Mobile Networks

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Period ending 2026-09-21

14 new papers

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12 new papers

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Wireless Resource Allocation

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Mobile Networks

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60 papersExplore

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Radio Frequency

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55 papersExplore

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Open Radio Access Networks

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44 papersExplore

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Wireless Networks

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42 papersExplore

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High-Fidelity Radio Map Construction

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264 papers

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Advanced AI Service Provisioning in O-RAN through LLM Engine Integration
May 22, 2026Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang +1Open Radio Access Networks Llm-Driven
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
May 22, 2026Lipeng Dai, Luping Xiang, Kun YangEmbodied Agents Human-Robot Interaction
ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps
May 21, 2026Cezary Adamczyk, Adrian KliksOpen Radio Access Networks Optical Networks
FedCritic: Serverless Federated Critic Learning-based Resource Allocation for Multi-Cell OFDMA in 6G
May 20, 2026Amin Farajzadeh, Melike Erol-KantarciWireless Resource Allocation Federated Reinforcement Learning
Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
May 20, 2026Liang Wu, Kelly Wan, Mayank Darbari +1Mobile Networks Artificial Intelligence Systems
TONIC: Token-Centric Semantic Communication for Task-Oriented Wireless Systems
May 20, 2026Sige Liu, Kezhi WangSemantic Communications Wireless Networks
When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System
May 19, 2026Deemah H. Tashman, Soumaya CherkaouiWireless Networks Deep Reinforcement Learning
TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?
May 18, 2026Jieting Xiao, Yun Lin, Huizhen Qiu +10Mobile Networks
Hamiltonian-Inspired Attention Mechanism for Scalable RF Transmitter Fingerprinting
May 17, 2026Chitraksh Singh, Monisha Dhanraj, Akram SheriffRadio Frequency Transformer Attention
An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks
May 17, 2026Praveen Hegde, Mishal ShahFraud Detection Mobile Networks
Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)
May 16, 2026Kasidis Arunruangsirilert, Jiro KattoWireless Resource Allocation Networked Systems
MAxLM: Multi-Agent Language Model-Based Scheduling and Resource Allocation in MU-MIMO-OFDMA-Enabled Wireless Networks
May 15, 2026Adnan Quadri, Hongxiang LiWireless Resource Allocation Wireless Networks
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
May 15, 2026Chaoqun You, Yueyue Dai, Xingqiu He +3Open Radio Access Networks Optimal Scheduling
PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
May 14, 2026Saad Masrur, Yuxuan Jiang, Matti Hiltunen +2Mobile Networks Spectrum
PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams
May 14, 2026Peter Bauer, Andreas Porada, Felix Ott +2Multi-Sensor Fusion Inertial Measurement Units
Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
May 14, 2026Wentao Yu, Vincent W. S. WongHeterogeneous Edge Devices In-Memory Computing
CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision
May 13, 2026Xuanhao Luo, Zhizhen Li, Yuchen LiuChannel State Information Self-Supervised Representations
Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning
May 13, 2026Amirhossein YousefiramandiWireless Resource Allocation Dynamic Order Fulfillment Operations
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
May 12, 2026Mannam Veera Narayana, Rohit Singh, Deepa M. R +1Mobility Naturalistic Driving Data
Towards Automated Air Traffic Safety Assessment Around Non-Towered Airports Using Large Language Models
May 12, 2026Torsten Darrell, Mahyar Ghazanfari, Jordan Kam +3Large Language Model Safety Safety
Adaptive Multi-Round Allocation with Stochastic Arrivals
May 12, 2026Yuqi Pan, Davin Choo, Haichuan Wang +3Stochastic Delays Wireless Resource Allocation
Active Sensing with Meta-Reinforcement Learning for Emitter Localization from RF Observations
May 12, 2026M. Shamail J. Khan, Nisha L. Raichur, Lucas Heublein +5Global Navigation Satellite System Radio Frequency
Physical-AI: From Channel Awareness to Environmental Intelligence in 6G Wireless Networks
May 12, 2026Farooque Hassan Kumbhar, Kapal Dev, Sunder Ali Khowaja +3Wireless Networks Wifi
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiTemporal Graph Neural Networks Imputation
Hierarchical LLM-Driven Control for HAPS-Assisted UAV Networks: Joint Optimization of Flight and Connectivity
May 12, 2026Zijiang Yan, Hao Zhou, Wael Jaafar +4Multi-Uav Systems Flight Performance
xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks
May 11, 2026Mohammed M. H. Qazzaz, Syed Ali Zaidi, Aubida A. Al-Hameed +2Open Radio Access Networks Mobile Networks
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
May 11, 2026Xijun Wang, Zhaoyang Liu, Chenyuan Feng +3Open Radio Access Networks
TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
May 11, 2026Pranshav Gajjar, Emmanuel Ojo, Vijay K ShahLarge Language Model Reasoning Resilience
Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
May 10, 2026Sze-Ann Chen, Zhi-Yi Chin, Kui-Yuan Chen +2Backdoor Attacks Deep Reinforcement Learning
PropSplat: Map-Free RF Field Reconstruction via 3D Gaussian Propagation Splatting
May 8, 2026William Bjorndahl, Maninder Pal Singh, Farhad Nouri +1High-Fidelity Radio Map Construction Radio Frequency
Differentiable Ray Tracing with Gaussians for Unified Radio Propagation Simulation and View Synthesis
May 8, 2026Niklas Vaara, Lam Huynh, Pekka Sangi +2Geometry-Aware Ray Casting Radio Frequency
How Big Should a Wireless Foundation Model Be?
May 8, 2026Wei-Lun Cheng, Wanjiun LiaoWireless Networks Wireless Foundation Models
Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
May 8, 2026Hao Chen, Zavareh BozorgaslWireless Resource Allocation Federated Learning
Online Allocation with Unknown Shared Supply
May 8, 2026Tzeh Yuan Neoh, Davin Choo, Mengchu Yue +1Monotonic Inventory Estimation Supply Chain Optimization
When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization
May 6, 2026Yalin E. Sagduyu, Tugba ErpekSemantic Communications Wireless Resource Allocation
Inverse Design of Multi-Layer Sub-Pixel-Resolution RF Passives Through Grayscale Diffusion with Flexible S-Parameter Conditioning
May 6, 2026Tommaso Dreossi, Christopher M. Bryant, Hao Liu +4Generative Inverse Design And Mixed-Signal Circuits
Adaptive Learning Strategies for AoA-Based Outdoor Localization: A Comprehensive Framework
May 6, 2026Bac Trinh-Nguyen, Sara Berri, Sin G. Teo +2Robust Localization Open Radio Access Networks
Learning the Channel Gain from Anywhere to Anywhere via Cross-environment Transformer Estimators
May 6, 2026Prasenjit Dhara, Daniel RomeroJoint Channel Estimation High-Fidelity Radio Map Construction
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
May 6, 2026Juan Parra-Ullauri, Talha Ahmed Khan, Daniel McHugh +4Multi-Agent Orchestration Frameworks Orchestration
Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV
May 6, 2026Maoxin Ji, Qiong Wu, Pingyi Fan +4Multi-Uav Systems Uncrewed Aerial Vehicles
Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control
May 4, 2026Zhenyu Liu, Yi Ma, Rahim TafazolliAgentic Control Runtime Enforcement
Dueling DDQN-Based Adaptive Multi-Objective Handover Optimization for LEO Satellite Networks
May 4, 2026Po-Heng Chou, Chiapin Wang, Chung-Chi Huang +1Satellite Wireless Resource Allocation
Context-Aware Wireless Token Communication via Joint Token Masking and Detection
May 4, 2026Junyong Shin, Joohyuk Park, Yongjeong Oh +3Token Communications Semantic Communications
Discover Fast Power Allocation Solution for Multi-Target Tracking via AlphaEvolve Evolution
May 3, 2026Zhenkang Hou, Wenqiang Pu, Junkun Yan +2Radar Wireless Resource Allocation
Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection
May 3, 2026Samhita Kuili, Mohammadreza Amini, Burak KantarciJamming Attacks Federated Learning
LLM-assisted gNB Parameter Configuration for Radio Access Network
May 1, 2026Yao-Cong Dong, Maria Amparo Canaveras Galdon, Ari Uskudar +3Open Radio Access Networks Large Language Model Fine-Tuning
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
May 1, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Attack Detection Mobile Networks
Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
Apr 30, 2026Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3Satellite Mobile Networks
Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection
Apr 29, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Anomaly Detection Heterogeneous Graph Transformers
NeuralEmu: in situ Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
Apr 28, 2026Haoran Wan, Yaxiong Xie, Kyle JamiesonEmulators Mobile Networks
Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
Apr 28, 2026Yongtao Yao, Wenjing Xiao, Miaojiang Chen +5Wireless Resource Allocation Post-Quantum Cryptography
Multi-Periodogram Velocity Estimation with Irregular Reference Signals for Robot-Aided ISAC
Apr 28, 2026Yi Geng, Pan Cao, Ting Zeng +1Integrated Sensing And Communication Ultra-Wideband
FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices
Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated Learning Large Language Model Quantization
SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication
Apr 28, 2026Yunhao Wang, Shuai Ma, Bin Shen +4Semantic Communications Wireless Resource Allocation
Accelerating Regularized Attention Kernel Regression for Spectrum Cartography
Apr 28, 2026Liping Tao, Chee Wei TanHigh-Fidelity Radio Map Construction Spectral Preconditioning
Machine-Learning-Based Classification of Radio Frequency Building Loss
Apr 27, 2026Jiayi Tan, Neelabhro Roy, James Gross +2Radio Frequency Finite-Sample Coverage Guarantees
Learning Coverage- and Power-Optimal Transmitter Placement from City Maps: A Comparative Study of Direct and Indirect Neural Approaches
Apr 23, 2026Çağkan YaparHigh-Fidelity Radio Map Construction Optimal Sensor Placement
Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not?
Apr 21, 2026Yi Zhao, Di Yuan, Tao Deng +2Federated Learning Wireless Resource Allocation
Memory Centric Power Allocation for Multi-Agent Embodied Question Answering
Apr 20, 2026Chengyang Li, Shuai Wang, Kejiang Ye +5Multi-Robot Systems Embodied Agents
TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications
Apr 20, 2026Pranshav Gajjar, Vijay K ShahEmbedder Mobile Networks

May 22, 2026 · eess.SYJ/K move · Enter open · S save

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang, Vijay K. Shah

The Open Radio Access Network (O-RAN) architecture allows AI to be embedded directly into the RAN through modular xApps and rApps, yet creating these applications collecting data, training models, writing code, and deploying them safely remains slow and largely manual. Large Language Models (LLMs) offer strong reasoning and code-generation capabilities but are unsuited for the fast, deterministic inference required in real-time RAN control. We present a proof-of-concept Dual-Brain architecture that combines both strengths: an LLM-based orchestrator translates operator intents into data-collection policies and deployment code, while an automated ML engine, NeuralSmith, trains lightweight classifiers on demand via an API. We describe the architecture and provisioning workflow, share practical insights from a containerized O-RAN 5G~SA testbed, and discuss open research directions.

Open Radio Access Networks Llm-Driven

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