Interactive AI With Retrieval-Augmented Generation for Next Generation Networking
Open accessAbstract
With the advance of artificial intelligence (AI), the concept of interactive AI (IAI) has been introduced, which can interactively understand and respond not only to human user input but also to dynamic system and network conditions. In this article, we explore an integration and enhancement of IAI in networking.We first comprehensively review recent developments and future perspectives of AI and then introduce the technology and components of IAI. We then explore the integration of IAI into next-generation networks, focusing on how implicit and explicit interactions can enhance network functionality, improve user experience, and promote efficient network management. Subsequently, we propose an IAI-enabled network management and optimization framework, which consists of environment, perception, action, and brain units. We also design a pluggable large language model (LLM) module and retrieval augmented generation (RAG) module to build the knowledge base and contextual memory for decision-making in the brain unit. We demonstrate through case studies that our IAI framework can effectively perform optimization problem design. Finally, we discuss potential research directions for IAI-based networks.
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Cites
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× · see citing works
“Phase 2: Predictive AI (PAI) /Discriminative AI (DAI) With the use of deep neural networks such as convolutional neural networks (CNNs), PAI and DAI are good at learning special paradigms from large data sets [4].”
BackgroundRetrieval-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 · see citing works
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 · see citing works
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 · see citing works
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 613 · see citing works
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 421 · see citing works
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 · see citing works
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 · see citing works
Self-citationDu, 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 272 · see citing works
Self-citationGenerative AI-Enabled Vehicular Networks: Fundamentals, Framework, and Case Study
Zhang, R., Xiong, K., Du, H., Niyato, D. T., Kang, J., Shen, X., & Poor, H. V. (2024) · IEEE Network · doi:10.1109/mnet.2024.3391767 · Cited by 144 · see citing works
Self-citationWhere to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence
Singh, N., Bernal, G., Savchenko, D., & Glassman, E. L. (2023) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3511599 · Cited by 119 · see citing works
Making Network Configuration Human FriendlyPreprint
Wang, C., Scazzariello, M., Farshin, A., Kostić, D., & Chiesa, M. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2309.06342 · Cited by 33 · see citing works
An Interactive Query Generation Assistant using LLM-based Prompt Modification and User FeedbackPreprint
Dhole, K., Chandradevan, R., & Agichtein, E. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2311.11226 · Cited by 8 · see citing works
Flagged first, then by citations
1 of the 14 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
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 241 · see citing works
Self-citationZhang, 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 95 · see citing works
Self-citationGenerative 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 · see citing works
Self-citationZhang, 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 65 · see citing works
Self-citationLarge 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 · see citing works
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 · see citing works
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 52 · see citing works
Self-citationZhang, 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 · see citing works
Self-citationLet 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 · see citing works
Self-citationA 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 42 · see citing works
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 · see citing works
Self-citationDui, H., Zeng, Q., & Xie, M. (2025) · Frontiers of Engineering Management · doi:10.1007/s42524-025-4147-6 · Cited by 37 · see citing works
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 · see citing works
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 32 · see citing works
Self-citationGenerative 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 · see citing works
Self-citationSecure 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 · see citing works
Self-citationAerial 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 · see citing works
Self-citationFan, 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 26 · see citing works
Self-citationA 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 · see citing works
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 · see citing works
Self-citationPrajapat, S., Kumar, P., Das, A. K., & Muhammad, G. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3555159 · Cited by 23 · see citing works
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 · see citing works
Self-citationHu, 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 · see citing works
Self-citationXu, 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 · see citing works
Self-citationIntegration 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 · see citing works
Stylos, N., Okumus, F., & Onder, I. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105205 · Cited by 18 · see citing works
Borghoff, U. M., Bottoni, P., & Pareschi, R. (2025) · Discover Computing · doi:10.1007/s10791-025-09667-2 · Cited by 17 · see citing works
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 16 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Li, B., Zhu, X., & Wang, J. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3522127 · Cited by 13 · see citing works
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 · see citing works
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 13 · see citing works
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 13 · see citing works
Self-citationSurgBox: 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 12 · see citing works
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 · see citing works
Self-citationLeveraging 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 11 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationLi, 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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 5 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationEdgeNetLLM: 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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Network Security Management in Heterogeneous Networks
Zhang, T., Tang, X., Wang, J., & Liu, J. (2025) · Electronics · doi:10.3390/electronics14030568 · Cited by 4 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Petrović, N., & Suljović, S. (2025) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor67910.2025.11314268 · Cited by 2 · see citing works
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 · see citing works
Zhao, Y., Chen, Z., Li, M., Zhang, J., Meng, G. X., Chen, Z. J., & Jiang, H. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3674196 · Cited by 2 · see citing works
Ping, Y., Ding, H., Liang, T., Zhou, L., Lei, G., Chen, X., Wu, J., Zhou, J., & Zhang, T. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3717937 · Cited by 2 · see citing works
A Joint Flow Scheduling Scheme for the Uplink of 5G-TSN in Industrial Internet of Things Systems
Zhao, J., Wang, T., Tong, H., Yang, N., Yin, C., & Niyato, D. T. (2025) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2025.3583193 · Cited by 2 · see citing works
Self-citationJoint Source-Channel Optimization for AAV Video Coding and Transmission
Wu, K., Cao, X., Yang, P., Zhang, H., Quek, T. Q. S., & Wu, D. O. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3604945 · Cited by 2 · see citing works
Dynamic Task Offloading and Migration Algorithms for Rail Transit Based on Mobility Prediction
Hu, J., Cao, Y., An, Y., Li, P., Huo, Y., Wang, F., & Sun, Y. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3609955 · Cited by 1 · see citing works
Wu, T., Wang, C., Li, J., Chen, X., Huang, C., Yao, M., & Aggoune, E. M. (2026) · IEEE Transactions on Communications · doi:10.1109/tcomm.2026.3657394 · Cited by 1 · see citing works
Dynamic Offloading Strategy in Vehicular Networks via Federated Continuous Reinforcement Learning
Yuan, X., Huang, K., Cao, B., Zhao, J., Li, C., & Deng, Q. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3660631 · Cited by 1 · see citing works
Han, P., Yin, Z., Liu, C. K., & Fang, Y. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3661503 · Cited by 1 · see citing works
SemAugCom: Semantic Augmented Communication for Few-Shot Learning Tasks
Peng, J., Xing, H., Xu, L., Luo, S., Ale, L., Zhu, Z., & Xiao, Z. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3703885 · Cited by 1 · see citing works
Wang, W., Dong, P., Qiao, W., Zhang, Y., Yu, C., & Zhang, H. (2025) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2025.3597465 · Cited by 1 · see citing works
RAG-Based Chatbots for Document Query—A Comprehensive Review
Salunke, M. D., Shah, T., Bhokre, V., & Sreemathy, R. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-7499-2_21 · Cited by 1 · see citing works
Predictive-Proactive Congestion Avoidance for Cross-Domain Data Center Interconnect
Zhang, X., Zhang, Y., Quan, W., Liu, M., Zhuang, Y., Luo, Y., Luo, T., Liang, J., Liu, K., & Zhang, H. (2025) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2025.3622383 · Cited by 1 · see citing works
Toward Efficient Collaborative Inference in IIoT: A Diffusion Model and DRL-Based Approach
Chen, Y., Zhou, J., Liu, B., & Niu, X. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3669635 · Cited by 1 · see citing works
Wang, H., Fan, X., Cheng, Z., Yuan, Y., Min, M., Liwang, M., & Xia, X. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3670497 · Cited by 1 · see citing works
MMJP: A Mobility and Congestion-Aware Routing Protocol for Flying Ad Hoc Networks
Guo, T., Ding, X. U., & Zhu, X. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3679327 · Cited by 1 · see citing works
Zhang, X., Cui, Y., Mao, B., & Chen, W. (2026) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2026.3690602 · Cited by 1 · see citing works
Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication
Meng, R., Gao, S., Xu, B., Xu, X., Chen, J., Ma, N., Xiao, P., Zhang, P., & Tafazolli, R. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3692413 · Cited by 1 · see citing works
MDP-Based Satellite–Ground Handover Schemes in 5G Satellite–Terrestrial Integrated Networks
Wang, J., Sun, Z., Zhang, D., Zeng, Z., Lin, M., & Wang, J.-B. (2026) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2026.3699642 · Cited by 1 · see citing works
Hippocampus: An Efficient and Scalable Memory Module for Agentic AI
Li, Y., Cao, L., Ahmed, F., Sharma, P., & Li, B. (2026) · arXiv · doi:10.48550/arxiv.2602.13594
“Despite their architectural diversity, these systems converge on a common technological substrate where retrieval is predominantly powered by dense vector similarity search within a Retrieval-Augmented Generation (RAG) framework or by traversing explicit knowledge graph structures.”
InfluentialMa, M., Yang, Y., Yang, H., Deng, X., Fan, Q., & Feng, Y. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10821718
- Authors
- Zhang, R., Du, H., Liu, Y., Niyato, D., Kang, J., Sun, S., Shen, X., & Poor, H. V.
- Affiliations
- Nanyang Technological University (SG)
- Guangdong University of Technology (CN)
- Agency for Science, Technology and Research (SG)
- University of Waterloo (CA)
- Princeton University (US)
- ORCID
- Venue
- IEEE Network
- Published
- 2024-11
- Volume
- 38
- Issue
- 6
- Pages
- 414-424
- ISSN
- 0890-8044 (ISSN-L)
- 1558-156X
- OpenAlex
- W4396941482
- Cited by
- 147
- References
- 14
- Citations by year
- 2026: 61 · 2025: 73 · 2024: 13
- FWCI
- 24.47
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Network (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Data and IoT Technologies
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- interactive AI, retrieval-augmented generation, next generation networks, network management, network optimization, large language models, contextual memory, knowledge base, user experience
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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