Interactive AI With Retrieval-Augmented Generation for Next Generation Networking

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Li, Z., Liu, F., Yang, W., Peng, S., & Zhou, J. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3084827 · Cited by 5,273 · cited 1×

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · UCL Discovery (University College London) · Cited by 1,187

The Rise and Potential of Large Language Model Based Agents: A Survey

Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2023) · arXiv · doi:10.48550/arxiv.2309.07864 · Cited by 972

The rise and potential of large language model based agents: a survey

Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., et al. (2025) · Science China Information Sciences · doi:10.1007/s11432-024-4222-0 · Cited by 970

Artificial intelligence: a survey on evolution, models, applications and future trends

Lu, Y. (2019) · Journal of Management Analytics · doi:10.1080/23270012.2019.1570365 · Cited by 641

Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT

Chen, Z., Chen, D., Zhang, X., Yuan, Z., & Cheng, X. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3100509 · Cited by 638

Automatic Steganographic Distortion Learning Using a Generative Adversarial Network

Tang, W., Tan, S., Li, B., & Huang, J. (2017) · IEEE Signal Processing Letters · doi:10.1109/lsp.2017.2745572 · Cited by 433

Transitioning to Human Interaction with AI Systems: New Challenges and Opportunities for HCI Professionals to Enable Human-Centered AI

Xu, W., Dainoff, M. J., Ge, L., & Gao, Z. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2041900 · Cited by 363

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

Du, H., Zhang, R., Liu, Y., Wang, J., Lin, Y., Li, Z., Niyato, D. T., Kang, J., Xiong, Z., Cui, S. R., et al. (2024) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3400011 · Cited by 315

Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach

Zhang, R., Xiong, K., Lu, Y., Fan, P., Ng, D. W. K., & Letaief, K. B. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3240707 · Cited by 297

Generative AI Agents With Large Language Model for Satellite Networks via a Mixture of Experts Transmission

Zhang, R., Du, H., Liu, Y., Niyato, D. T., Kang, J., Xiong, Z., Jamalipour, A., & Kim, D. I. (2024) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2024.3459037 · Cited by 277

Toward Edge General Intelligence With Agentic AI and Agentification: Concepts, Technologies, and Future Directions

Zhang, R., Liu, G., Liu, Y., Zhao, C., Wang, J., Xu, Y., Niyato, D. T., Kang, J., Li, Y., Mao, S., et al. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3651702 · Cited by 114

Generative AI for Advanced UAV Networking

Sun, G., Xie, W., Niyato, D. T., Du, H., Kang, J., Wu, J., Sun, S., & Zhang, P. (2024) · IEEE Network · doi:10.1109/mnet.2024.3494862 · Cited by 67

Embodied AI-Enhanced Vehicular Networks: An Integrated Vision Language Models and Reinforcement Learning Method

Zhang, R., Zhao, C., Du, H., Niyato, D. T., Wang, J., Sawadsitang, S., Shen, X., & Kim, D. I. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3582864 · Cited by 74

Large Language Models for Zero Touch Network Configuration Management

Lira, O. G., Rendón, O. M. C., & da Fonseca, N. L. S. (2024) · IEEE Communications Magazine · doi:10.1109/mcom.001.2400368 · Cited by 61

Ultra-Wideband Nonstationary Channel Modeling for UAV-to-Ground Communications

Hua, B., Han, L., Zhu, Q., Wang, C., Mao, K., Bao, J., Chang, H., & Tang, Z. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3537766 · Cited by 52

Toward Edge General Intelligence With Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Luo, H., Liu, Y., Zhang, R., Wang, J., Sun, G., Niyato, D. T., Yu, H., Xiong, Z., Wang, X., & Shen, X. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3612760 · Cited by 68

Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking

Zhang, R., Tang, S., Liu, Y., Niyato, D. T., Xiong, Z., Sun, S., Mao, S., & Han, Z. (2025) · IEEE Communications Magazine · doi:10.1109/mcom.001.2500073 · Cited by 52

Let RFF do the talking: large language model enabled lightweight RFFI for 6G edge intelligence

Gao, N., Liu, Y., Zhang, Q., Li, X., & Jin, S. (2025) · Science China Information Sciences · doi:10.1007/s11432-024-4463-0 · Cited by 47

A Survey on Intelligent Predictive Maintenance (IPdM) in the Era of Fully Connected Intelligence

Zhu, T., Ran, Y., Zhou, X., & Wen, Y. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3567802 · Cited by 47

Hybrid RAG-Empowered Multimodal LLM for Secure Data Management in Internet of Medical Things: A Diffusion-Based Contract Approach

Cheng, S., Wen, J., Kang, J., Wang, Y., Su, Y., Pan, H., Zhong, Z., & Hossain, M. S. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3521425 · Cited by 40

Generative AI-based spatiotemporal resilience, green and low-carbon transformation strategy of smart renewable energy systems

Dui, H., Zeng, Q., & Xie, M. (2025) · Frontiers of Engineering Management · doi:10.1007/s42524-025-4147-6 · Cited by 39

Survey on Near-Space Information Networks: Channel Modeling, Transmission, and Networking Perspectives

Cao, X., Su, X., Yang, P., Gao, Y., Wu, D. O., & Quek, T. Q. S. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3549523 · Cited by 36

Generative AI Meets Wireless Networking: An Interactive Paradigm for Intent-Driven Communications

Qin, X., Sun, M., Dai, J., Ma, P., Cao, Y., Zhang, J., Wang, J., Xu, X., Zhang, P., & Niyato, D. T. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3567613 · Cited by 36

Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models

Wen, J., Zhang, R., Niyato, D. T., Kang, J., Du, H., Zhang, Y., & Han, Z. (2024) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2400074 · Cited by 31

Secure Physical Layer Communications for Low-Altitude Economy Networking: A Survey

Cai, L., Wang, J., Zhang, R., Zhang, Y., Jiang, T., Niyato, D., Wang, X., Jamalipour, A., & Shen, X. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3634768 · Cited by 31

Aerial Active STAR-RIS-Aided IoT NOMA Networks

Zhao, J., Xu, Q., Mu, X., Liu, Y., & Zhu, Y. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3531557 · Cited by 26

Deep Learning Approaches for Anti-Money Laundering on Mobile Transactions: Review, Framework, and Directions

Fan, J., Shar, L. K., Zhang, R., Liu, Z., Yang, W., Niyato, D. T., & Lam, K.-Y. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3653434 · Cited by 33

A Review of Continual Learning in Edge AI

Wu, B., Ding, Z., & Huang, J. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3657652 · Cited by 26

STAR-RIS Enabled ISAC Systems With RSMA: Joint Rate Splitting and Beamforming Optimization

Liu, Y., Zhang, R., Jiang, R., Zhu, Y., Hu, H., Ni, Q., Fei, Z., & Niyato, D. T. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3558016 · Cited by 25

Generative AI-Enabled Quantum Encryption Algorithm for Securing IoT-Based Healthcare Application Using Blockchain

Prajapat, S., Kumar, P., Das, A. K., & Muhammad, G. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3555159 · Cited by 23

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches

Gao, X., Wang, Y., Liu, B., Zhou, X., Zhang, R., Wang, J., Niyato, D. T., Kim, D. I., Jamalipour, A., Yuen, C., et al. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3660854 · Cited by 21

Generative AI-Empowered Secure Communications in Space–Air–Ground Integrated Networks: A Survey and Tutorial

Hu, C., Zhang, R., Li, B., Jiang, X., Zhao, N., Renzo, M. D., Niyato, D. T., Nallanathan, A., & Karagiannidis, G. K. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3646700 · Cited by 20

Generalized Pinching-Antenna Systems: A Tutorial on Principles, Design Strategies, and Future Directions

Xu, Y., Cui, J., Zhu, Y., Ding, Z., Chang, T., Schober, R., Wong, V. W. S., Dobre, O. A., Karagiannidis, G. K., Poor, H. V., et al. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3674222 · Cited by 20

Integration of Generative AI and Mobile Networking: A Comprehensive Survey

Li, J., He, M., Zhou, C., Huang, X., Liu, Z., Zhao, L. Y., Wang, C., & Wu, H. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3639401 · Cited by 19

Beauty or the Borg: Agentic artificial intelligence organizational socialization in synergistic Hybrid Transformative Dynamic Flows

Stylos, N., Okumus, F., & Onder, I. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105205 · Cited by 18

An organizational theory for multi-agent interactions integrating human agents, LLMs, and specialized AI

Borghoff, U. M., Bottoni, P., & Pareschi, R. (2025) · Discover Computing · doi:10.1007/s10791-025-09667-2 · Cited by 25

TeleOracle: Fine-Tuned Retrieval-Augmented Generation With Long-Context Support for Networks

Alabbasi, N., Erak, O., Alhussein, O., Lotfi, I., Muhaidat, S., & Debbah, M. A. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3553161 · Cited by 17

UAV Individual Identification via Distilled RF Fingerprints-Based LLM in ISAC Networks

Zheng, H., Gao, N., Cai, D., Jin, S., & Matthaiou, M. (2025) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2025.3603423 · Cited by 16

Generative AI-Aided Multimodal Parallel Offloading for AIGC Metaverse Service in IoT Networks

Zeng, W., Zheng, J., Gao, L. C., Niu, J., Ren, J., Wang, H., Cao, R., & Ji, S. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3535623 · Cited by 16

Channel Modeling and Performance Analysis for RIS-Assisted mmWave Communications

Ling, L., Lian, Z., Ma, Z., Zhang, L., & Su, Y. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3478210 · Cited by 15

Age of Information Optimization in Laser-Charged UAV-Assisted IoT Networks: A Multi-Agent Deep Reinforcement Learning Method

Sun, G., Zhang, L., Li, J., Wu, J., Wang, J., Sun, Z., Zhao, C., & Leung, V. C. M. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3596172 · Cited by 13

Robust Trajectory Design and Task Scheduling With Data Compression in Industrial Internet of Things Assisted by UAV

Li, B., Zhu, X., & Wang, J. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3522127 · Cited by 13

A Novel A2A Channel Model Incorporating Rooftop Specular Reflection and Airframe Occlusion

Hua, B., Deng, Q., Zhu, Q., Wang, C., Han, L., Briso-Rodríguez, C., Tang, Z., & Mao, K. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3569066 · Cited by 13

AI-Based Speaking Assistant: Supporting Non-Native Speakers' Speaking in Real-Time Multilingual Communication

Qin, P., Zhu, Z., Yamashita, N., Yang, Y., Suga, K., & Lee, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757455 · Cited by 17

Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey

Xu, Y., Wang, J., Zhang, R., Zhao, C., Niyato, D. T., Kang, J., Xiong, Z., Qian, B., Zhou, H., Mao, S., et al. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2025.3641591 · Cited by 15

SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot

Wu, J., Liang, X., Bai, X., & Chen, Z. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825748 · Cited by 15

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework

Lin, Y., Zhang, R., Huang, W., Wang, K., Ding, Z., So, D. K. C., & Niyato, D. T. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3597815 · Cited by 11

Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

Erak, O., Alabbasi, N., Alhussein, O., Lotfi, I., Hussein, A., Muhaidat, S., & Debbah, M. A. (2024) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshp64532.2024.11100917 · Cited by 18

Energy-Efficient Trajectory Design and Unsupervised Clustering for AAV-Aided Fair Data Collections With Dense Ground Users

Song, D., Zhai, X., Liu, X., Liu, Z., Tan, C. W., & Li, C. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3569270 · Cited by 9

Large Model Empowered Task Offloading for Multi- Access Edge Computing in the Internet of Vehicles

Zhou, X., Guan, X., Wang, N., Chen, H., Ohtsuki, T. O., Zhang, Y., & Han, Z. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3579490 · Cited by 9

Joint Scheduling and Power Control in AoI-Oriented WP-IoT Networks: An HVF-Based PPO Approach

Hu, H., Tang, H., Zhang, R., Jiang, F., Ding, Z., & Niyato, D. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3618111 · Cited by 7

Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework

Li, H., Kang, H., Liu, C., Wang, R., Li, J., Sun, G., Wang, J., Liang, S., & Mao, S. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3649259 · Cited by 7

Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Networks (LAWN)

Li, J., Ma, Y., Ai, B., Yuan, W., Cheng, Q., Ma, G., Yang, M., Lu, Y., Yue, W., & Zhangdui, Z. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3620011 · Cited by 6

Resilient Image Semantic Communication Based on Rate-Optimized Information Bottleneck Theory

Wang, W., Wang, C., Zhang, Z., Xu, W., Zhang, P., Jiang, F., Xu, J., Cai, Y., Pang, M., Xu, L., et al. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3626331 · Cited by 6

Cross-Modal Generative Semantic Communications Powered by Semantic Knowledge Base

Fang, Z., Sun, M., Wang, S., Xu, X., Gao, H., Huang, J., Han, S., & Zhang, P. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3650269 · Cited by 6

Geometry-Based Stochastic MIMO Channel Model for Near-Field and Far-Field Scenarios of Integrated Sensing and Communications

Jin, Y., He, R., Ai, B., Yuan, Y., Niu, Y., & Zhang, H. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3529866 · Cited by 6

Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN

Sun, Y., Zhou, H., Yu, K. P., Xu, Y., Qian, B., & Cai, L. X. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3604331 · Cited by 6

An Elastic Coding and Decoding Method for Satellite Remote Sensing Image Semantic Transmission

Zhang, Z., Zhang, S., Li, H., Shi, G., Xue, J., & Li, B. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3632547 · Cited by 5

Secure Multi-Party Learning: Fundamentals, Frameworks, State of the Art, Trends, and Challenges

Li, Y., Wang, Y., Fan, Q., Pan, Z., Wu, Y. X., Zhang, Z., Zhu, L., & Zhou, W. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3566140 · Cited by 6

IAAE-Stega: Generic Blockchain-Based Steganography Framework via Invertible Adversarial Autoencoder

Yuan, X., Sun, J., Chen, Z., Zhang, C., Li, M., Zhang, Z., & Zhu, L. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3577778 · Cited by 5

An Adaptive Secure Identity-Based Signcryption With Equality Test for High-Speed Railway Train–Ground Communication

Du, J., Ai, B., Liang, J., Liu, S., Lu, Y., & Shao, B. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3605157 · Cited by 5

Toward AGI-Enabled Solutions for IoX Layers Bottlenecks in Cyber–Physical–Social-Thinking Space

Khelloufi, A., Ning, H., Dhelim, S., & Ding, J. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3680236 · Cited by 5

Large language model empowered next-generation MIMO networks: fundamentals, challenges, and visions

Wang, Z., Zhang, J., Du, H., Zhang, R., Niyato, D. T., Ai, B., & Letaief, K. B. (2026) · Digital Communications and Networks · doi:10.1016/j.dcan.2025.12.005 · Cited by 5

EdgeNetLLM: Cloud–Edge Collaborative Adaptation of Large Language Models for Mobile Networking

Zheng, X., Li, Y., Zheng, B., Zhang, C., & Zhu, L. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3624100 · Cited by 4

GAI-Enabled Task-Driven Semantic Communication for Surveillance Video

Chen, M., Ma, W., Wang, L., Bazzi, W. M., Wang, K., & Mumtaz, S. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3649653 · Cited by 4

RAIFE-Net: A Region-Aware Implicit Feature Extraction Network for Acupoint Detection

He, Z., He, Z., Guo, J., Wang, X., Lin, Z., Liang, H., Zhang, L., Pan, X., & Geng, L. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3651332 · Cited by 4

LLM-Driven Approach for Safe and Secure Network Management by Design in IoT-Based Systems

Petrović, N., Krstic, D. S., & Głąbowski, M. (2026) · Symmetry · doi:10.3390/sym18020337 · Cited by 4

Back to the future – from nuclear energy to AI

Dinov, I. D. (2025) · AI Perspectives & Advances · doi:10.1186/s42467-025-00017-y · Cited by 4

ForenSiX: Automated Network Forensics and Diagnostics for Beyond-5G and 6G Networks Using Large Language Models

Huang, X., Xue, K., Chen, L., Han, J., Li, J., & Wei, D. S. L. (2025) · IEEE Network · doi:10.1109/mnet.2025.3579925 · Cited by 4

Intelligent UAV Base Station Placement with Generative AI and Retrieval-Augmented LLMs

Afzal, M., Guo, S., & Saeed, N. (2025) · IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT) · doi:10.1109/iwrfat65352.2025.11103391 · Cited by 4

QoE-Aware User Allocation in NOMA-Enabled MEC Systems: A Distributed Game-Theoretical Approach

Yang, Y., Chen, Y., Hu, J., Cui, Z., Huang, J., & Zhao, L. Y. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3605977 · Cited by 4

Multi-Scenario Cloud–Edge Collaborative DDoS Detection in LLM-Enabled AIoT

Huang, A., Yan, J., Fan, X., & Zhou, H. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3637740 · Cited by 4

Double-IRS Auxilary mmWave Near-Field Communications: Channel Modeling and Performance Analysis

Dong, E., Lian, Z., Wang, Y., Li, Y., Su, Y., Wang, B., & Ling, L. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3530475 · Cited by 4

Network Security Management in Heterogeneous Networks

Zhang, T., Tang, X., Wang, J., & Liu, J. (2025) · Electronics · doi:10.3390/electronics14030568 · Cited by 4

From AI adoption to underperformance? Investigating the impact of interactive AI tools on student outcomes in higher education

Castro-Lopez, A., El Abed, M., Cervero, A., & Álvarez-Blanco, L. (2026) · European Journal of Higher Education · doi:10.1080/21568235.2026.2620686 · Cited by 3

Generative Coflow Scheduling for Cross-Silo Federated Large Language Models Synchronization in Computing Power Networks

Shang, X., Gao, D., Yang, D., Zhang, W., & Zhang, H. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3627637 · Cited by 3

Hybrid AI-driven optimization for real-time 6G ad hoc communications using fluid antenna systems

Ar-Reyouchi, E. M., Sadek, A. H., Ghoumid, K., Hage‐Ali, S., & Elmazria, O. (2025) · Physical Communication · doi:10.1016/j.phycom.2025.102948 · Cited by 3

Defending Backdoor Attacks in Task-Oriented Multi-User Semantic Communication: A Contrastive Training Approach

Peng, J., Xing, H., Xu, L., Luo, S., Dai, P., Feng, L., Ale, L., Zhao, B., & Xiao, Z. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3666663 · Cited by 3

Diffusion-DDPG: An Edge Intelligence Offloading Algorithm Empowering Agentic AI for Autonomous Decision-Making

Yuan, X., Wang, S., Wang, A., Zhang, N., Ye, Q., Yan, L., & Jin, X. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3697300 · Cited by 3

Hierarchical Forwarding Resource Allocation With Proactive Frame Dropping for VR Video Streaming

Yang, P., Feng, Q., Huang, Z., Chen, J., & Zhang, N. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3593299 · Cited by 3

Sensing, decision-making and economic impact for next-generation technologies

Hornos, M. J., & Rodríguez, V. M. Z. (2024) · Journal of Ambient Intelligence and Smart Environments · doi:10.3233/ais-246004 · Cited by 3

Exploring Dynamic Beamforming for Reliable Handover in 5G Railway Communication Systems

Li, J., Ma, Y., Liu, C., Zhang, G., Ma, G., Yang, M., Yue, W., Zhong, Z. D., & Ai, B. (2025) · IEEE Transactions on Communications · doi:10.1109/tcomm.2025.3593620 · Cited by 3

FLARE: Federated Lightweight Agents for Reinforcement Environments in Microgrids

Sang, Z., Duan, Z., Shen, S., Zhang, C., Wang, X., Luo, T., Chen, S., Wang, X., & Wu, G. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3587010 · Cited by 2

Joint Adaptive Modulation Coding and Power Optimization in Heterogeneous Networks Based on Constrained Deep Reinforcement Learning

Wang, T., Gu, X., Chen, H., Chang, C., Tang, T., Huang, H., Jiao, D., Lin, Y., & Gui, G. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3609334 · Cited by 2

MalCAFF: A Cross Attention-Based Feature Fusion Framework for Malware Classification

Guo, W., Hu, J., Wang, Y., Fu, Y., Xue, J., & Zheng, B. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3627147 · Cited by 2

GBShard: Adaptive Sharding for Blockchain Network via Granular-Ball Partitioning

Wu, Z., Cao, S., Xia, S., Huang, B., Wang, G., & Zhang, X. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3639250 · Cited by 2

LLMs for Resource Allocation in Next-Gen RIS-Aided Healthcare Wireless Networks

Kurma, S., Paul, A., Singh, K., Dev, K., & Li, C.-P. (2025) · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · doi:10.1109/infocomwkshps65812.2025.11152831 · Cited by 2

Agentic GenAI-Driven Network Management: Outage Probability of Relay Signal Transmission Using DF Technique Under BX Fading Case Study

Petrović, N., & Suljović, S. (2025) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor67910.2025.11314268 · Cited by 2

Dynamic Normalization TD3-Based Task Offloading for UAV-Assisted Collaborative Computing

Song, X., Zhang, B., Fan, Z., Li, R., & Xu, S. (2026) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2026.3667404 · Cited by 2

Toward High-Efficient V2V Communication Networks: A Study on Channel Modeling and Level-Crossing Rate Analysis

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