23. WiOpt 2025: Linköping, Sweden
23rd International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks, WiOpt 2025, Linköping, Sweden, May 26-29, 2025
Nikolaos Pappas, Eytan Modiano, Ahmed Arafa
IFIP Open Digital Library, IEEE Xplore, ISBN: 978-3-903176-73-7
Contents
SpaSWiN
Interference in Millimeter-Wave Systems with Directional RTS/CTS Handshake
Zhuoling Chen, Yi Zhong, Howard Yang
Closed-form analysis of Multi-RIS Reflected Signals in RIS-Aided Networks Using Stochastic Geometry
Guodong Sun, Francois Baccelli
Adaptive determinantal scheduling with fairness in wireless networks
Paul Keeler, Bartlomiej Błaszczyszyn
Mehrdad Salimnejad, William Tärneberg, Christian Nyberg, Nikolaos Pappas
ISACWorkshop: Integrated Sensing and Communications
Network-Centric Countermeasures Against Integrated Sensing Enabled Jamming Adversaries
Soumita Hazra, J Harshan
Antenna Topology Optimization for Distributed Integrated Sensing and Communication
Kaitao Meng, Kawon Han, Christos Masouros
One Target, Many Views: Multi-User Fusion for Collaborative Uplink ISAC
Sajad Daei, Gabor Fodor, Mikael Skoglund
Power Control Optimization for Multibeam Joint Communication and Sensing Systems
Caio Figueredo, Walter Freitas, Yuri Silva, Roberto Antonioli, Gabor Fodor
Sensing Assisted Localization Services for Indoor Environments
Theodoros Skandamis, Georgios Alogdianakis, Konstantinos Antonopoulos, Evanthia Faliagka, Dimitrios Karadimas, Christos Masouros, Christos Antonopoulos, Nikolaos Voros
WMLC
Model-Heterogeneous Prototypical Federated Learning Over the Air
Chuhan Sun, Zihan Chen, Liyinglan Liu, Tony Q. S. Quek, Howard Yang
Ankita Tondwalkar, Andres Kwasinski
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise With Median Anchored Clipping
Jiaxing Li, Zihan Chen, Kai Fong Ernest Chong, Bikramjit Das, Tony Q. S. Quek, Howard Yang
RAWNET: International Workshop on Resource Allocation and Cooperation in Wireless Networks
Cooperative Dynamic Spectrum Access for Large-Scale Networks using Directional Antennas
Irfan Tamim, Carlos Caicedo Bastidas, Igor Kadota, Gil Zussman
Performing Load Balancing under Constraints
Andrea Fox, Francesco De Pellegrini, Eitan Altman, Arnob Ghosh, Ness Shroff
Cosine Phase Based Representation of Signals for Remote Monitoring in Multiuser Wireless Networks
Pedro Gória Silva, Jules Moualeu, Nicola Marchetti, Daniel Gutierrez-Rojas, Rausley de Souza, Pedro Nardelli
Scheduling and Routing
Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems
Sunjung Kang, Vishrant Tripathi, Christopher Brinton
Centralized Versus Distributed Routing for Large-Scale Satellite Networks
Rudrapatna Vallabh Ramakanth, Eytan Modiano
Convexity and Optimization in Deficit Round Robin Scheduling for Delay-Constrained Systems
Aniket Mukherjee, Joy Kuri, Chandramani Singh
Optimizing Age of Information in Networks with Large and Small Updates
Zhuoyi Zhao, Vishrant Tripathi, Igor Kadota
Spectral Co-Clustering Based Wireless Network Decomposition for Resource Scheduling
Yiyu Liu, Yilin Xiao, Ming Tang, Lin Gao, Jianwei Huang
Reinforcement Learning
Gyu Seon Kim, Jaehyun Chung, Trung Duong, Soohyun Park, Joongheon Kim
A Novel Switch-Type Policy Network for Resource Allocation Problems
Jerrod Wigmore, Brooke Shrader, Eytan Modiano
Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
Yubo Zhang, Pedro Botelho, Trevor Gordon, Gil Zussman, Igor Kadota
Tabular and Deep Reinforcement Learning for Gittins Index
Harshit Dhankhar, Kshitij Mishra, Tejas Bodas
Huiyeon Jang, Junyoung Kim, Min-Su Shin, In Sop Cho, Soyi Jung
Network Computation and Inference
Rahul Vaze, Jayakrishnan Nair
QoS Aware Video Analysis over Low-Cost Edge-Cluster: A Utility Minimization Approach
Suvadip Batabyal, Sudip Misra, Ozgur Ercetin
LOAM: Low-latency Communication, Caching and Computation in Data-Intensive Computing Networks
Jinkun Zhang, Edmund Yeh
Large Language Model Partitioning for Low-Latency Inference at the Edge
Dimitrios Kafetzis, Ramin Khalili, Iordanis Koutsopoulos
A Mixed-Integer Linear Programming Approach for Congestion-Aware Optimized NFV Deployment
Mohammad Raayatpanah, Thomas Weise, Jocelyne Elias, Fabio Martignon, Andrea Pimpinella
Age of Information
Timely Data Delivery for Heterogeneous IoT Applications
Verónica Toro-Betancur, Gopika Premsankar, Lorenzo Corneo, Mario Di Francesco
Revisiting Estimation Quality: Significance-Aware Age of Consecutive Error
Jiping Luo, Nikolaos Pappas
Channel Sensing and Access
Understanding Channel Access in Timely Status Updates: Random Access or Scheduled Access?
Zhiling Yue, Yuting Tang, Nikolaos Pappas, Yaru Fu, Howard Yang
Frequency Assignment for Guaranteed QoS in Two-Ray Models with Limited Location Information
Karl-Ludwig Besser, Eduard Jorswieck, Justin Coon, H. Vincent Poor
Wilker Feitosa, Igor Guerreiro, F. Rodrigo Cavalcanti, Juno Saraiva, Maria Clara Lobão, Yuri Silva, Gabor Fodor
Adaptive Algorithms for Automatic Link Selection in Multiple Access with Link Failures
Mevan Wijewardena, Michael Neely
Network Markets and Privacy
Information-Theoretic Fairness with A Bounded Statistical Parity Constraint
Amirreza Zamani, Abolfazl Changizi, Ragnar Thobaben, Mikael Skoglund
Strategic Prompt Pricing for AIGC Services: A User-Centric Approach
Xiang Li, Bing Luo, Jianwei Huang, Yuan Luo
A Stochastic Geometry Based Techno-Economic Analysis of RIS-Assisted Cellular Networks
Guodong Sun, Francois Baccelli, Luis Uzeda Garcia, Stefano Paris
Learning to Bid in Proportional Allocation Auctions with Budget Constraints
Younes Ben Mazziane, Cleque-marlain Mboulou-Moutoubi, Francesco De Pellegrini, Eitan Altman
Wireless Market Competition with Time/Frequency Prioritized Spectrum Sharing
Yaxuan Liu, Qixuan Zai, Randall Berry
AI/ML Based Network Algorithms
Learning to Wirelessly Deliver Consistent and High-Quality Interactive Panoramic Scenes
Juaren Steiger, Xiaoyi Wu, Bin Li
Communication-Efficient Cooperative Localization: A Graph Neural Network Approach
Yinan Zou, Christopher Brinton, Vishrant Tripathi
Hazem Chaabi, Nathalie Mitton
Distributed Learning
Towards Federated Learning Over the Air: Why Scaling Up Helps?
Jiaqi Zhu, Bikramjit Das, Nikolaos Pappas, Howard Yang
SegOTA: Accelerating Over-the-Air Federated Learning with Segmented Transmission
Chong Zhang, Min Dong, Ben Liang, Ali Afana, Yahia Ahmed
Resource Management for Edge-Assisted Learning with Deterministic Reliability Constraints
Francesco Binucci, Osvaldo Simeone, Paolo Banelli
Explainability and Continual Learning meet Federated Learning at the Network Edge
Thomas Tsouparopoulos, Iordanis Koutsopoulos
Federated Non-Stochastic Multi-Armed Bandit for Channel Sensing in Cognitive Radio Systems
Kinda Khawam, Farah Yassine, Samer Lahoud, Yujie Tang, Dominique Quadri, Steven Martin
Multi-antenna and Directional Wireless
Minimizing Power Consumption in Age of Information Constrained Cell-Free Massive MIMO Networks
Amudheesan Nakkeeran, Jyotsna Bapat, Debabrata Das
Low-Complexity SDP-ADMM for Physical-Layer Multicasting in Massive MIMO Systems
Mahmoud Zaher, Emil Bjrnson
Fair and Energy-Efficient Activation Control Mechanisms for Repeater-Assisted Massive MIMO
Ozan Alp Topal, Özlem Demir, Emil Bj;ouml;rnson, Cicek Cavdar