi He, Jiawen Kang, Gaolei Li, Minrui Xu, Shengli Xie, et al

Published in IEEE International Conference on Communications, 2024 Paper

GlobeCom Diffusion-Based Reinforcement Learning for Dynamic UAV-Assisted Vehicle Twins Migration in Vehicular Metaverses

Yongju Tong, Jiawen Kang, Junlong Chen, Minrui Xu, Gaolei Li, Weiting Zhang, and Xinyu Yan

Published in IEEE Global Communications Conference, 2024 Paper

Electronics Efficient Inference Offloading for Mixture-of-Experts Large Language Models in Internet of Medical Things

Xiaoming Yuan, Weixuan Kong, Zhenyu Luo, and Minrui Xu

Published in Electronics, 2024 Paper

GlobeCom High-Quality Trajectory Generation for Autonomous Driving: A Lightweight Federated Learning-Based Diffusion Model

Runze Gao, Jiawen Kang, Bingkun Lai, Minrui Xu, Geng Sun, Tao Zhang, Weiting Zhang, and Dusit Yang

Published in IEEE Global Communications Conference, 2024 Paper

WCM When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Dong In Kim, and Khaled B. Letaief

Published in IEEE Wireless Communications, 2024 Paper

ComMag Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Song Guo, Yuguang Fang, and Dong In Kim

Published in IEEE Communications Magazine, 2024 Paper

SWC Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse

Yahao Ding, Wen Shang, Minrui Xu, Zhaohui Yang, Ye Hu, Dusit Niyato, and Mohammad Shikh-Bahaei

Published in IEEE Smart World Congress, 2024 Paper

ICC Multiple Description Coding for Point Cloud

Anthony Chen, Shiwen Mao, Zhu Li, Minrui Xu, Hongliang Zhang, Dusit Niyato, and Zhu Han

Published in IEEE International Conference on Communications, 2024 Paper

COMST Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

Minrui Xu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Abbas Jamalipour, Dong In Kim, Xuemin Shen, et al

Published in IEEE Communications Surveys & Tutorials, 2024 Paper

TVT Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving

Wensheng Su, Zhenni Li, Minrui Xu, Jiawen Kang, Dusit Niyato, and Shengli Xie

Published in IEEE Transactions on Vehicular Technology, 2024 Paper

PIEEE Building Resilient Web 3.0 Infrastructure with Quantum Information Technologies and Blockchain: An Ambilateral View

Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Chao Qiu, Haipeng Yao, and Xiaofei Wang

Published in Proceedings of the IEEE, 2024 Paper

TSC Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services

Xiaoxu Ren, Minrui Xu, Dusit Niyato, Jiawen Kang, Chao Qiu, and Xiaofei Wang

Published in IEEE Transactions on Services Computing, 2024 Paper

JSTSP ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids

Chao Ren, Zhao Yang Dong, Han Yu, Minrui Xu, Zehui Xiong, and Dusit Niyato

Published in IEEE Journal of Selected Topics in Signal Processing, 2024 Paper

IoTJ Enhancing Federated Learning Performance on Heterogeneous IoT Devices Using Generative Artificial Intelligence with Resource Scheduling

Zezhao Meng, Zhi Li, Xiangwang Hou, Minrui Xu, Yi Xia, Zekai Zhang, and Shaoyang Song

Published in IEEE Internet of Things Journal, 2024 Paper

IoTJ Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT

Tianhao Liu, Jiqiang Liu, Tao Zhang, Jian Wang, Zhenhui Yuan, Minrui Xu, Di Zhai, Tianxi Wang, Hongyang Du, and Dusit Niyato

Published in IEEE Internet of Things Journal, 2024 Paper

IoTJ Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach

Jiawen Kang, Yue Zhong, Minrui Xu, Jiangtian Nie, Jinbo Wen, Hongyang Du, Dongdong Ye, Xumin Huang, Dusit Niyato, and Shengli Xie

Published in IEEE Internet of Things Journal, 2024 Paper

JAS UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

Jiawen Kang, Junlong Chen, Minrui Xu, Zehui Xiong, Yutao Jiao, Luchao Han, Dusit Niyato, Yongju Tong, and Shengli Xie

Published in IEEE/CAA Journal of Automatica Sinica, 2024 Paper

TCOM Multi-Agent DDPG Based Resource Allocation in NOMA-Enabled Satellite IoT

Furong Chai, Qi Zhang, Haipeng Yao, Xiangjun Xin, Fu Wang, Minrui Xu, Zehui Xiong, and Dusit Niyato

Published in IEEE Transactions on Communications, 2024 Paper

TVT Identifier-Driven Resource Orchestration with Quantum Computing for Differentiated Services in IoT-MMEC Networks

Zhengyang Ai, Weiting Zhang, Jiawen Kang, Minrui Xu, Dusit Niyato, and Stephen John Turner

Published in IEEE Transactions on Vehicular Technology, 2024 Paper

ICC Movable Antenna-Aided Federated Learning with over-the-Air Aggregation: Joint Optimization of Positioning, Beamforming, and User Selection

Yang Zhao, Yue Xiu, Minrui Xu, and Ning Wei

Published in IEEE International Conference on Communications, 2025 Paper

ICC Adaptive AUV Hunting Policy with Covert Communication via Diffusion Model

Xu Guo, Xiangwang Hou, Minrui Xu, Jianrui Chen, Jingjing Wang, Jun Du, and Yong Ren

Published in IEEE International Conference on Communications, 2025 Paper

Preprint Forewarned Is Forearmed: A Survey on Large Language Model-Based Agents in Autonomous Cyberattacks

Minrui Xu, Jiani Fan, Xinyu Huang, Conghao Zhou, Jiawen Kang, Dusit Niyato, Shiwen Mao, Zhu Han, Xuemin (Sherman) Shen, and Kwok-Yan Lam

Published in submitted to ACM Computing Surveys, under Major Revision, 2025 Paper

TMC A QoE-Driven Personalized Incentive Mechanism Design for AIGC Services in Resource-Constrained Edge Networks

Hongjia Wu, Minrui Xu, Zehui Xiong, Lin Gao, Haoyuan Pan, Dusit Niyato, and Tse-Tin Chan

Published in IEEE Transactions on Mobile Computing, 2025 Paper

Preprint Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, Yuguang Fang, Dong In Kim, et al

Published in submitted to IEEE Transactions on Cognitive Communications and Networking, under Minor Revision, 2025 Paper

Preprint Hybrid Reinforcement Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing

Minrui Xu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Mingzhe Chen, Dong In Kim, et al

Published in submitted to IEEE Transactions on Network and Service Management, under Major Revision, 2025 Paper

TCCN Multi-Attribute Auction-Based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-Based DRL Approach

Yongju Tong, Junlong Chen, Minrui Xu, Jiawen Kang, Zehui Xiong, Dusit Niyato, Chau Yuen, and Zhu Han

Published in IEEE Transactions on Cognitive Communications and Networking, 2025 Paper

Preprint Shadow Wireless Intelligence: Large Language Model-Driven Reasoning in Covert Communications

Yuanai Xie, Zhaozhi Liu, Xiao Zhang, Shihua Zhang, Rui Hou, Minrui Xu, Ruichen Zhang, and Dusit Niyato

Published in arXiv preprint arXiv:2505.04068, 2025 Paper

TNNLS Toward Quantum Federated Learning

Chao Ren, Rudai Yan, Huihui Zhu, Han Yu, Minrui Xu, Yuan Shen, Yan Xu, Ming Xiao, Zhao Yang Dong, Mikael Skoglund, et al

Published in IEEE Transactions on Neural Networks and Learning Systems, 2025 Paper

SCIS Diffusion-Based Auction Mechanism for Efficient Resource Management in 6G-Enabled Vehicular Metaverses

Jiawen Kang, Yongju Tong, Yue Zhong, Junlong Chen, Minrui Xu, Dusit Niyato, Runrong Deng, and Shiwen Mao

Published in Science China Information Sciences, 2025 Paper

Preprint Fluid Antenna Enabled over-the-Air Federated Learning: Joint Optimization of Positioning, Beamforming, and User Selection

Yang Zhao, Minrui Xu, Ping Wang, and Dusit Niyato

Published in arXiv preprint arXiv:2503.00011, 2025 Paper

TSC pFedCal: Lightweight Personalized Federated Learning with Adaptive Calibration Strategy

Dongshang Deng, Xuangou Wu, Tao Zhang, Chaocan Xiang, Wei Zhao, Minrui Xu, Jiawen Kang, Zhu Han, and Dusit Niyato

Published in IEEE Transactions on Services Computing, 2025 Paper

TMC Efficient Twin Migration in Vehicular Metaverses: Multi-Agent Split Deep Reinforcement Learning with Spatio-Temporal Trajectory Generation

Junlong Chen, Jiawen Kang, Minrui Xu, Fan Wu, Hongliang Zhang, Huawei Huang, Dusit Niyato, and Shiwen Mao

Published in IEEE Transactions on Mobile Computing, 2025 Paper

ToN Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-Air-Ground Integrated Networks

Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, and Zhu Han

Published in IEEE Transactions on Networking, 2026 Paper

Preprint CovertComBench: The First Domain-Specific Testbed for LLMs in Wireless Covert Communication

Zhaozhi Liu, Jianrui Chen, Yuanai Xie, Yuan Jiang, Minrui Xu, Xiao Zhang, Peng Lai, and Zhenyu Zhou

Published in arXiv preprint arXiv:2601.18315, 2026 Paper

ToN Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-Based Model Caching and Inference Offloading

Minrui Xu, Dusit Niyato, and Christopher G Brinton

Published in IEEE Transactions on Networking, 2026 Paper

Minrui Xu

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publications

IoTJ NOMA-Enabled Cooperative Computation Offloading for Blockchain-Empowered Internet of Things: A Learning Approach

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

IoTJ Multiagent Federated Reinforcement Learning for Secure Incentive Mechanism in Intelligent Cyber–Physical Systems

Preprint Holographic-Type Communication for Digital Twin: A Learning-Based Auction Approach

Preprint Optimal Stochastic Resource Allocation for Distributed Quantum Computing

GlobeCom Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning

CAMAD Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks

GlobeCom Performance Analysis of Jammer-Aided Covert RIS-NOMA Systems

JSTSP Privacy-Preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet

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

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

JSAC Compact Learning Model for Dynamic Off-Chain Routing in Blockchain-Based IoT

TNSE Communication-Efficient and Cross-Chain Empowered Federated Learning for Artificial Intelligence of Things

Book Edge Computing Technologies for Metaverse

Preprint Cost-Effective Task Offloading Scheduling for Hybrid Mobile Edge-Quantum Computing

Preprint Elastic Entangled Pair and Qubit Resource Management in Quantum Cloud Computing

GlobeCom Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach

ICDCSW Learning-Based Incentive Mechanism for Task Freshness-Aware Vehicular Twin Migration

VTC Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement

GlobeCom Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence

MetaCom Generative AI-Empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse

ICC Learning-Based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing

ICCC Freshness-Aware Incentive Mechanism for Mobile AI-Generated Content (AIGC) Networks

BSC Entangled Pair Resource Allocation under Uncertain Fidelity Requirements

ICNC Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning

NOMS Stochastic Qubit Resource Allocation for Quantum Cloud Computing

MetaCom Joining Edge-Enabled Metaverse Services with Network Externality: A Stackelberg Game Approach

TMM Learning-Based Auction for Matching Demand and Supply of Holographic Digital Twin over Immersive Communications

VTC A Learning-Based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles

Network When Quantum Information Technologies Meet Blockchain in Web 3.0

WWW Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses

VTM Sparks of Generative Pretrained Transformers in Edge Intelligence for the Metaverse: Caching and Inference for Mobile Artificial Intelligence-Generated Content Services

JSAC Epvisa: Efficient Auction Design for Real-Time Physical-Virtual Synchronization in the Human-Centric Metaverse

JSTSP Generative AI-Empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses

COMST A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges

IoTJ Qfdsa: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment

ComMag DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks

GetMobile An Overview of 3GPP Standardization for Extended Reality (XR) in 5G and Beyond

TVT Mechanism Design for Semantic Communication in UAV-Assisted Metaverse: A Combinatorial Auction Approach

IoTJ Cooperative Resource Management in Quantum Key Distribution (QKD) Networks for Semantic Communication

Network AI-Generated Network Design: A Diffusion Model-Based Learning Approach

TVT Decentralized Multimedia Data Sharing in IoV: A Learning-Based Equilibrium of Supply and Demand

TMC Performance Analysis and Power Allocation for Covert Mobile Edge Computing with RIS-Aided NOMA

IoTJ Multiagent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-Enabled Vehicular Metaverses with Trajectory Prediction

GetMobile An Introduction to Point Cloud Compression Standards

Book Communication and Computing in Edge-Enabled Metaverse

ACM MM One-Shot-but-Not-Degraded Federated Learning

ICC Workshops Fluid Antenna Relay Assisted Communication Systems Through Antenna Location Optimization

GAIS Deep Reinforcement Learning Based Multi-Attribute Auction Model for Resource Allocation in Vehicular AIGC Services

ICC Variational Quantum Circuit and Quantum Key Distribution-Based Quantum Federated Learning: A Case of Smart Grid Dynamic Security Assessment

ICOIN AI-Generated Bidding for Immersive AIGC Services in Mobile Edge-Empowered Metaverse

Preprint Delay Minimization for Movable Antennas-Enabled Anti-Jamming Communications with Mobile Edge Computing

ICC Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks

Preprint Generative AI-Enabled Quantum Computing Networks and Intelligent Resource Allocation

IoTJ Efficient IoV Resource Management Through Enhanced Clustering, Matching, and Offloading in DT-Enabled Edge Computing

ICC On-Demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks

GlobeCom Diffusion-Based Reinforcement Learning for Dynamic UAV-Assisted Vehicle Twins Migration in Vehicular Metaverses

Electronics Efficient Inference Offloading for Mixture-of-Experts Large Language Models in Internet of Medical Things

GlobeCom High-Quality Trajectory Generation for Autonomous Driving: A Lightweight Federated Learning-Based Diffusion Model

WCM When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment

ComMag Generative AI-Enabled Mobile Tactical Multimedia Networks: Distribution, Generation, and Perception

SWC Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse

ICC Multiple Description Coding for Point Cloud

COMST Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

TVT Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving

PIEEE Building Resilient Web 3.0 Infrastructure with Quantum Information Technologies and Blockchain: An Ambilateral View

TSC Paramart: Parallel Resource Allocation Based on Blockchain Sharding for Edge-Cloud Services

JSTSP ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids

IoTJ Enhancing Federated Learning Performance on Heterogeneous IoT Devices Using Generative Artificial Intelligence with Resource Scheduling

IoTJ Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT

IoTJ Tiny Multiagent DRL for Twins Migration in UAV Metaverses: A Multileader Multifollower Stackelberg Game Approach

JAS UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

TCOM Multi-Agent DDPG Based Resource Allocation in NOMA-Enabled Satellite IoT

TVT Identifier-Driven Resource Orchestration with Quantum Computing for Differentiated Services in IoT-MMEC Networks