{"total":18,"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":"2207.02242","title":"State-Augmented Learnable Algorithms for Resource Management in Wireless Networks","created":"2022-07-05","cited_by_count":14,"area":null},{"id":"2105.04207","title":"Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning","created":"2021-05-10","cited_by_count":8,"area":null},{"id":"2212.04047","title":"Graph Neural Networks Meet Wireless Communications: Motivation, Applications, and Future Directions","created":"2022-12-08","cited_by_count":8,"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":"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":"2203.09954","title":"Learning to Optimize Resource Assignment for Task Offloading in Mobile Edge Computing","created":"2022-03-15","cited_by_count":3,"area":null},{"id":"2207.06592","title":"Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning","created":"2022-07-14","cited_by_count":3,"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":"2110.06542","title":"A Memory-Efficient Learning Framework for SymbolLevel Precoding with Quantized NN Weights","created":"2021-10-13","cited_by_count":1,"area":null},{"id":"2310.00248","title":"Learning State-Augmented Policies for Information Routing in Communication Networks","created":"2023-09-30","cited_by_count":1,"area":null},{"id":"2202.01729","title":"Can machines solve general queueing systems?","created":"2022-02-03","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":"2207.06537","title":"Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning","created":"2022-07-13","cited_by_count":0,"area":null},{"id":"2210.16412","title":"A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks","created":"2022-10-28","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":"2401.10297","title":"Learning Non-myopic Power Allocation in Constrained Scenarios","created":"2024-01-18","cited_by_count":0,"area":null},{"id":"2609.20271","title":"AI-Driven Real-Time Relay Optimisation in Smart Urban NR-V2X Networks via Learning-to-Optimise Graph Neural Networks","created":"2026-07-29","cited_by_count":0,"area":null}],"next_cursor":null}