Awesome Papers

Papers

AI agent for autonomous optical networks: architectures, technologies, and prospects [Invited Tutorial] (2026)
Yihao Zhang et al.
5.58
Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions (2026)
Kiarash Rezaei et al.
4.39
Free-Placement Optimization of Ground Station Locations for Low-Earth Orbit Satellites (2026)
Grace Ra Kim et al.
4.39
FlyRoute: Self-Evolving Agent Profiling via Data Flywheel for Adaptive Task Routing (2026)
Rongjun Li et al.
4.33
Llm-based Agentic Negotiation For 6G: Addressing Uncertainty Neglect And Tail-event Risk (2026)
Hatim Chergui, Farhad Rezazadeh, Mehdi Bennis, et al.
2.00
Executor-side Progressive Risk-gated Actuation For Agentic AI In Wireless Supervisory Control (2026)
Zhenyu Liu, Yi Ma, Rahim Tafazolli
2.00
Swarmdrive: Semantic V2V Coordination For Latency-constrained Cooperative Autonomous Driving (2026)
Anjie Qiu, Donglin Wang, Zexin Fang, et al.
2.00
AnonyCall: Enabling Native Private Calling in Mobile Networks (2026)
Hexuan Yu et al.
2.00
Expertise-guided LLM agent for autonomous optical power optimization in field-deployed optical networks (2026)
Qizhi Qiu et al.
2.00
Shared Without Coupling: A Cross-Framework State Contract Model for Multi-Product E-Commerce Funnels in Angular and React (2026)
Althaf Khan Pattan
2.00
Space Network Of Experts: Architecture And Expert Placement (2026)
Zhanwei Wang, Huiling Yang, Min Sheng, et al.
2.00
Arl-tangram: Unleash The Resource Efficiency In Agentic Reinforcement Learning (2026)
Bangjun Xiao, Yihao Zhao, Xiangwei Deng, et al.
2.00
Equitable Multi-Task Learning for AI-RANs (2026)
Panayiotis Raptis et al.
1.83
Bridging Local and Global Knowledge: Cascaded Mixture-of-Experts Learning for Near-Shortest Path Routing (2026)
Yung-Fu Chen et al.
1.83
Cascaded Transformer for Robust and Scalable SLA Decomposition via Amortized Optimization (2026)
Cyril Shih-Huan Hsu
1.72
Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI (2025)
Aladin Djuhera et al.
1.67
AIRMap: AI-Generated Radio Maps for Wireless Digital Twins (2025)
Ali Saeizadeh et al.
1.61
Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization (2025)
Duc-Thinh Ngo (STACK et al.
1.50
Demystifying Network Foundation Models (2025)
Sylee Beltiukov et al.
1.50
Q-Net: Queue Length Estimation via Kalman-based Neural Networks (2025)
Ting Gao et al.
1.50
Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing (2025)
Zekai Sun et al.
1.39
LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks (2025)
Lijie Zheng et al.
1.39
Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV (2025)
Tianfu Wang et al.
1.39
SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments (2025)
Yuya Okada and Takayuki Nishio
1.33
Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons (2025)
Dengyu Wu et al.
1.33
MX-AI: Agentic Observability And Control Platform For Open And AI-RAN (2025)
Ilias Chatzistefanidis, Andrea Leone, Ali Yaghoubian, et al.
1.33
Resilient By Design -- Active Inference For Distributed Continuum Intelligence (2025)
Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi, et al.
1.33
Agentran: An Agentic AI Architecture For Autonomous Control Of Open 6G Networks (2025)
Maxime Elkael, Salvatore D'Oro, Leonardo Bonati, et al.
1.33
Efficient Split Federated Learning for Large Language Models over Communication Networks (2025)
Kai Zhao et al.
1.22
Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning (2025)
Cyril Shih-Huan Hsu et al.
1.22
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services (2025)
Zhipeng Cheng et al.
1.11
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning (2019)
Huang Victoria et al.
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Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks (2020)
Feibo Jiang et al.
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A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement (2021)
Jose Jurandir Alves Esteves et al.
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Over-the-Air Federated Multi-Task Learning (2021)
Haoming Ma et al.
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Efficient and Reliable Overlay Networks for Decentralized Federated Learning (2021)
Yifan Hua et al.
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Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis (2022)
Mohammadreza Kouchaki et al.
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Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning (2023)
Marco Skocaj et al.
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TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling (2023)
Ke Deng et al.
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Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach (2023)
Wenhan Yu et al.
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Workflow Optimization for Parallel Split Learning (2024)
Joana Tirana et al.
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FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation (2024)
Tianfu Wang et al.
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Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference (2024)
Shengyuan Ye et al.
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Online Frequency Scheduling by Learning Parallel Actions (2024)
Anastasios Giovanidis et al.
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Design and Optimization of Hierarchical Gradient Coding for Distributed Learning at Edge Devices (2024)
Weiheng Tang and Jingyi Li and Lin Chen and Xu Chen
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Teola: Towards End-to-End Optimization of LLM-based Applications (2024)
Xin Tan et al.
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Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks (2024)
Yudi Huang et al.
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Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning (2024)
Abdulmoneam Ali et al.
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Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services (2024)
Menna Helmy et al.
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Generative AI Enabled Matching for 6G Multiple Access (2024)
Xudong Wang et al.
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