The intersection of wireless networking and eXtended Reality (XR) technologies presents an extraordinary opportunity to revolutionize real-time communication and immersive experiences. TRUE Wi-Fi project addresses two key challenges: advancing Wi-Fi networks to ensure ultra-reliable performance in unlicensed bands and designing intelligent, adaptive XR streaming architectures to enable seamless interaction between real and virtual worlds.

XR applications, including Virtual Reality (VR) and Augmented Reality (AR), demand communication networks capable of delivering high throughput (Mbps to Gbps), ultra-low latency (<1-5 ms), and reliability. As these applications gain traction across industries such as healthcare, education, and entertainment, Wi-Fi must evolve to meet their stringent  requirements. However, overlapping wireless networks in unlicensed spectrum bands create significant reliability challenges, such as contention and unpredictable delays.

This project proposes a transformative approach to Wi-Fi operation, shifting from competitive to cooperative principles. By leveraging Multi-AP Coordination (MAPC), Distributed Ledger Technologies (DLTs), and AI/ML, we aim to establish a new coexistence paradigm. MAPC enables joint scheduling, spectrum management, and coordinated transmissions across multiple access points, while DLTs ensure trust, security, and fairness in shared spectrum environments. AI/ML further enhances the system by optimizing adaptive streaming protocols, semantic communication techniques, and intelligent decision-making for XR applications.

Through these innovations, we align with the Wi-Fi standardization cycle and pave the way for the next generation of wireless networks, enabling ultra reliable, democratic, and open use of unlicensed spectrum. Our outcomes will not only advance Wi-Fi.

TRUE-Wi-Fi PID2024-155470NB-I00 (MCIU/AEI/FEDER,UE)

Pre-prints

• Miguel Casasnovas, Francesc Wilhelmi, Richard Combes, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Anders Jonsson, Luis Esteve, Boris Bellalta: Learning-Based Channel Access in Wi-Fi: A Multi-Armed Bandit Approach. CoRR abs/2511.10143 (2025)
• Miguel Casasnovas, Francesc Wilhelmi, Richard Combes, Maksymilian Wojnar, Katarzyna Kosek-Szott, Szymon Szott, Anders Jonsson, Luis Esteve, Boris Bellalta: Performance Evaluation of Multi-Armed Bandit Algorithms for Wi-Fi Channel Access. CoRR abs/2511.23352 (2025)

Journal Publications

• Boris Bellalta, Miguel Casasnovas, Ferran Maura, Alejandro Rodríguez, Juan Sebastián Marquerie, Pablo Luis García, Francesc Wilhelmi, Josep Blat: Understanding the Wi-Fi and VR streaming interplay: A comprehensible simulation and experimental study. J. Netw. Comput. Appl. 245: 104391 (2026) 
• Boris Bellalta, Francesc Wilhelmi, Lorenzo Galati-Giordano, Giovanni Geraci: Modeling and Performance Analysis of Non-Primary Channel Access in Wi-Fi Networks. IEEE Open J. Commun. Soc. 6: 7782-7794 (2025)

Conference Publications

• Miguel Casasnovas, Marc Carrascosa-Zamacois, Boris Bellalta: Can cloud-based VR streaming handle Wi-Fi OBSS contention? IEEE CSCN 2025 | arxiv CoRR abs/2507.07677 (2025) 

Tutorials & Talks

• Work in progress

IEEE 802.11 standardization

• Work in progress

Others

SS WFCS 2026

PhD thesis

• Work in progress