Mobile Networks

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5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 42

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Federated Learning for LLMs over Mobile Networks: Issues and Solutions in the RAN Transport
Oct 1, 2026Emilio Paolini, Andrea Pinto, Flavio Esposito +1Federated Learning Open Radio Access Networks
Tecip Institute, Scuola Superiore Sant’Anna, Pisa, Italy · Computer Science Department, Saint Louis University, St. Louis, USA
Do Agent Benchmarks Do What They Say? An Executable-Contract Audit of Tool-Using Agent Environments
Sep 29, 2026Rohith Reddy Bellibatlu, Zichong Wang, Wenbin ZhangAgentic Benchmarks Model Auditing
Florida International University, Miami, FL, USA
Contact as a Decision Variable: Capability-Tradeoff Contact Selection for Legged Loco-Manipulation
Sep 24, 2026Al Jaber Mahmud, Shuai Li, Xuan WangHumanoid Loco-Manipulation Contact
George Mason University · University of Florida
Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum
Sep 16, 2026Carolina Fortuna, Vid Hanžel, Tim Strnad +1Edge Platforms Agentic Inference
Department of Communication Systems, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia
Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval
Sep 14, 2026Junghyun Min, Huseyin Uzunalioglu, Mohamed TrabelsiCase Study Mobile Networks
Georgetown University · Nokia Bell Labs
A Peer-Relative Representation Learning Framework for Energy Inefficiency Identification in Mobile Network Sites
Sep 3, 2026Eliud Nyakweba Koto, Jaco du Toit, Adham Stoltz +1Energy-Efficient Mobile Networks
African Institute for Mathematical Sciences (AIMS), Cape Town, South Africa · Technology Strategy Planning Architecture & Assurance. Vodacom Group Limited, South Africa · Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa +3
mzCache: On-Device LLM Memory Management under Multitasking
Sep 1, 2026Hongseung Yu, Minsung Kim, Jongseok Park +1LLM Inference Optimization Large Language Model Memory
Seoul National University · UC Berkeley
CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN
Sep 1, 2026Pranshav Gajjar, Vijay K ShahOpen Radio Access Networks Mobile Networks
NextG Wireless Lab NCSU Raleigh USA
CTBench: Evaluating Troubleshooting Capabilities of AI Agents in Realistic Telecom Network Operations
Aug 12, 2026Xingyu Yan, Tingting Dai, Antonio De Domenico +16Mobile Networks Optical Networks
*Huawei Technologies, China · †Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France · +Queen Mary University of London
A Picture is Worth a Thousand Tokens: How Vision Language Models Cut AI Energy Costs While Improving Accuracy
Aug 7, 2026Bhavika Jalli, Nikhil Korati Prasanna, Jayanta ChoudhuryMobile Networks
Ericsson
Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing
Aug 4, 2026Laha Ale, Letian Lin, Na Cao +2Accurate Traffic Forecasting Temporal Graph Neural Networks
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China · SWJTU-Leeds Joint School, Southwest Jiaotong University, Chengdu, China · Key Lab of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China +1
Adaptive Two-Stage Online Learning for Service-Affecting Failure Detection in Mobile Core Networks
Jul 20, 2026J. du Toit, G. Fita, J. Salzwedel +2Mobile Networks Learning-Augmented Algorithms
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa · Technology Strategy Planning, Architecture & Assurance, Vodacom Group Limited, South Africa · Core Data Networks Performance Management, Vodacom Group Limited, South Africa +1
Mobile Network Control with a World Model
Jul 20, 2026Maxime Bouton, Ioanna Mitsioni, Simon Lindståhl +1Bringing Network Coding Mobile Networks
Ericsson Research, Stockholm, Sweden
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
Jul 17, 2026Mazene Ameur, Abdelkader Mekrache, Bouziane Brik +1Mobile Networks Ai-Native
EURECOM, France · Simula Metropolitan, Norway · University of Sharjah, UAE
Data and Learning Where it Matters for Contact-Rich Manipulation
Jul 17, 2026Oliver Hausdörfer, Linus Schwarz, Gabor Marko +7Contact-Rich Manipulation Robotic Manipulation Policies
1TU Munich · 2Siemens AG
Authority-Bound Governance of Heterogeneous AI Security Decisions in Telecom and IoT Networks
Jul 10, 2026Saviz Changizi, Nasibeh Mohammadzadeh, Mohammad Shojafar +1Fraud Detection Blockchain
6G Innovation Centre, Institute for Communication Systems, University of Surrey, UK · Department of Network Engineering, Polytechnic University of Catalonia, Barcelona, Spain
Criticality-Based Guard Rail Validation for AI Agent Decisions in Autonomous Telecom Networks
Jul 2, 2026Ravi Kant SharmaGuardrail Mobile Networks
Ericsson
ARMOR: Adaptive Retriever Optimization for Low-Resource Telecom Question Answering
Jun 29, 2026Heshan Fernando, Quan Xiao, Yan Xin +1Mobile Networks Encoders
1Rensselaer Polytechnic Institute, Troy, NY · 2Cornell University, New York, NY · 3Samsung Research America, Berkeley Heights, NJ
Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration
Jun 26, 2026Abdolazim Rezaei, Mehdi Sookhak, Mahboobeh HaghparastAccurate Traffic Forecasting Hybrid Transformer
Department of Computer Science Texas A&M University Corpus Christi, USA
Multi-Modal Conditioned High-Resolution Transformer for Urban Electromagnetic Field Map Prediction Download PDF
Jun 26, 2026Do-Eon Kim, Dongryul Park, Seungyoung Ahn +3Reconfigurable Intelligent Surfaces Spatio-Temporal Transformers
Soongsil University, Seoul 06978, Republic of Korea · Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon 34051, Republic of Korea · Department of Intelligent Semiconductors, Soongsil University, Seoul 06978, Republic of Korea
Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model
Jun 24, 2026Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza +6Sentiment Arabic
Department of Computer Science (CS), College of Computer Science and Information Technology (CCSIT), Imam Abdulrahman Bin Faisal University (IAU), P.O. Box 192, Dammam 31441, Saudi Arabia · Saudi Aramco Cybersecurity Chair, Department of Computer Science (CS), College of Computer Science and Information Technology (CCSIT), Imam Abdulrahman Bin Faisal University (IAU), P.O. Box 192, Dammam 31441, Saudi Arabia
Context-Aware Generative AI for Automated Telecom Test Script Generation
Jun 19, 2026Gautam Prasad, Chandramohan T. N., Joy BoseTest Generation Mobile Networks
Ericsson R&D Bangalore
The Perplexity Trap: When Patent Law Makes Human Writing Look Like AI
Jun 15, 2026Anubhab BanerjeePatent Vram
Nokia Solutions and Networks GmbH & Co. KG, Munich, Germany.
Temporally Consistent Graph Q-Networks for Intelligent Network Control
Jun 11, 2026Zacharias Veiksaar, Maxime BoutonDeep Q-Networks Bringing Network Coding
Work done while at Ericsson Research, Sweden. · Ericsson Research, Sweden.
APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
Jun 10, 2026Swadhin Pradhan, Niloo Bahadori, Peiman AminiTime Series Foundation Models Mobile Networks
Cisco Systems, USA
Telenor Nordics Customer Service self-help corpus
May 26, 2026Mike RiessMobile Networks Text Corpora
Research and Innovation, Telenor Group, Oslo, Norway
Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks
May 26, 2026Nguyen Cong Luong, Shaohan Feng, Nguyen Duc Hai +10Bringing Network Coding Mobile Networks
Faculty of Computer Science, Phenikaa University, Hanoi 12116, Vietnam · School of Information and Electronic Engineering (Sussex Artificial Intelligence Institute), Zhejiang Gongshang University, Hangzhou 310018, China · Faculty of Artificial Intelligence and Data Science, Phenikaa University, Duong Noi, Hanoi 12116, Vietnam +4
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
May 22, 2026Lipeng Dai, Luping Xiang, Kun YangEmbodied Agents Human-Robot Interaction
State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, 210008, China · Institute of Intelligent Networks and Communications (NINE), Nanjing University (Suzhou Campus), Suzhou, 215163, China
Towards Resilient and Autonomous Networks: A BlueSky Vision on AI-Native 6G
May 20, 2026Liang Wu, Kelly Wan, Mayank Darbari +1Open Radio Access Networks Mobile Networks
Nokia Sunnyvale, California, USA
TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?
May 18, 2026Jieting Xiao, Yun Lin, Huizhen Qiu +10Mobile Networks
ZTE Corporation China
An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks
May 17, 2026Praveen Hegde, Mishal ShahMobile Networks Fraud Detection
Associate Director-Emerging Commercial Platforms Verizon Atlanta, USA · Senior Software Engineer Bloomberg LP Jersey City, USA
PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
May 14, 2026Saad Masrur, Yuxuan Jiang, Matti Hiltunen +2Probabilistic Forecasting Mobile Networks
AT&T RAN Technology, Bedminster, NJ · Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
May 12, 2026Yichen Zhang, Jun LiImputation Temporal Graph Neural Networks
School of Information Science and Engineering, Southeast University, Nanjing, 210096, CHINA.
TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
May 11, 2026Pranshav Gajjar, Emmanuel Ojo, Vijay K ShahLLM Reasoning Strategies Mobile Networks
¹NextG Wireless Lab, North Carolina State University
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
May 6, 2026Juan Parra-Ullauri, Talha Ahmed Khan, Daniel McHugh +4Multi-Agent Orchestration Model-Based Multi-Agent Systems
Research & Commercialisation, BT Group, UK.
Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
May 1, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Graph Anomaly Detection Time-Series Anomaly Detection
Telenor Research and Innovation, Norway · Norwegian University of Science and Technology (NTNU), Norway · Hance, Norway +2
Context-Aware Graph Attention for Unsupervised Telco Anomaly Detection
Apr 29, 2026Sara Malacarne, Eirik Hoel-Høiseth, Erlend Aune +2Interleaved Graph Attention Mobile Networks
Telenor Research and Innovation, Norway · Norwegian University of Science and Technology (NTNU), Norway · Hance, Norway +2
TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications
Apr 20, 2026Pranshav Gajjar, Vijay K ShahMobile Networks Embedder
NextG Wireless Lab, North Carolina State University, Raleigh, USA
PEFT of SLM for Telecommunications Customer Support: A Comparative Study of LoRA Configurations with Energy Consumption Analysis
Apr 17, 2026Lucas Tamic, Ilan Jaffeux-Cheniout, Xavier MarjouModel Fine-Tuning Mobile Networks
Orange, France
Fusing Cellular Network Data and Tollbooth Counts for Urban Traffic Flow Estimation
Apr 17, 2026Oluwaleke Yusuf, Shaira TabassumUrban Mobility Mobility
Department of Engineering Cybernetics Norwegian University of Science and Technology (NTNU) NO-7491 Trondheim, Norway · Department of Computer Science Norwegian University of Science and Technology (NTNU) NO-7491 Trondheim, Norway
Efficient Cross-View Localization in 6G Space-Air-Ground Integrated Network
Mar 12, 2026Min Hao, Yanbing Xu, Maoqiang Wu +6Drone-View Geo-Localization Integrated Sensing And Communication
School of Electronic Science and Engineering, South China Normal University, Foshan, China
The Vienna 4G/5G Drive-Test Dataset
Date pendingWilfried Wiedner, Lukas Eller, Mariam Mussbah +4Mobile Networks Naturalistic Driving Data
Institute of Telecommunications, TU Wien, Gusshausstraße 25, 1040 Vienna, Austria · Christian Doppler Laboratory for Digital Twin assisted AI for sustainable Radio Access Networks, TU Wien

Oct 1, 2026, cs.NIJ/K move · Enter open · S save

Federated Learning for LLMs over Mobile Networks: Issues and Solutions in the RAN Transport

Emilio Paolini, Andrea Pinto, Flavio Esposito, Luca Valcarenghi

Tecip Institute, Scuola Superiore Sant’Anna, Pisa, Italy · Computer Science Department, Saint Louis University, St. Louis, USA

Federated Learning Open Radio Access Networks Mobile Networks

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Federated LLM fine-tuning enables large models to be adapted using private and geographically distributed data at the network edge, creating recurring and deadline-sensitive communication workloads across access and transport networks. This challenge is particularly relevant in mobile RANs, where wireless variability, mobility, and device heterogeneity cause model updates to arrive asynchronously. Although these updates belong to the same learning round and share a common destination and deadline, conventional transport networks treat them as independent device-originated flows, hiding their underlying structure and limiting the ability to efficiently provision transport resources. This mismatch is particularly problematic for optical circuit switching and all-photonics transport, which benefit from predictable and schedulable traffic demands. We argue that future RANs should act as learning-aware traffic shapers by exposing the communication structure of distributed model adaptation to the transport layer. Through in-network aggregation at the gNB, asynchronous UE updates can be transformed into fewer aggregate transfers with bounded size and delivery requirements. Once shaped in this way, federated LLM traffic becomes a suitable candidate for selectively provisioned optical connectivity, where high-capacity paths can be established during aggregate-transfer windows and released between learning rounds. The resulting architecture combines the flexibility of packet-based mobile access with dynamically provisioned optical capacity, illustrating a broader approach for coordinating distributed AI workloads across programmable access and transport networks.

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