Wireless Networks and Protocols

Últimos artículos

• FM4WiFi: Flow Matching for Multi-AP Coordination in Dense Deployments of Beyond Wi-Fi 8 Networks

  Maksymilian Wojnar, Krzysztof Rusek, Katarzyna Kosek-Szott, Szymon Szott · 6 de agosto de 2026

  Wi-Fi networks are moving beyond random channel access toward tightly coordinated operation across access points (APs), a shift reflected in Wi-Fi 8's multi-AP coordination (MAPC). However, the current MAPC specification restricts cooperation to AP pairs, fundamentally limiting the gains achievable …

• Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Models

  Swadhin Pradhan, Shazal Irshad, Jerome Henry · 23 de junio de 2026

  What matters more for building foundation models for wireless packet traces: the tokenizer or the architecture or both? To answer this question, we build on PLUME Anonymous [2026], which introduced protocol-aware tokenization for 802.11 traces; we scale model depth and transfer the same tokenizer to…

• Utility-Aware DRL-Based TXOP Adaptation for NR-U and Wi-Fi Coexistence Networks

  Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen, Chiapin Wang · 19 de junio de 2026

  The coexistence of NR-U and Wi-Fi in the unlicensed spectrum introduces a challenging resource management problem, where heterogeneous channel access mechanisms can lead to unbalanced spectrum utilization and severe Wi-Fi performance degradation. To address this issue, this paper proposes a utility-…

• Evidence-Grounded Ensemble Diagnosis of 802.11 Packet Captures: A Multi-Stage Pipeline with Deterministic Reliability Scoring

  Jerome Henry, Swadhin Pradhan, Miroslav Popovic · 8 de junio de 2026

  Diagnosing 802.11 packet captures requires expert protocol knowledge, is slow, inconsistent across engineers, and unscalable. LLM-based approaches sound plausible but fabricate protocol events absent from captures (especially truncated traces), produce uncalibrated confidence scores, and suffer eval…

• KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless

  Kamil Szczech, Maksymilian Wojnar, Krzysztof Rusek, Katarzyna Kosek-Szott, Szymon Szott · 2 de junio de 2026

  A long-standing challenge in distributed wireless systems is ensuring efficient and fair random channel access. Existing solutions often address specific constraints related to timing, periodicity, or centralization, but they typically rely on fixed heuristics. Motivated by recent advances in machin…

• Policy-Driven DRL-Based TXOP Adaptation in NR-U and Wi-Fi Coexistence

  Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen, Chiapin Wang · 28 de mayo de 2026

  The coexistence of NR-U and Wi-Fi in unlicensed spectrum introduces a challenging coexistence management problem, where heterogeneous channel access mechanisms lead to a significant imbalance in spectrum utilization and degraded Wi-Fi performance. To address this challenge, we propose a policy-drive…

• A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks

  Massimo Battaglioni, Edoardo Carnevali, Dania De Crescenzo, Enrico Testi, Marco Baldi, Enrico Paolini · 13 de mayo de 2026

  In this paper, we study grant-free, asynchronous control-to-control (C2C) communications in an indoor scenario with a shared wireless channel. Each communication node transmits command units, each consisting of a variable-length low-density parity-check (LDPC)--coded payload preceded by a start sequ…

• A Policy-Driven DRL Framework for System-Level Tradeoff Control in NR-U/Wi-Fi Coexistence

  Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen, Chiapin Wang · 4 de mayo de 2026

  The coexistence of NR-U and Wi-Fi in unlicensed spectrum introduces a system-level resource coordination problem, where heterogeneous channel access mechanisms lead to a significant imbalance in spectrum utilization and degraded Wi-Fi performance. To address this challenge, we propose a policy-drive…

• RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning

  F. Fernando Jurado-Lasso, J. F. Jurado · 28 de abril de 2026

  Time Slotted Channel Hopping (TSCH) is a widely adopted Media Access Control (MAC) protocol within the IEEE 802.15.4e standard, designed to provide reliable and energy-efficient communication in Industrial Internet of Things (IIoT) networks. However, state-of-the-art TSCH schedulers rely on static s…

• Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers

  Gianluca Fontanesi, Luca Barbieri, Lorenzo Galati Giordano, Alfonso Fernandez Duran, Thorsten Wild · 24 de marzo de 2026

  This manuscript presents a comprehensive analysis of predictive modeling optimization in managed Wi-Fi networks through the integration of clustering algorithms and model evaluation techniques. The study addresses the challenges of deploying forecasting algorithms in large-scale environments managed…

• PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization

  Swadhin Pradhan, Shazal Irshad, Jerome Henry · 17 de marzo de 2026

  Foundation models succeed when they learn in the native structure of a modality, whether morphology-respecting tokens in language or pixels in vision. Wireless packet traces deserve the same treatment: meaning emerges from layered headers, typed fields, timing gaps, and cross-packet state machines, …

• CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning

  Carlos Purves, Pietro Lio' · 16 de marzo de 2026

  Distributed reinforcement learning policies face network delays, jitter, and packet loss when deployed across edge devices and cloud servers. Standard RL training assumes zero-latency interaction, causing severe performance degradation under realistic network conditions. We introduce CALF (Communica…

• Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approach

  Francesc Wilhelmi, Boris Bellalta, Miguel Casasnovas, Aleksandra Kijanka, Miguel Calvo-Fullana · 10 de febrero de 2026

  Spatial Reuse (SR) is a cost-effective technique for improving spectral efficiency in dense IEEE 802.11 deployments by enabling simultaneous transmissions. However, the decentralized optimization of SR parameters -- transmission power and Carrier Sensing Threshold (CST) -- across different Basic Ser…

• Hierarchical JEPA Meets Predictive Remote Control in Beyond 5G Networks

  Abanoub M. Girgis, Ibtissam Labriji, Mehdi Bennis · 10 de febrero de 2026

  In wireless networked control systems, ensuring timely and reliable state updates from distributed devices to remote controllers is essential for robust control performance. However, when multiple devices transmit high-dimensional states (e.g., images or video frames) over bandwidth-limited wireless…

• Multi-Modal Data-Enhanced Foundation Models for Prediction and Control in Wireless Networks: A Survey

  Han Zhang, Mohammad Farzanullah, Mohammad Ghassemi, Akram Bin Sediq, Ali Afana, Melike Erol-Kantarci · 7 de enero de 2026

  Foundation models (FMs) are recognized as a transformative breakthrough that has started to reshape the future of artificial intelligence (AI) across both academia and industry. The integration of FMs into wireless networks is expected to enable the development of general-purpose AI agents capable o…

• UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing

  Gaofeng Dong, Kang Yang, Mani Srivastava · 30 de diciembre de 2025

  Existing Wi-Fi sensing systems rely on injecting high-rate probing packets to extract channel state information (CSI), leading to communication degradation and poor deployability. Although Integrated Sensing and Communication (ISAC) is a promising direction, existing solutions still rely on auxiliar…

• On the Prediction of Wi-Fi Performance through Deep Learning

  Gabriele Formis, Amanda Ericson, Stefan Forsstrom, Kyi Thar, Gianluca Cena, Stefano Scanzio · 2 de diciembre de 2025

  Ensuring reliable and predictable communications is one of the main goals in modern industrial systems that rely on Wi-Fi networks, especially in scenarios where continuity of operation and low latency are required. In these contexts, the ability to predict changes in wireless channel quality can en…

• Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language Models

  Yifan Fan, Le Liang, Peng Liu, Xiao Li, Ziyang Guo, Qiao Lan, Shi Jin, Wen Tong · 27 de noviembre de 2025

  Multi-access point coordination (MAPC) is a key technology for enhancing throughput in next-generation Wi-Fi within dense overlapping basic service sets. However, existing MAPC protocols rely on static, protocol-defined rules, which limits their ability to adapt to dynamic network conditions such as…