Technical Program
Wednesday, October 14
Wednesday, October 14 8:30 - 10:30
HP 1: ntelligent IoT & Digital Health Systems
- TORUS-53: A Wearable Infrastructure for Longitudinal Residential Movement Monitoring
- A Runtime-Reconfigurable Wireless Body Area Network Using Textile-Based IoT Devices
- Design and Preliminary Deployment of a Frugal Smartwatch Monitoring Platform for Dementia Care
- Towards Health Data Autonomy: Bridging Consumer Wearable Data& Clinical Data for Holistic Healthcare
- A Large World Model for Person Overcrowding in Indoor Spaces to Prevent Airborne Diseases
- Adaptive Bionic Interface for Real-Time Postural Correction and Clinical Monitoring via IoMT
Wednesday, October 14 8:30 - 10:00
ST1: AI-enabled cybersecurity, adversarial attacks & explainability
- Semantic Cybersecurity: Ontology-Driven Attack Path Reasoning and Graph-Based Threat Intelligence
- A Benchmark Study of Adversarial Attacks and Defenses in Telecom Retrieval Systems
- XAI-IDS: An Explainable Intrusion Detection System for IoT/IIoT Networks Using SHAP and LLM
- Latency-Aware Security Integration for Operational Technology Networks via Edge Computing: A Comparative Evaluation of TLS-Secured MQTT and Modbus
ST5: Edge/continuum AI for sensing, monitoring & control
ST9: Non-terrestrial and opportunistic wireless/distributed networks
- Topology-Aware Analysis of Context Synchronization in Opportunistic VANETs
- Listening from Afar: Remote CPU Instruction Detection via 6G THz-ISAC Vibrometry: A Simulation Approach
- A Distributed Computing Framework for Satellite Swarms
- Link Budget Enhancement in HRIS-Assisted LEO Direct-to-Cell Communications
Wednesday, October 14 10:00 - 11:30
IEEE ComSoc Inovation Panel: Human-Centric Trustworthy AI for Secure 6G Systems
Abstract
6G networks are poised to be AI-native and the integration of AI into the fabric of 6G networks is expected to enable highly autonomous, intelligent, and adaptive communication systems. At the same time, it also introduces new challenges related to security, privacy, transparency, accountability, safety, and human oversight, in short, trustworthiness. This panel will explore how human-centric and trustworthy AI principles can be embedded into the design, deployment, and operation and adoption of secure 6G networks. The aim is to ensure that increasing network intelligence does not come at the expense of human values, safety, security, and/or control. The discussion will address key questions around the context of the 6G networks, role of humans, AI-driven automation, robustness, business, responsibility of AI, regulations and governance, and challenges.
Wednesday, October 14 11:00 - 12:30
HP 2: Trustworthy & Explainable AI in Health
- Trustworthy Digital Health Twins through Explainable AI and Ethical Governance
- Disentangling Algorithmic Approximation from Clinical Validity in AI Emergency Triage
- An Explainable Hybrid GraphRAG Framework for Diabetes Risk Stratification
- A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees
ST10: Data-driven wireless/network performance analysis
- Transfer Learning for Spatial-Frequency MIMO Channel Estimation
- Empirical Evaluation of TCP Variants & an Amendment to Veno on a Controlled AWGN-Impaired WiFi Link
- Exploiting Channel Knowledge Mapping for Path Loss Prediction in Aerial Networks
- Z-ROCKET: A Lightweight Method for Whole-Time-Series Anomaly Detection Using Random Convolutional Kernels
ST2: Robust and privacy-preserving distributed/federated AI
- Robust Decentralized Federated Learning with Partial Weight Sharing Against Weight Poisoning Attacks
- Beyond Single-Modality Evaluation: Measuring Robustness Variability of Federated Learning Defenses in Wireless Edge Systems
- Adversarial Robustness of Anomaly Detectors in Industrial Digital Twins: A White-box Attack Study
- On the Interaction of Aggregation Strategies, Privacy Budgets, and Data Heterogeneity in Differentially Private Federated Learning
ST6: Wireless physical-layer optimization: beamforming, RIS & NOMA
- A Novel Physical Layer Design for Addressing the Trade-off between Security and Energy Efficiency
- Receive Beamforming Design for Coexisting Wireless Control and Communication Networks
- Spiking Neural Networks for Energy-Efficient RIS Phase Configuration
- VFD-NOMA with Improper Gaussian Signaling Under Imperfect SIC and Inter-Relay Interference
Wednesday, October 14 14:00 - 15:30
GenXNet'26: The 2nd IEEE International Workshop on Generative and eXplainable Artificial Intelligence for Networking (GenXNet)
- Improving Network Traffic Classification Using Metadata
- Explanation Trust Score for Reliable LLM Incident Reporting in IoMT
- Cost and Confidence Tiered Explainable and Generative Triage for SOC/ CSIRT Operations over Network Telemetry Alerts/Events
- Explaining Temporal Resilience-State Inference of Wireless Industrial Communication Systems
HP 3: Security, Privacy & Federated Learning
- Encryption Vulnerability Graph for Assessing IT System Compliance with Kerckhoffs' Principle in Hea
- 10PH-DVFL: A Communication-Efficient Vertical Federated Learning for Precision Health (10P-Health)
- Zero-Knowledge Federated Learning with Lattice-Based Hybrid Encryption for Quantum-Resilient Medical
- BDD-based Analysis of Classifier Availability under Feature Uncertainty
ST3: Intelligent UAV perception, planning & safety
- TEUCS: Transformer Encoder-based UAV Path Planning for Cattle Search Problem
- Distributed Benchmarking of Vision-Language Models under Semantic Adversarial Attacks in UAV Emergency Scenarios
- UE Status as a Query in End-to-End Vision-Aided Beam Prediction for Mobile Millimeter-Wave Links
- Spatial Situational Awareness for Safe UAVs in XAI-enhanced 6G Networks
ST7: LPWAN, embedded IoT & constrained wireless communications
- The Impact of CSMA on LoRaWAN Communication Efficiency: A Diffusion Approximation Model
- Using multiple Spreading Factors simultaneously in LoRa 2.4 GHz: some solutions
- An Empirical Study of ML-Based Rolling-Shutter OCC Decoding on MCU-Class Receiver Platforms
- Efficient Intrusion Detection for IoT Networks Using Machine Learning Models on ESP32 Microcontroller
Wednesday, October 14 16:00 - 18:00
AIMEH - WS: AI for Mobile & Wireless Health: Advancing Explainability in the Future of Healthcare
- GAN-Augmented Swin Transformer for Breast Cancer Detection in a Three-Tier IoMT Framework
- Task-Oriented Semantic Communication for Digital Pathology over Wireless Channels
- Investigating the Effect of ECG Recording Duration on HRV Reliability and Stress Classification
- Recent Advances in Artificial Intelligence-Driven Internet of Medical Things Networking
ST4: 5G/6G network platforms, slicing & air-interface evolution
- Implementing vRANs on an Arm and GPU system
- Predictive AI-Native Digital Twin for QoS-Security Orchestration in Multi-Cell 6G Networks Using Cell-Aware DRL
- Developing a Magma-based Private 5G SA Network Supporting COTS UE with Global Connectivity
- Performance Evaluation of Preamble-free Packet Transmissions in DECT NR+
ST8: Wireless sensor networks: localization, deployment, routing & SHM
- Localization of Directional Transmitters Using a Variance-Based Metric in Wireless Sensor Networks
- GAPSO: A Hybrid Metaheuristic Approach for the Optimized Deployment of Buried Nodes within a Wireless Underground Sensor Network
- FEM-Guided Placement and AEAR Routing for Heritage Arch SHM: The Great Mosque of Sfax
- Reliability-Aware SDR Beamforming for Underground Environments: A Laboratory Study
Wednesday, October 14 17:30 - 19:00
Women's Network Panel: Wireless Networks for Agentic AI Systems
Abstract
Agentic AI systems are rapidly evolving from passive inference engines into autonomous entities capable of perceiving, reasoning, and acting in dynamic environments. This shift introduces a new class of requirements for wireless networks, where connectivity is no longer limited to transporting data between users and remote computing units, but becomes an integral component of distributed intelligence and autonomous decision-making. This panel will explore how future wireless networks can support large-scale agentic AI ecosystems involving heterogeneous edge devices, e.g., personal devices, robots, and vehicles, that interact with cloud-native AI agents. Key topics include distributed inference and reasoning, semantic and goal-oriented communications, and the joint optimization of communication, computation, sensing, and control. The discussion will also investigate how agentic AI may reshape the design and operation of wireless networks themselves, enabling autonomous network management, adaptive resource allocation, and closed-loop optimization. Bringing together perspectives from wireless communications, networking, and artificial intelligence, the panel will identify key research challenges, architectural choices, and opportunities for agent-native wireless systems toward 6G.
Thursday, October 15
Thursday, October 15 9:00 - 10:30
S1: 5G/6G Network Architecture (RAN/Core/MEC)
- One Edge to Serve Both: A System Model for Joint 6G User Plane and Service Function Allocation
- Joint U-Plane and C-Plane Evaluation of Distributed UPF Deployment: Trade-offs and Practical Guidelines for 5G and Beyond MEC
- Mobility-Aware Edge Rebinding in 5G Networks using SR4MEC
- QoS Provisioning for MEC Application Slices in Beyond 5G Networks
S2: Reconfigurable Intelligent Surfaces & Smart Antenna Systems
- Pinching Antenna System-Assisted Hybrid AirComp-NOMA Uplink: Joint Precoding and Antenna Placement Optimization
- Low-Complexity RIS-Aided MISO-LoRa for IIoT via Equivalent Channel Estimation and Codebook Optimization
- Joint Placement, Phase Shift, and Resource Allocation for Multi-AIRS-Assisted OFDMA Networks
- UAV-Enabled Outdoor OTA Validation Platform for 28 GHz Phased-Array Beamforming Antennas
S3: Network & IoT Security I - Authentication, Key Generation & Security Analytics
- Secure Attestation of ESP32-S3 IoT Devices Based on Intrinsic SRAM PUFs Using Machine Learning and Multi-Objective Optimization
- Continuous Behavioral Authentication via Multi-Expert BERT Log Analysis for Secure Data Sharing
- Keep Private Networks Private II: Wideband Secret Key Generation on a Real 5G NR Testbed
- BiLCNet: BiLSTM-Conformer Network for Encrypted Traffic Classification with 5G SA Physical Channel Records
Thursday, October 15 11:00 - 11:30
OP: WiMob 2026 Opening Ceremony
Thursday, October 15 11:30 - 12:30
Keynote 1: Beyond Connectivity: Explainable and Robust AI for 6G Control Systems
Professor at the Department of Electrical and Electronics Engineering, Koc University
Abstract
Future wireless networks are undergoing a fundamental paradigm shift, from enabling communication among humans to enabling real-time control of complex physical systems. While 5G enabled large-scale machine-type communications and data collection, 6G aims to transform this data into actionable intelligence for applications such as UAV swarms, collaborative robots, and cooperative autonomous vehicles. In this context, communication systems must evolve beyond throughput and latency metrics to support goal-oriented, semantics-aware, and ultra-reliable control loops, where rare failures can be catastrophic. This keynote presents a unified perspective on explainable and robust AI as a key enabler of control-centric 6G networks. First, we integrate extreme value theory with generative AI to model and predict rare but critical events for ultra-reliable communications. This approach moves beyond average-case analysis and provides a principled framework for reliability guarantees in next-generation networks. Second, we develop optimization-theoretic AI frameworks for robust and safe radio resource management in wireless networked control systems. By leveraging structure-aware and safety-constrained learning methods, these approaches bridge the gap between data-driven intelligence and control-theoretic guarantees. Third, we demonstrate the role of explainable AI in achieving robustness, interpretability, and trust in safety-critical scenarios. Overall, we argue that combining generative modeling, optimization, extreme value theory and explainable AI will be instrumental in moving beyond connectivity toward intelligent, reliable, and controllable 6G systems.
Biography
Sinem Coleri is a Professor in the Department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL) and director of Ford Otosan Automotive Technologies Laboratory. Sinem Coleri received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University. Her research interests are in 6G wireless communications and networking, AI-based wireless networks, machine-to-machine communications, wireless networked control systems and vehicular networks. Dr. Coleri has more than 150 publications with citations over 13000 (Google scholar profile). She has received numerous awards and recognitions, including TUBITAK (The Scientific and Technological Research Council of Turkey) Science Award in 2024; N2Women: Stars in Computer Networking and Communications in 2022; TUBITAK Incentive Award and IEEE Vehicular Technology Society Neal Shepherd Memorial Best Propagation Paper Award in 2020; Outstanding Achievement Award by Higher Education Council in 2018; and Turkish Academy of Sciences Distinguished Young Scientist (TUBA-GEBIP) Award in 2015. Dr. Coleri currently holds the position of Editor-in-Chief at the IEEE Open Journal of the Communications Society. Dr. Coleri is an IEEE Fellow and AAIA Fellow.
Thursday, October 15 14:00 - 15:30
S4: Energy-Efficient Wireless Systems
- Channel-Chart-Driven Antenna Activation for Energy-Efficient Cell-Free Massive MIMO
- Open Distributed Unit (O-DU) Dynamic Core and DVFS Optimisation for Energy--Latency Trade-offs
- Constrained Discrete Bayesian Optimization for Base Station Sleep Mode in Cellular Networks
- On the Impact of Recent 5G/6G BS Power Models on Energy Efficiency Studies
S5: Localization, Positioning & Radio Environment Mapping
- OWL: Enabling Orientation-Diverse Wireless Localization Research
- Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation
- Embedding Propagation Models into Neural Networks for Physics-Informed Localization
- DAG-TransLoc: Domain-Generalized Indoor Localization with Variable Anchor Configurations
S6: Satellite, Optical & Quantum Communications
- An Empirical Study on Free Space Optical Backhaul
- A Bi-objective Model to Quantify the Load-Latency Trade-off in LEO Constellation Routing
- Parameter-Based Channel Estimation for OFDM CV-QKD Systems With CRLB Benchmarking and Secret Key Rate Analysis
- PPO-Based Quantum-Aware Resource Optimization for Decoy-State BB84 in FSO Wireless Networks
Thursday, October 15 16:00 - 17:40
S7: Network & IoT Security II - Attack & Intrusion Detection
- Analysis of DoS Attacks on Digital Twin-based AoI-aware Wireless Transmission Scheduling
- UVIF-IoT: Calibrated and Feature-Efficient Intrusion Detection with Forensic Triage for IoT Edge Security
- Testbed-Driven Class-Aware Synthetic Data Augmentation for 5G DDoS Detection
- DAMG-LiquidIDS: A Drift-Aware Feature-Gated Liquid Neural Network for Intrusion Detection in Dynamic IoT and Mobile Networks
Thursday, October 15 16:00 - 17:30
S8: Network Optimization & Programmability
- Goal-Oriented Resource Allocation for 6G Radio Access Networks with Spatial Reuse
- CLA-Score: A Criticality Loss Age Packet Selection Policy for Heterogeneous Traffic in IEEE 802.15.4e TSCH Networks
- A Comprehensive Comparative Study of Metaheuristic Algorithms for the Controller Placement Problem in SDN-IoT Networks
- Towards a Hybrid Management Protocol Stack in Programmable Wireless Networks
S9: Channel Estimation & Coding
- AI-Driven Geometry-Aware Zero-Pilot Downlink Channel Prediction for Large Frequency Gaps in 5G
- Robust Huber-IRLS Channel Estimation for VLC Under Signal-Dependent and Impulsive Noise
- Neural-Residual LMMSE Estimation for Measured V-VLC Channels Under Composite Optical Noise
- Design SNR Optimization of Polar Codes for Successive Cancellation List Decoding
Friday, October 16
Friday, October 16 9:00 - 10:30
S10: Vehicular, Tactical & Mobility Networking
- CreV: A Lightweight Challenge-Response Exchange Protocol and Frame Design for Secure V2V Communications
- Road Safety Applications vs. Network Constraints: Feasibility Limits of IEEE 802.11p
- RIMA-HO: Radio Interface Management Approach for Handover Optimization in Heterogeneous C-ITS Environments
- Evaluation of a LoRa-based mesh networking protocol for tactical communications
S11: Federated Learning I - Systems & Applications
- Multidimensional Contract Design for In-Network Aggregation in Hierarchical Federated Learning
- Incentivizing Efficient Zeroth-Order Federated Fine-Tuning of Generative AI in Satellite-UAV Cooperative Networks
- A Temporal Stability Metric for Clustering-Aware Federated Learning in UAV-Assisted Vehicular Networks
- Federated Learning with AMR-Assisted Few-Shot Calibration for Cross-Facility BLE Indoor Localization
S12: AI-Driven Optimization & Energy Management
- Decentralized node selection approach for load-balanced data collection in photovoltaic monitoring systems
- Cross-Attention Adaptive Fusion for Multi-Step Photovoltaic Power Forecasting from Real Multi-Site Measurements
- Trajectory-Agnostic Charging Scheduling in 6G Mobile WRSNs Using Adaptive Charger Movement for Sensor Tracking
- Reinforcement Learning for Adaptive Synchronization in 5G Network Digital Twins
Friday, October 16 11:30 - 12:30
Keynote 2: Empowering Next-Generation User Experiences and Services at Scale with 6G
Director of Engineering, Qualcomm France
Abstract
This keynote explores how 6G is being developed as a transformative, AI-native wireless platform to power the next generation of digital and virtual experiences. Discover how 6G is designed to harness advancements in multi-modal AI, extended reality (XR), edge computing, digital twins, and sensing technologies to unlock new use cases. Qualcomm's advanced research will enable immersive, intent and context-based experiences that were previously unimaginable at scale.
Biography
Amira Alloum, PhD, is Director of Engineering at Qualcomm France, where she leads the European 5G/6G Wireless Research Center. In this role, she drives advanced research in wireless communications, in close collaboration with leading academic institutions and major industrial partners across Europe. The center plays a strategic role in national and European innovation ecosystems, with strong involvement in flagship European 6G research programs. Amira has also led Qualcomm's 5G/6G Innovation Platform project in Lannion, a program funded under the France 2030 initiative, which aims to position France at the forefront of next generation mobile networks and to accelerate the industrial adoption of 5G and future 6G technologies. In parallel, she oversees Qualcomm's collaboration programs with universities and startups across the EMEA region, while continuing to contribute to academia through postgraduate supervision and lecturing on error correcting code applications for wireless systems. With over two decades of R&D experience spanning network operators, equipment vendors, and semiconductor companies, Amira has made significant contributions to 3GPP 5G standardization, LTE and DVB technologies, as well as to research in post quantum security and advanced receiver architectures for wireless and optical communications. Beyond her research and industrial activities, Amira is a member of the Scientific Council of the ARCEP Future Networks Committee and has contributed extensively to the IEEE through sustained leadership service, including chairing roles in several technical and organizational committees. She holds a PhD in Information Theory from Institut Mines Télécom / Télécom Paris and has an extensive publication and student supervision record in collaboration with leading international universities.
Friday, October 16 14:00 - 15:30
S13: UAV Systems & Aerial Networking
- A Reactive Cross-Layer QoS Adaptation Framework for SDN-Enabled DDS Communications in IoD
- Modeling and Predicting LTE-Induced Learnability Cliffs in RL-Controlled UAV Swarms
- Network Congestion-aware Path Planning for Indoor Multi-UAV Systems
- An Hybrid Two-Stage Architecture for Anomaly Detection in LEO Satellite Orbit
S14: Wireless Sensing, ISAC & Human Activity Recognition
- RobWDM: Hardware-Accelerated CNN Meeting Wavenumber-Domain Method for Robust Near-Field Sensing
- XAI2CSI: Interpreting CSI with eXplainable AI for Human Activity Recognition
- Geometry over Depth: Multi-Node WiFi CSI Fusion for Robust Human Activity Recognition
- Feedback Control via Integrated Sensing and Communication: Uncertainty Optimisation
SPD1: Distributed Learning and Security
- Demo: Tracing a DSM-5 Depression Assessment from Score to Formula on Edge Hardware
- Lightweight Multi-Scale CNN Embeddings for Edge-Aware Malware Detection from API-Call Sequences
- A data-centric security architecture for challenged networks
- PRISM: RL-Based Rate Control for Low Latency and High Data Rate in Mobile Edge Networks
- FL-Broadcast: Efficient Decentralized Learning on Wireless Networks
Friday, October 16 16:00 - 17:40
S15: Federated Learning II - Security & Robustness
- Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
- NetHE-FL: Network-Adaptive CKKS-Protected Federated Learning for Healthcare IoT Systems
- Can Federated Learning Backdoor Defenses Protect Parallel Split-Federated Learning?
- BAF-Defense: A Bi-Branch Autoencoder Fusion Defense Against Label-Flipping Attacks in Federated Learning
- FADIoT: Federated GANomaly with Temporal NetFlow Features and Perturbation-Aware Training for Privacy-Preserving IoT DDoS Detection
Friday, October 16 16:00 - 17:30
S16: WiFi Networks & Integrated Sensing
SPD2: Advanced Wireless Networks and Communication Systems
- Challenging computer architectures with an intensive vRAN deployment
- 5G and Beyond: Analytical Comparison of Real NG-RAN Implementations
- Improving IoT Content Distribution with In-network Redundancy-Aware Semantic Caching
- Communication-Oriented Evaluation of Swarm Configurations for Lunar Radio Astronomy
- Performance Comparison between Monolithic gNB and DU-CU Split Deployments in 5G Networks
