{"total":89,"rows":[{"id":"2111.12444","title":"Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications","created":"2021-11-24","cited_by_count":97,"area":null},{"id":"2203.10800","title":"Graph Neural Networks for Wireless Communications: From Theory to Practice","created":"2022-03-21","cited_by_count":46,"area":null},{"id":"2308.00788","title":"An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning","created":"2023-08-01","cited_by_count":41,"area":null},{"id":"2103.14779","title":"Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks","created":"2021-03-27","cited_by_count":26,"area":null},{"id":"2104.09027","title":"Decentralized Inference with Graph Neural Networks in Wireless Communication Systems","created":"2021-04-19","cited_by_count":18,"area":null},{"id":"2304.11787","title":"B2Opt: Learning to Optimize Black-box Optimization with Little Budget","created":"2023-04-24","cited_by_count":15,"area":null},{"id":"2104.05463","title":"Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks","created":"2021-04-12","cited_by_count":14,"area":null},{"id":"2301.00519","title":"Holistic Network Virtualization and Pervasive Network Intelligence for 6G","created":"2023-01-02","cited_by_count":14,"area":null},{"id":"2108.13178","title":"Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks","created":"2021-08-04","cited_by_count":13,"area":null},{"id":"2105.01696","title":"Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective","created":"2021-05-03","cited_by_count":12,"area":null},{"id":"2210.13111","title":"Federated Learning and Meta Learning: Approaches, Applications, and Directions","created":"2022-10-24","cited_by_count":12,"area":null},{"id":"2207.05364","title":"A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization","created":"2022-07-12","cited_by_count":7,"area":null},{"id":"2101.01336","title":"Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays","created":"2021-01-05","cited_by_count":6,"area":null},{"id":"2112.08091","title":"Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems","created":"2021-12-15","cited_by_count":6,"area":null},{"id":"2304.00446","title":"Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks","created":"2023-04-02","cited_by_count":6,"area":null},{"id":"2103.01602","title":"Learning Robust Beamforming for MISO Downlink Systems","created":"2021-03-02","cited_by_count":5,"area":null},{"id":"2106.10426","title":"Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee","created":"2021-06-19","cited_by_count":5,"area":null},{"id":"2201.11799","title":"Graph-based Algorithm Unfolding for Energy-aware Power Allocation in Wireless Networks","created":"2022-01-27","cited_by_count":5,"area":null},{"id":"2208.06963","title":"Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks","created":"2022-08-15","cited_by_count":5,"area":null},{"id":"2301.00757","title":"ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks","created":"2022-12-14","cited_by_count":5,"area":null},{"id":"2302.12304","title":"Uncertainty Injection: A Deep Learning Method for Robust Optimization","created":"2023-02-23","cited_by_count":5,"area":null},{"id":"2303.16113","title":"Graph Neural Networks for Power Allocation in Wireless Networks with Full Duplex Nodes","created":"2023-03-27","cited_by_count":5,"area":null},{"id":"2105.01853","title":"Two-Stage Stochastic Optimization via Primal-Dual Decomposition and Deep Unrolling","created":"2021-05-05","cited_by_count":4,"area":null},{"id":"2110.00272","title":"Learn to Communicate with Neural Calibration: Scalability and Generalization","created":"2021-10-01","cited_by_count":4,"area":null},{"id":"2111.10785","title":"Differentiable Projection for Constrained Deep Learning","created":"2021-11-21","cited_by_count":4,"area":null},{"id":"2112.10377","title":"Learning for Robust Combinatorial Optimization: Algorithm and Application","created":"2021-12-20","cited_by_count":4,"area":null},{"id":"2204.04507","title":"MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio","created":"2022-04-09","cited_by_count":4,"area":null},{"id":"2308.12161","title":"Data-driven decision-focused surrogate modeling","created":"2023-08-23","cited_by_count":4,"area":null},{"id":"2309.16603","title":"Deep Learning Based Uplink Multi-User SIMO Beamforming Design","created":"2023-09-28","cited_by_count":4,"area":null},{"id":"2405.19889","title":"Deep Joint Semantic Coding and Beamforming for Near-Space Airship-Borne Massive MIMO Network","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2103.11284","title":"Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks","created":"2021-03-21","cited_by_count":3,"area":null},{"id":"2110.12059","title":"Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding","created":"2021-10-22","cited_by_count":3,"area":null},{"id":"2212.00860","title":"A Model-based GNN for Learning Precoding","created":"2022-12-01","cited_by_count":3,"area":null},{"id":"2301.11166","title":"Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks","created":"2023-01-20","cited_by_count":3,"area":null},{"id":"2303.12947","title":"Deep Attention Recognition for Attack Identification in 5G UAV scenarios: Novel Architecture and End-to-End Evaluation","created":"2023-03-03","cited_by_count":3,"area":null},{"id":"2405.17875","title":"BO4IO: A Bayesian optimization approach to inverse optimization with uncertainty quantification","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2101.00744","title":"Learning to Optimize Under Constraints with Unsupervised Deep Neural Networks","created":"2021-01-04","cited_by_count":2,"area":null},{"id":"2106.07984","title":"Learning Autonomy in Management of Wireless Random Networks","created":"2021-06-15","cited_by_count":2,"area":null},{"id":"2108.13448","title":"Machine Learning Methods for Management UAV Flocks -- a Survey","created":"2021-08-30","cited_by_count":2,"area":null},{"id":"2109.12970","title":"Deep Learning Based Resource Assignment for Wireless Networks","created":"2021-09-27","cited_by_count":2,"area":null},{"id":"2110.07471","title":"Stability Analysis of Unfolded WMMSE for Power Allocation","created":"2021-10-14","cited_by_count":2,"area":null},{"id":"2201.01388","title":"End-to-End Autoencoder Communications with Optimized Interference Suppression","created":"2021-12-29","cited_by_count":2,"area":null},{"id":"2201.08477","title":"DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning","created":"2022-01-20","cited_by_count":2,"area":null},{"id":"2205.13958","title":"Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks","created":"2022-05-27","cited_by_count":2,"area":null},{"id":"2212.07967","title":"Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet","created":"2022-12-15","cited_by_count":2,"area":null},{"id":"2212.14051","title":"Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach","created":"2022-12-30","cited_by_count":2,"area":null},{"id":"2306.01787","title":"Power Control with QoS Guarantees: A Differentiable Projection-based Unsupervised Learning Framework","created":"2023-05-31","cited_by_count":2,"area":null},{"id":"2306.06674","title":"Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization","created":"2023-06-11","cited_by_count":2,"area":null},{"id":"2511.07824","title":"Multi-Objective Bilevel Learning","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2604.07390","title":"A Graph Foundation Model for Wireless Resource Allocation","created":"2026-04-08","cited_by_count":2,"area":null},{"id":"2107.02520","title":"Deep Learning Methods for Joint Optimization of Beamforming and Fronthaul Quantization in Cloud Radio Access Networks","created":"2021-07-06","cited_by_count":1,"area":null},{"id":"2305.12639","title":"Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks","created":"2023-05-22","cited_by_count":1,"area":null},{"id":"2307.08822","title":"A Meta-Learning Based Precoder Optimization Framework for Rate-Splitting Multiple Access","created":"2023-07-17","cited_by_count":1,"area":null},{"id":"2401.13206","title":"Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2406.08373","title":"Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design","created":"2024-06-12","cited_by_count":1,"area":null},{"id":"2407.01823","title":"Meta-Learning Based Optimization for Large Scale Wireless Systems","created":"2024-07-01","cited_by_count":1,"area":null},{"id":"2502.00304","title":"HoP: Homeomorphic Polar Learning for Hard Constrained Optimization","created":"2025-02-01","cited_by_count":1,"area":null},{"id":"2504.11667","title":"Transformer-Driven Neural Beamforming with Imperfect CSI in Urban Macro Wireless Channels","created":"2025-04-15","cited_by_count":1,"area":null},{"id":"2506.16072","title":"A Lightweight RL-Driven Deep Unfolding Network for Robust WMMSE Precoding in Massive MU-MIMO-OFDM Systems","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2509.11056","title":"BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization","created":"2025-09-14","cited_by_count":1,"area":null},{"id":"2108.10352","title":"Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration","created":"2021-08-23","cited_by_count":0,"area":null},{"id":"2109.02463","title":"Learning to Perform Downlink Channel Estimation in Massive MIMO Systems","created":"2021-09-06","cited_by_count":0,"area":null},{"id":"2112.14011","title":"To Supervise or Not: How to Effectively Learn Wireless Interference Management Models?","created":"2021-12-28","cited_by_count":0,"area":null},{"id":"2203.12315","title":"The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms","created":"2022-03-23","cited_by_count":0,"area":null},{"id":"2206.05576","title":"Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning","created":"2022-06-11","cited_by_count":0,"area":null},{"id":"2207.00751","title":"Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity","created":"2022-07-02","cited_by_count":0,"area":null},{"id":"2208.07643","title":"A Review of the Convergence of 5G/6G Architecture and Deep Learning","created":"2022-08-16","cited_by_count":0,"area":null},{"id":"2212.08020","title":"Learning Cooperative Beamforming with Edge-Update Empowered Graph Neural Networks","created":"2022-11-23","cited_by_count":0,"area":null},{"id":"2303.06381","title":"Learning to Precode for Integrated Sensing and Communications Systems","created":"2023-03-11","cited_by_count":0,"area":null},{"id":"2308.07511","title":"Distilling Knowledge from Resource Management Algorithms to Neural Networks: A Unified Training Assistance Approach","created":"2023-08-15","cited_by_count":0,"area":null},{"id":"2311.04600","title":"A Deep Learning Based Resource Allocator for Communication Networks with Dynamic User Utility Demands","created":"2023-11-08","cited_by_count":0,"area":null},{"id":"2404.00505","title":"Transfer Learning with Reconstruction Loss","created":"2024-03-31","cited_by_count":0,"area":null},{"id":"2404.02477","title":"Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach","created":"2024-04-03","cited_by_count":0,"area":null},{"id":"2407.07742","title":"Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial","created":"2024-06-29","cited_by_count":0,"area":null},{"id":"2412.15312","title":"PCA-Featured Transformer for Jamming Detection in 5G UAV Networks","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2501.18092","title":"Learning Provably Improves the Convergence of Gradient Descent","created":"2025-01-30","cited_by_count":0,"area":null},{"id":"2502.00053","title":"Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming","created":"2025-01-29","cited_by_count":0,"area":null},{"id":"2503.04497","title":"Precoder Learning for Weighted Sum Rate Maximization","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2503.09398","title":"Precoder Learning by Leveraging Unitary Equivariance Property","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2506.03813","title":"Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.14263","title":"Towards Robust Learning to Optimize with Theoretical Guarantees","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2509.06395","title":"Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2509.19312","title":"E2E Learning Massive MIMO for Multimodal Semantic Non-Orthogonal Transmission and Fusion","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2511.03632","title":"Neural Beamforming with Doppler-Aware Sparse Attention for High Mobility Environments","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2603.13035","title":"Association-Aware GNN for Precoder Learning in Cell-Free Systems","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.01794","title":"Discover Fast Power Allocation Solution for Multi-Target Tracking via AlphaEvolve Evolution","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.26163","title":"Adversarial Water-Filling: Theory, Algorithms, and a Domain-Specific Wireless Foundation Model","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.07114","title":"DIFFRACT: Neuralized Utility Maximization for Wireless Networks by Differentiable Programming","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2606.23047","title":"Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?","created":"2026-06-22","cited_by_count":0,"area":null}],"next_cursor":null}