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ORCID25th MobiHoc 2024: Athens, Greece
- Symeon Papavassiliou, Stefan Schmid:
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. ACM 2024, ISBN 979-8-4007-0521-2
IoT Systems
- Siyu Chen
, Hongbo Jiang, Jie Xiong, Jingyang Hu, Penghao Wang, Chao Liu, Zhu Xiao, Bo Li:
BeamCount: Indoor Crowd Counting Using Wi-Fi Beamforming Feedback Information. 1-10 - Xie Zhang, Chenshu Wu:
TADAR: Thermal Array-based Detection and Ranging for Privacy-Preserving Human Sensing. 11-20 - Mohamed Ibrahim Ahmed, Atul Bansal, Kuang Yuan, Junbo Zhang, Swarun Kumar:
Towards Ubiquitous IoT through Long Range Wireless Energy Harvesting. 21-30 - Hanying Zou, Dan Xia, Xiaolong Zheng, Liang Liu, Huadong Ma:
BleHe: Indoor Positioning Using a Single BLE Base Station with Height Correction. 31-40
Multi-Armed Bandits
- I-Hong Hou:
Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback. 41-50 - Yumou Liu, Haoming Li, Zhenzhe Zheng, Fan Wu, Guihai Chen:
On the Analysis of Two-Stage Stochastic Bandit. 51-60 - Qi Shao, Jiancheng Ye, John C. S. Lui:
Risk-Aware Multi-Agent Multi-Armed Bandits. 61-70 - Nida Zamir, I-Hong Hou:
Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling. 71-80
Edge Computing Systems
- Chang Liu, Jun Zhao:
Resource Allocation for Stable LLM Training in Mobile Edge Computing. 81-90 - Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff:
Efficient Multi-dimensional Compression for Network-edge Classification. 91-100 - Archana Bura, Sarat Chandra Bobbili, Shreyas Rameshkumar, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai:
Structured Reinforcement Learning for Media Streaming at the Wireless Edge. 101-110 - Zefan Wang, Yitong Wang, Jun Zhao:
Resource Allocation and Secure Wireless Communication in the Large Model based Mobile Edge Computing System. 111-120
Federated Learning
- Yudi Huang, Tingyang Sun, Ting He:
Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks. 121-130 - Xiang Li, Yuan Luo, Bing Luo, Jianwei Huang:
Social Welfare Maximization for Federated Learning with Network Effects. 131-140 - Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff:
Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? 141-150 - Ruirui Zhang, Yifei Zou, Zhenzhen Xie, Xiao Zhang, Peng Li, Zhipeng Cai, Xiuzhen Cheng, Dongxiao Yu:
Federating from History in Streaming Federated Learning. 151-160
Resource Allocation and Scheduling
- Livia Elena Chatzieleftheriou, Jesús Pérez-Valero, Jorge Martín-Pérez, Pablo Serrano:
Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration. 161-170 - Rahul Vaze:
Scheduling Multi-Server Jobs is Not Easy. 171-180 - Nicholas Jones, Eytan H. Modiano:
Optimal Slicing and Scheduling with Service Guarantees in Multi-Hop Wireless Networks. 181-190 - Samira Ghanbarian, Arpan Mukhopadhyay, Ravi R. Mazumdar, Fabrice M. Guillemin:
On Optimal Server Allocation for Moldable Jobs with Concave Speed-Up. 191-200
Wireles Systems and Sensing
- Liangxin Qian, Jun Zhao:
Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless Communications. 201-210 - Tao Ni, Zehua Sun, Mingda Han, Yaxiong Xie, Guohao Lan, Zhenjiang Li, Tao Gu, Weitao Xu:
REHSense: Towards Battery-Free Wireless Sensing via Radio Frequency Energy Harvesting. 211-220 - Mohit Jain, Anis Mishra, Andreas Wiese, Syamantak Das, Arani Bhattacharya, Mukulika Maity:
A Deadline-Aware Scheduler for Smart Factory using WiFi 6. 221-230
Machine Learning-Based Systems
- Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, Ki-Il Kim:
Active Learning for WBAN-based Health Monitoring. 231-240 - Dawei Yan, Panlong Yang, Fei Shang, Feiyu Han, Yubo Yan, Xiang-Yang Li:
freeGait: Liberalizing Wireless-based Gait Recognition to Mitigate Non-gait Human Behaviors. 241-250 - Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, Lizhong Zheng, Randy C. Marchany, Mark Gardner, Y. Thomas Hou, Wenjing Lou:
Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning. 251-260 - Jingyu Tong, Zhenlin An, Xiaopeng Zhao, Sicong Liao, Lei Yang:
In-Sensor Machine Learning: Radio Frequency Neural Networks for Wireless Sensing. 261-270
Online Learning and Optimization
- Xin Liu, Honghao Wei, Lei Ying:
Optimistic Joint Flow Control and Link Scheduling with Unknown Utility Functions. 271-280 - Ghina Al-Atat, Puranjay Datta, Sharayu Moharir, Jaya Prakash Champati:
Regret Bounds for Online Learning for Hierarchical Inference. 281-290 - Yunshu Liu, Man Hon Cheung, Jianwei Huang:
Online Learning in Blockchain-based Energy Trading Systems. 291-300 - Jerrod Wigmore, Brooke Shrader, Eytan H. Modiano:
Intervention-Assisted Online Deep Reinforcement Learning for Stochastic Queuing Network Optimization. 301-310
Age of Information
- Sixiang Zhou, Xiaojun Lin:
On the Active-Time Condition for Partial Indexability and Application to Heterogeneous-Channel AoI Minimization. 311-320 - Meng Zhang, Howard H. Yang, Ahmed Arafa, H. Vincent Poor:
Age of Information in Mobile Networks: Fundamental Limits and Tradeoffs. 321-330 - Egemen Erbayat, Ali Maatouk, Peng Zou, Suresh Subramaniam:
Age of Information Optimization and State Error Analysis for Correlated Multi-Process Multi-Sensor Systems. 331-340
Measurement and Monitoring Systems
- Subrata Das, Ayon Chakraborty:
SkySCALE: A Radio Tomographic Approach Towards Scaling UAV Network Deployments. 341-350 - Jiahui Sun, Guiyun Fan, Haiming Jin, Yiwen Song, Tianyuan Liu, Chenhao Ying, Yuan Luo, Jie Li:
Multi-Task-Oriented UAV Crowd Sensing with Charging Budget Constraint. 351-360 - Xiaoxuan Liang, Zhaolong Wei, Dong Li, Jie Xiong, Jeremy Gummeson:
SONDAR: Size and Shape Measurements Using Acoustic Imaging. 361-370
DEMONSTRATION SESSION: Demo and Poster
- Jorge Baranda, Albert Bel, Sergio Barrachina-Muñoz, Miquel Payaró, Josep Mangues-Bafalluy:
Demo: On-demand Disaggregated Deployment of Cloud-Native Mobile Networks from Core to RAN. 371-372 - Federico Trombetti, Riccardo Tittarelli, Elena Valsecchi, Francesco Palandra, Gaia Maselli:
Demo: Developing a Fully Autonomous DJI Payload. 373-374 - Dimitrios Kafetzis, Iordanis Koutsopoulos:
Demo: An Experimental Platform for AI Model Partitioning on Resource-constrained Devices. 375-376 - Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao, Bing Luo:
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics. 377-378 - Alekhya Gorrela, Samyu Kamtam, Nikumani Choudhury:
POSTER: Quick Convergence of ADR Mechanism in Dense & Dynamic LoRa-based IoT Networks. 379-380
WORKSHOP SESSION: ASoI Workshop
- Jiping Luo, Nikolaos Pappas:
Minimizing the Age of Missed and False Alarms in Remote Estimation of Markov Sources. 381-386 - Nail Akar, Melih Bastopcu, Sennur Ulukus, Tamer Basar:
Modeling Interfering Sources in Shared Queues for Timely Computations in Edge Computing Systems. 387-391 - Michael V. Lipski, Clement Kam, Sastry Kompella, Tony Ephremides:
Age of Channel State Information for Collaborative Beamforming. 392-397 - Georgios Kallitsis, Eleni Stai, Vasileios Karyotis, Symeon Papavassiliou:
Enhancing the Cross-layer Operation in Wireless Energy-Harvesting Networks with Age-of-Information Features. 398-403 - Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur Ulukus:
CAFe: Cost and Age aware Federated Learning. 404-409 - Konstantinos Bountrogiannis, Ioannis Papoutsidakis, Anthony Ephremides, Panagiotis Tsakalides, George Tzagkarakis:
Variable-Length Stop-Feedback Coding for Minimum Age of Incorrect Information. 410-415 - Zhilin Lu, Rongpeng Li, Zhifeng Zhao, Jianhua Liu, Ming Lei, Honggang Zhang:
Multiple Gradient Descent-based Reinforcement Learning for Multi-Task Semantic Broadcast Communication. 416-421 - Long Li, Gaolei Li, Shuilin Li, Rui Xu, Jianhua Li:
ZeroTKS: Zero-trust Knowledge Synchronization via Federated Fine-tuning for Secure Semantic Communications. 422-427
WORKSHOP SESSION: AIoT Workshop
- Panagiotis Kapsalis, Giovanni Rimassa, Engin Zeydan, Selva Via, Fulvio Risso, Carla-Fabiana Chiasserini, Giulio Vivo:
A Next Generation Architecture for Internet of Things in the Automotive Supply Chain for Electric Vehicles. 428-433 - Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li:
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. 434-439 - Amartya Basu, Ayon Chakraborty:
SpecNeRF: Neural Radiance Field Driven Wireless Coverage Mapping for 5G Networks. 440-445 - Farzam Nosrati, Emebet Gelaw, Roberto Corallo, Silvia Schilleci, Alessio Vicario, Daniele Croce:
Cooperative Spectrum Sensing for Beyond-5G Networks in Fading Environments. 446-451 - Snehadeep Gayen, Yamini Shankar, Ayon Chakraborty:
Improving Network Resource Utilization for Distributed Wireless Sensing Applications. 452-457 - Benjamín Arratia, Erika Rosas, Ermanno Pietrosemoli, Marco Zennaro, José Maria Cecilia, Pietro Manzoni:
AI*LoRa: Enabling Efficient Long-Range Communication with Machine Learning at the Edge. 458-463
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