Technical Program
Monday, October 20
Monday, October 20 9:00 - 10:30
ST1: UAVs, Autonomous Vehicles & 6G
- Explainable Machine Learning for Environment-Aware Channel State Prediction in UAV-Based 6G Networks
- Adaptive Communication for Joint Trajectory and RRM in MADRL-Based UAV Networks
- An Indoor Experimental Testbed for 5G-Based UAV Control and Communication
- Enhancing Vehicular Communication with Predictive Quality of Service: A Real-World Proof of Concept
ST2: IoT Security & Intrusion Detection
- A Feature-aware Adaptive Ensemble Framework for IoT Intrusion Detection Systems
- A Scalable And Efficient Intrusion Detection System Based On A Shapley Value Driven Feature Selection
- Secure Split and Classification Mechanism for LoRa Networks Against Active and Reactive Interference Attacks
- Securing Connected and Autonomous Vehicles with Sliding Window-based False Information Tracing
ST3: Federated & Distributed Learning
- TCHIA-FedPer: An Edge Online Federated Learning and IoT Based for High Precision Smart Agriculture
- XFL-Q: Communication-Efficient Federated Learning with Layer-wise Quantization for IoT
- Secure V2P Risk Prediction: A Decentralized Federated Deep Learning Approach
- AI-Driven Optimisation for Mobile Behavioural Biometrics Continuous Authentication
Monday, October 20 11:00 - 12:30
N2WOMEN Panel: AI/ML for the Next Generation Wireless Networks
Abstract
The panel, supported by Women in Communications Engineering (WICE), will explore how Artificial Intelligence and Machine Learning are reshaping the landscape of next-generation wireless networks. Key topics include AI-native 6G network architectures, the role of AI/ML in Non-Terrestrial Networks (NTNs), and emerging real-world use cases. Alongside these exciting technical frontiers, the session will feature inspiring stories from expert researchers with diverse backgrounds who are actively shaping the future of wireless communications and mobile networking. Their experiences will offer valuable insights and practical strategies for navigating and building a successful career in this fast-evolving field.
Monday, October 20 14:00 - 15:30
SP: WiMob-SPPDT'2025 (2025 WiMob Short Papers, Posters and Demos)
ST4: Wireless Sensor Networks & Spectrum
- Stochastic Connected k-Coverage in Planar Wireless Sensor Networks Using Optimal Hexagonal Tessellation
- Comparative Analysis of KNN, RNG and K-RNG for Inter-Robot Communication
- SHOLO: Similarity-based Reduction Scheme for Efficient Data Transmission and Energy Saving in Multimedia Sensor Networks
- Enhanced Detection of Intermittent Primary User Signals for Cognitive Radio-IoT Networks with Markov-Chain Modeled BPSK
ST5: AI, Large Language Models & Cloud Trust
- A Multi-Agent Framework for Natural Language-Driven Network Simulation
- WiFiQnA: a WiFi Dataset for Large Language Models
- Towards Secure and Transparent Cloud Auditing: A Blockchain and IPFS-Driven Framework with Batch Verification
- Leveraging Packet Aggregation to Optimise QoS and Energy Trade-offs in 5G/6G Optical Fronthaul Networks
Monday, October 20 16:00 - 18:00
AIMEH - WS: AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare
AIMEH - WS: AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare
GenXNet'25: The 1st IEEE International Workshop on Generative and eXplainable Artificial Intelligence for Networking (GenXNet)
- FlowPicClip: Improving Network Traffic Classification Using Language Supervision
- Understanding What Federated Learning Models Learn: a Comparative Study with Traditional Models
- Towards Better-Calibrated ML Models for Reliable Network Intrusion Detection via Calibration-Aware SHAP-Based Feature Selection
- Generative Explainability for Next-Generation Networks: LLM-Augmented XAI with Mutual Feature Interactions
- SG-VAE: Explainable Semi-Generative Model for Attack Detection in IoT Healthcare Systems
- Lightweight Fine-Tuning of LLMs for Explainable Intrusion Detection in SDN
ST6: Edge Computing & Resource Allocation
- Distributed Resource Allocation and Application Deployment in Mesh Edge Networks
- From Measurement to Materials: Cost-Aware Right-Sizing of Multi-Tier Edge Computing Infrastructures
- Distributed Hierarchical Slack-reduction in Slicing for railways FRMCS
- Robust Resource Allocation in RSMA-based STAR-RIS-aided HAP Communication Networks with Imperfect SIC
- IRS-Assisted DECT-2020 NR framework for Ensuring URLLC Constraints in Industrial IoT
Tuesday, October 21
Tuesday, October 21 9:00 - 10:30
W1: AI for Intrusion Detection and Threat Mitigation
- Flow-Based Anomaly Intrusion Detection Systems using Recurrent Neural Networks
- Improving Trust and Detecting Malicious Data Sharing in SDN Data Plane Communications using Lightweight Deep Learning
- Unseen Attacks Identification in Intrusion Systems Using BERT and Logit Normalization
- Enhanced Adversarial Domain Adaptation for Intrusion Detection Systems
Tuesday, October 21 9:30 - 10:30
W4: Vehicular Networks and Platooning
- Integrated UWB and LIDAR Assisted Localization and Navigation System for Automated Platooning
- Secure Group Key Dissemination Protocol in Cooperative Vehicular Platooning
- An enhanced authentication solution for infrastructureless vehicle environments
- A Meta Learning Framework for Intrusion Detection in Connected Vehicles
Tuesday, October 21 11:00 - 11:30
OP: WiMob 2025 Opening Ceremony
Tuesday, October 21 11:30 - 12:30
Keynote 1: Bridging Communication and Edge Intelligence through Machine Learning
Abstract
As the amount of data generated by edge devices continue to increase, traditional models of centralized processing are no longer sufficient. This keynote explores how Machine Learning (ML) can be leveraged to jointly address the challenges of data communication and edge computing, enabling a new paradigm of distributed intelligence. We will discuss how ML techniques can help select which data should be transferred and determine how data should be transmitted over the radio link, while supporting real-time data fusion and decision-making at the network edge. Addressing resource allocation and adaptive compression, the talk will highlight how integrating ML into edge devices as well as into the fabric of edge networks allows for more resilient, efficient, and context-aware systems. The keynote will also discuss open research questions and the importance of a unified approach to data communications and computing toward scalable edge intelligence.
Biography
Dr. Carla Fabiana Chiasseriniis ; Full Professor at Politecnico di Torino, Italy, and a Research Associate with the Italian National Research Council (CNR) and the NationalInter-University Consortium for Telecommunications(CNIT). She is also a WASP Guest Professor at Chalmers Institute of Technology, Sweden. She was a Visiting Researcher at UC San Diego (1998-2003), and a Visiting Professor at Monash University (2012, 2016), the Berlin Technische Universität (2021,2022), and the HPI, Potsdam University (Mercato Fellow, 2023and 2024). She is an IEEEFellow and an ACMFellow. She is the director of the Advanced Wireless Experience (AWE) Lab at Politecnico di Torino. Her research interestsinclude Next-generation MobileNetworks, Edge Computing, Machine Learning, andMobile Autonomous Systems. She has published over 350 journal andconference papersandhas received several awards for her scientific work. She serves as ViceEditor-in-Chief of Computer Communicationsand as Editor-at-Large of the IEEE/ACM Transactions on Networking.
Tuesday, October 21 14:00 - 15:30
W2: Federated and Distributed Learning for IoT and Mobile Systems
- Distributed Task Offloading Using Federated Reinforcement Learning in VEC
- A Communication-efficient Federated Learning Approach for Intrusion Detection in IoT
- Decentralized Tiny Ensemble Learning for Privacy-Preserving Compliance Prediction in Operating Room Environments
- Stability-Driven Quantization-Aware Training for Low-Bit Models
W5: Next-Generation Mobile Networking and O-RAN
- Design and Evaluation of an Orchestrated E2E Cloud-Native Mobile Network with O-RAN
- A Novel Routing Protocol for MANET-Based Smart Indoor Environments
- Evaluating Bi-directional Connectionless BLE for Bike-to-Everything Wireless Communications
- ORCHID: Tessellation-Based Cylindrical Deployment Protocol for Energy-Efficient Coverage in Three-dimensional Wireless Sensor Networks
Tuesday, October 21 16:00 - 17:30
W3: UAV and Drone Security and Localization
- Enhancing UAV Swarm Security through an RSSI-based Protocol for GNSS-Compromised Environments
- SPARKS: A Serverless Protocol for Authentication and Resilient Key Sharing in UAV Networks
- Indoor Drone Propeller Speed Estimation Using Wi-Fi Channel State Information
- Zero-day GPS Attack Detection and Classification in UAV Networks
W6: AI-Driven Health and IoT Applications
Wednesday, October 22
Wednesday, October 22 9:00 - 10:30
W10: Resource Allocation and Offloading in MEC and 6G
- Cooperative MEC-enabled HAPS and UAV-RIS Assisted Task Offloading in ITS Systems
- Energy Budget Distribution in Mobile Edge Computing Applications
- Joint Optimization of Task Offloading and Multicast Transmission Scheduling in MEC Networks
- A RAG-assisted DRL Framework for Microservices Deployment in 6G vehicular Networks
W7: Blockchain and Decentralized Systems
- ReLEaRN: Reinforcement Learning Enhanced Profitable Rebalancing in Payment Channel Networks
- Multi-party Consensus-based Blockchain for Chain of Custody in IoT Forensic Investigations
- Security-Oriented Load Distribution in MQTTv5: A Token Bucket and Trust Evaluation Approach
- Decentralized Oracles with Threshold Signatures: A Discrete Public Goods Game Model
Wednesday, October 22 11:30 - 12:30
Keynote 2: View on 6G from Nokia and European Flagship Hexa-X-II
Abstract
The next generation of cellular technology 6G has been under research for many years and has now entered the initial stage of technical specifications at 3GPP. The combination of new services, device expansion and surge in AI usage are fueling data traffic growth. This challenge needs to be addressed in a sustainable way, from point of view of environmental, social and economic sustainability. This presentation will give an overview of the current status with 6G.
Biography
Mikko Uusitalo is Head of Research Department Radio Systems Research Finland at Nokia Bell Labs and Nokia Bell Labs Finland Site Lead. Mikko is the Chair of the Board of the Nokia Foundation. Mikko has been leading the European 6G Flagship project Hexa-X-II and was leading Hexa-X. He obtained a M.Sc. (Eng.) and Dr.Tech. in 1993 and 1997 and a B.Sc. (Economics) in 2003, all from predecessors of Aalto University. Mikko has been at Nokia since 2000 with various roles, including Principal Researcher and Head of International Cooperation at Nokia Research. Mikko is a founding member of the CELTIC EUREKA and WWRF, the latter one he chaired for 2004-2006. Mikko is a WWRF Fellow. In 2020 Mikko received the Cross of Merit of the Order of White Rose from the President of Finland. Mikko has and has had numerous board and advisory positions in many important groups in the industry, academia or government side.
Wednesday, October 22 14:00 - 15:30
W11: Advanced Wireless Communication Techniques
- MAC-Layer Protocol for Ultra-Reliable Multi-Hop Communication in DECT-2020 NR IIoT Networks
- SPARK: A Kripke-Based Formal Analysis of the SN-MPR Routing Protocol in Wireless Sensor Networks
- Comparative Study of Packet Loss Models for Flooding Protocols in Dense Wireless Networks
- Subcarrier and Resource Allocation in Aerial Intelligent Reflecting Surface-Assisted Wireless Networks
W8: Privacy and Trust in Mobile and Wearable Systems
Wednesday, October 22 16:00 - 17:30
W12: Adversarial Robustness and Meta-Learning in Security
W9: AI for Wireless Communications and Signal Processing
- A Rendez-Vous in Time: Frequency-Domain Precoding for LoS Alignment in Distributed MISO
- Expert Fusion with Meta-Adaptation for Signal Technology Recognition
- A Design of High-Order APSK Constellations With PAPR Constraints for Single-Carrier BICM Systems
- Inverted BER Trends for Energy-Detected GRSM-MQAM Massive MIMO Downlink
