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| 2024 | A Next Generation Architecture for Internet of Things in the Automotive Supply Chain for Electric Vehicles. Panagiotis Kapsalis, Giovanni Rimassa, Engin Zeydan, Selva Via, Fulvio Risso, Carla-Fabiana Chiasserini, Giulio Vivo |
| 2024 | AI*LoRa: Enabling Efficient Long-Range Communication with Machine Learning at the Edge. Benjamín Arratia, Erika Rosas, Ermanno Pietrosemoli, Marco Zennaro, José Maria Cecilia, Pietro Manzoni |
| 2024 | Active Learning for WBAN-based Health Monitoring. Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, Ki-Il Kim |
| 2024 | Age of Channel State Information for Collaborative Beamforming. Michael V. Lipski, Clement Kam, Sastry Kompella, Tony Ephremides |
| 2024 | Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems. Egemen Erbayat, Ali Maatouk, Peng Zou, Suresh Subramaniam |
| 2024 | Age of Information in Mobile Networks: Fundamental Limits and Tradeoffs. Meng Zhang, Howard H. Yang, Ahmed Arafa, H. Vincent Poor |
| 2024 | BeamCount: Indoor Crowd Counting Using Wi-Fi Beamforming Feedback Information. Siyu Chen, Hongbo Jiang, Jie Xiong, Jingyang Hu, Penghao Wang, Chao Liu, Zhu Xiao, Bo Li |
| 2024 | BleHe: Indoor Positioning Using a Single BLE Base Station with Height Correction. Hanying Zou, Dan Xia, Xiaolong Zheng, Liang Liu, Huadong Ma |
| 2024 | CAFe: Cost and Age aware Federated Learning. Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur Ulukus |
| 2024 | Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff |
| 2024 | Cooperative Spectrum Sensing for Beyond-5G Networks in Fading Environments. Farzam Nosrati, Emebet Gelaw, Roberto Corallo, Silvia Schilleci, Alessio Vicario, Daniele Croce |
| 2024 | Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications. Liangxin Qian, Jun Zhao |
| 2024 | Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling. Nida Zamir, I-Hong Hou |
| 2024 | Demo: An Experimental Platform for AI Model Partitioning on Resource-constrained Devices. Dimitrios Kafetzis, Iordanis Koutsopoulos |
| 2024 | Demo: Developing a Fully Autonomous DJI Payload. Federico Trombetti, Riccardo Tittarelli, Elena Valsecchi, Francesco Palandra, Gaia Maselli |
| 2024 | Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics. Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao, Bing Luo |
| 2024 | Demo: On-demand Disaggregated Deployment of Cloud-Native Mobile Networks from Core to RAN. Jorge Baranda, Albert Bel, Sergio Barrachina-Muñoz, Miquel Payaró, Josep Mangues-Bafalluy |
| 2024 | Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback. I-Hong Hou |
| 2024 | Efficient Multi-dimensional Compression for Network-edge Classification. Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff |
| 2024 | Enhancing the Cross-layer Operation in Wireless Energy-Harvesting Networks with Age-of-Information Features. Georgios Kallitsis, Eleni Stai, Vasileios Karyotis, Symeon Papavassiliou |
| 2024 | Federating from History in Streaming Federated Learning. Ruirui Zhang, Yifei Zou, Zhenzhen Xie, Xiao Zhang, Peng Li, Zhipeng Cai, Xiuzhen Cheng, Dongxiao Yu |
| 2024 | Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning. Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, Lizhong Zheng, Randy C. Marchany, Mark Gardner, Y. Thomas Hou, Wenjing Lou |
| 2024 | Improving Network Resource Utilization for Distributed Wireless Sensing Applications. Snehadeep Gayen, Yamini Shankar, Ayon Chakraborty |
| 2024 | In-Sensor Machine Learning: Radio Frequency Neural Networks for Wireless Sensing. Jingyu Tong, Zhenlin An, Xiaopeng Zhao, Sicong Liao, Lei Yang |
| 2024 | Intervention-Assisted Online Deep Reinforcement Learning for Stochastic Queuing Network Optimization. Jerrod Wigmore, Brooke Shrader, Eytan H. Modiano |
| 2024 | Minimizing the Age of Missed and False Alarms in Remote Estimation of Markov Sources. Jiping Luo, Nikolaos Pappas |
| 2024 | Modeling Interfering Sources in Shared Queues for Timely Computations in Edge Computing Systems. Nail Akar, Melih Bastopcu, Sennur Ulukus, Tamer Basar |
| 2024 | Multi-Task-Oriented UAV Crowd Sensing with Charging Budget Constraint. Jiahui Sun, Guiyun Fan, Haiming Jin, Yiwen Song, Tianyuan Liu, Chenhao Ying, Yuan Luo, Jie Li |
| 2024 | Multiple Gradient Descent-based Reinforcement Learning for Multi-Task Semantic Broadcast Communication. Zhilin Lu, Rongpeng Li, Zhifeng Zhao, Jianhua Liu, Ming Lei, Honggang Zhang |
| 2024 | On Optimal Server Allocation for Moldable Jobs with Concave Speed-Up. Samira Ghanbarian, Arpan Mukhopadhyay, Ravi R. Mazumdar, Fabrice M. Guillemin |
| 2024 | On the Active-Time Condition for Partial Indexability and Application to Heterogeneous-Channel AoI Minimization. Sixiang Zhou, Xiaojun Lin |
| 2024 | On the Analysis of Two-Stage Stochastic Bandit. Yumou Liu, Haoming Li, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2024 | Online Learning in Blockchain-based Energy Trading Systems. Yunshu Liu, Man Hon Cheung, Jianwei Huang |
| 2024 | Optimal Slicing and Scheduling with Service Guarantees in Multi-Hop Wireless Networks. Nicholas Jones, Eytan H. Modiano |
| 2024 | Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions. Xin Liu, Honghao Wei, Lei Ying |
| 2024 | Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks. Yudi Huang, Tingyang Sun, Ting He |
| 2024 | POSTER: Quick Convergence of ADR Mechanism in Dense & Dynamic LoRa-based IoT Networks. Alekhya Gorrela, Samyu Kamtam, Nikumani Choudhury |
| 2024 | Proceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, MOBIHOC 2024, Athens, Greece, October 14-17, 2024 Symeon Papavassiliou, Stefan Schmid |
| 2024 | REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting. Tao Ni, Zehua Sun, Mingda Han, Yaxiong Xie, Guohao Lan, Zhenjiang Li, Tao Gu, Weitao Xu |
| 2024 | Regret Bounds for Online Learning for Hierarchical Inference. Ghina Al-Atat, Puranjay Datta, Sharayu Moharir, Jaya Prakash Champati |
| 2024 | Resource Allocation and Secure Wireless Communication in the Large Model based Mobile Edge Computing System. Zefan Wang, Yitong Wang, Jun Zhao |
| 2024 | Resource Allocation for Stable LLM Training in Mobile Edge Computing. Chang Liu, Jun Zhao |
| 2024 | Risk-Aware Multi-Agent Multi-Armed Bandits. Qi Shao, Jiancheng Ye, John C. S. Lui |
| 2024 | SONDAR: Size and Shape Measurements Using Acoustic Imaging. Xiaoxuan Liang, Zhaolong Wei, Dong Li, Jie Xiong, Jeremy Gummeson |
| 2024 | Scheduling Multi-Server Jobs is Not Easy. Rahul Vaze |
| 2024 | SkySCALE: A Radio Tomographic Approach Towards Scaling UAV Network Deployments. Subrata Das, Ayon Chakraborty |
| 2024 | Social Welfare Maximization for Federated Learning with Network Effects. Xiang Li, Yuan Luo, Bing Luo, Jianwei Huang |
| 2024 | SpecNeRF: Neural Radiance Field Driven Wireless Coverage Mapping for 5G Networks. Amartya Basu, Ayon Chakraborty |
| 2024 | Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | Structured Reinforcement Learning for Media Streaming at the Wireless Edge. Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai |
| 2024 | Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration. Livia Elena Chatzieleftheriou, Jesús Pérez-Valero, Jorge Martín-Pérez, Pablo Serrano |
| 2024 | TADAR: Thermal Array-based Detection and Ranging for Privacy-Preserving Human Sensing. Xie Zhang, Chenshu Wu |
| 2024 | Towards Ubiquitous IoT through Long Range Wireless Energy Harvesting. Mohamed Ibrahim Ahmed, Atul Bansal, Kuang Yuan, Junbo Zhang, Swarun Kumar |
| 2024 | Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information. Konstantinos Bountrogiannis, Ioannis Papoutsidakis, Anthony Ephremides, Panagiotis Tsakalides, George Tzagkarakis |
| 2024 | ZeroTKS: Zero-trust Knowledge Synchronization via Federated Fine-tuning for Secure Semantic Communications. Long Li, Gaolei Li, Shuilin Li, Rui Xu, Jianhua Li |
| 2024 | freeGait: Liberalizing Wireless-based Gait Recognition to Mitigate Non-gait Human Behaviors. Dawei Yan, Panlong Yang, Fei Shang, Feiyu Han, Yubo Yan, Xiang-Yang Li |