By Dr Wei Ni

Preprints

Yu X; Lv T; Li W; Ni W; Niyato D; Hossain E, 2025, Multi-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction, http://dx.doi.org/10.48550/arxiv.2501.02006

Emami Y; Li K; Almeida L; Zou S; Ni W, 2024, On the Use of Immersive Digital Technologies for Designing and Operating UAVs, http://dx.doi.org/10.48550/arxiv.2407.16288

Cao Y; Tan J; Wang J; Ni W; Hossain E; Niyato D, 2024, Channel Twinning: An Enabler for Next-Generation Ubiquitous Wireless Connectivity, http://dx.doi.org/10.48550/arxiv.2406.12268

Li W; Lv T; Ni W; Zhao J; Hossain E; Poor HV, 2024, Decentralized Federated Learning Over Imperfect Communication Channels, http://dx.doi.org/10.48550/arxiv.2405.12894

Jin X; Lv T; Ni W; Lin Z; Zhu Q; Hossain E; Poor HV, 2024, A Reconfigurable Subarray Architecture and Hybrid Beamforming for Millimeter-Wave Dual-Function-Radar-Communication Systems, http://dx.doi.org/10.48550/arxiv.2404.15750

Li K; Yuan X; Zheng J; Ni W; Dressler F; Jamalipour A, 2024, Leverage Variational Graph Representation For Model Poisoning on Federated Learning, http://dx.doi.org/10.48550/arxiv.2404.15042

Wan Y; Qu Y; Ni W; Xiang Y; Gao L; Hossain E, 2023, Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey, http://dx.doi.org/10.48550/arxiv.2312.08667

Li K; Zheng J; Yuan X; Ni W; Akan OB; Poor HV, 2023, Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach, http://dx.doi.org/10.48550/arxiv.2311.18498

Gong Z; Hashash O; Wang Y; Cui Q; Ni W; Saad W; Sakaguchi K, 2023, UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks, http://dx.doi.org/10.48550/arxiv.2312.00334

Hu S; Yuan X; Ni W; Wang X; Hossain E; Poor HV, 2023, OFDMA-F$^2$L: Federated Learning With Flexible Aggregation Over an OFDMA Air Interface, http://dx.doi.org/10.48550/arxiv.2311.15141

Li K; Lau BPL; Yuan X; Ni W; Guizani M; Yuen C, 2023, Towards Ubiquitous Semantic Metaverse: Challenges, Approaches, and Opportunities, http://dx.doi.org/10.48550/arxiv.2307.06687

Xiao B; Yu X; Ni W; Wang X; Poor HV, 2023, Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions, http://dx.doi.org/10.48550/arxiv.2307.00974

Qu Y; Yuan X; Ding M; Ni W; Rakotoarivelo T; Smith D, 2023, Learn to Unlearn: A Survey on Machine Unlearning, http://dx.doi.org/10.48550/arxiv.2305.07512

Wang Y; Sun T; Li S; Yuan X; Ni W; Hossain E; Poor HV, 2023, Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey, http://dx.doi.org/10.48550/arxiv.2303.06302

Yuan X; Ni W; Ding M; Wei K; Li J; Poor HV, 2023, Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning, http://dx.doi.org/10.48550/arxiv.2303.04274

Yuan X; Hu S; Ni W; Liu RP; Wang X, 2023, Learning-based Intelligent Surface Configuration, User Selection, Channel Allocation, and Modulation Adaptation for Jamming-resisting Multiuser OFDMA Systems, http://dx.doi.org/10.48550/arxiv.2301.06223

ashtarinakhaei S; Abolhasan M; Lipman J; Shariati N; Ni W; Jamalipour A, 2023, A Location-Based Multi-Hop Routing Protocol for Future Wireless Cellular Networks, http://dx.doi.org/10.2139/ssrn.4380644

Kurunathan H; Huang H; Li K; Ni W; Hossain E, 2022, Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey, http://dx.doi.org/10.48550/arxiv.2211.04324

Li K; Cui Y; Li W; Lv T; Yuan X; Li S; Ni W; Simsek M; Dressler F, 2022, When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds, http://dx.doi.org/10.48550/arxiv.2208.13501

Zheng J; Tian H; Ni W; Ni W; Zhang P, 2022, Balancing Accuracy and Integrity for Reconfigurable Intelligent Surface-aided Over-the-Air Federated Learning, http://dx.doi.org/10.48550/arxiv.2207.08057

Zheng J; Li K; Mhaisen N; Ni W; Tovar E; Guizani M, 2022, Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT, http://dx.doi.org/10.48550/arxiv.2202.07391

Wang Y; Li S; Ni W; Abbott D; Johnson M; Pei G; Hedley M, 2021, Three-dimensional Cooperative Localization of Commercial-Off-The-Shelf Sensors, http://dx.doi.org/10.48550/arxiv.2111.02040

Cao Y; Lv T; Ni W; Lin Z, 2021, Sum-Rate Maximization for Multi-Reconfigurable Intelligent Surface-Assisted Device-to-Device Communications, http://dx.doi.org/10.48550/arxiv.2108.07091

Wang X; Ni W; Zha X; Yu G; Liu RP; Georgalas N; Reeves A, 2021, Capacity Analysis of Public Blockchain, http://dx.doi.org/10.48550/arxiv.2106.14149

Wang S; Lv T; Ni W; Beaulieu NC; Guo YJ, 2021, Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach, http://dx.doi.org/10.48550/arxiv.2103.15371

Wang Z; Lin Z; Lv T; Ni W, 2021, Energy-Efficient Resource Allocation in Massive MIMO-NOMA Networks with Wireless Power Transfer: A Distributed ADMM Approach, http://dx.doi.org/10.48550/arxiv.2103.13146

Lin Z; Lv T; Ni W; Zhang JA; Zeng J; Liu RP, 2021, Joint Estimation of Multipath Angles and Delays for Millimeter-Wave Cylindrical Arrays with Hybrid Front-ends, http://dx.doi.org/10.48550/arxiv.2102.10746

Hu S; Ni W; Wang X; Jamalipour A; Ta D, 2020, Joint Optimization of Trajectory, Propulsion and Thrust Powers for Covert UAV-on-UAV Video Tracking and Surveillance, http://dx.doi.org/10.48550/arxiv.2012.11887

Lin Z; Lv T; Ni W; Zhang JA; Liu RP, 2020, Tensor-based Multi-dimensional Wideband Channel Estimation for mmWave Hybrid Cylindrical Arrays, http://dx.doi.org/10.48550/arxiv.2009.04684

Zhang X; Lv T; Ren Y; Ni W; Beaulieu NC, 2020, Analysis and Optimization of Service Delay for Multi-quality Videos in Multi-tier Heterogeneous Network with Random Caching, http://dx.doi.org/10.48550/arxiv.2007.10633

Lin Z; Lv T; Ni W; Zhang JA; Liu RP, 2020, Nested Hybrid Cylindrical Array Design and DoA Estimation for Massive IoT Networks, http://dx.doi.org/10.48550/arxiv.2007.10155

Yuan X; Feng Z; Zhang JA; Ni W; Liu RP; Wei Z; Xu C, 2020, Waveform Optimization for MIMO Joint Communication and Radio Sensing Systems with Training Overhead, http://dx.doi.org/10.48550/arxiv.2002.00338

Hu S; Chen X; Ni W; Wang X; Hossain E, 2019, Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey, http://dx.doi.org/10.48550/arxiv.1912.13203

Cao Y; Lv T; Lin Z; Ni W, 2019, Delay-Constrained Joint Power Control, User Detection and Passive Beamforming in Intelligent Reflecting Surface Assisted Uplink mmWave System, http://dx.doi.org/10.48550/arxiv.1912.10030

Li K; Ni W; Emami Y; Shen Y; Severino R; Pereira D; Tovar E, 2019, Design and Implementation of Secret Key Agreement for Platoon-based Vehicular Cyber-Physical Systems, http://dx.doi.org/10.48550/arxiv.1911.07617

Cao Y; Lv T; Ni W, 2019, Intelligent Reflecting Surface Aided Multi-User Millimeter-Wave Communications for Coverage Enhancement, http://dx.doi.org/10.48550/arxiv.1910.02398

Li K; Ni W; Tovar E, 2019, On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection, http://dx.doi.org/10.48550/arxiv.1906.07064

Zhang X; Lv T; Ni W; Cioffi JM; Beaulieu NC; Guo YJ, 2018, Energy-Efficient Caching for Scalable Videos in Heterogeneous Networks, http://dx.doi.org/10.48550/arxiv.1805.11875

Chen X; Ni W; Chen T; Collings IB; Wang X; Liu RP; Giannakis GB, 2018, Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining, http://dx.doi.org/10.48550/arxiv.1804.07051

Li K; Ni W; Tovar E; Guizani M, 2018, LCD: Low Latency Command Dissemination for A Platoon of Vehicles, http://dx.doi.org/10.48550/arxiv.1801.06153

Cui Q; Zhang Y; Ni W; Valkama M; Jantti R, 2018, Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power, http://dx.doi.org/10.48550/arxiv.1801.01709

Li K; Ni W; Duan L; Abolhasan M; Niu J, 2017, Wireless Power Transfer and Data Collection in Wireless Sensor Networks, http://dx.doi.org/10.48550/arxiv.1711.02044

Chen X; Wang X; Ni W; Collings IB, 2017, Two-Way Energy Trading and Online Planning for Fifth-Generation Communications with Renewables, http://dx.doi.org/10.48550/arxiv.1710.00151

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