Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks

التفاصيل البيبلوغرافية
العنوان: Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks
المؤلفون: Wilhelmi, Francesc, Szott, Szymon, Kosek-Szott, Katarzyna, Bellalta, Boris
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Networking and Internet Architecture, Computer Science - Artificial Intelligence
الوصف: Artificial intelligence (AI) and machine learning (ML) are nowadays mature technologies considered essential for driving the evolution of future communications systems. Simultaneously, Wi-Fi technology has constantly evolved over the past three decades and incorporated new features generation after generation, thus gaining in complexity. As such, researchers have observed that AI/ML functionalities may be required to address the upcoming Wi-Fi challenges that will be otherwise difficult to solve with traditional approaches. This paper discusses the role of AI/ML in current and future Wi-Fi networks and depicts the ways forward. A roadmap towards AI/ML-native Wi-Fi, key challenges, standardization efforts, and major enablers are also discussed. An exemplary use case is provided to showcase the potential of AI/ML in Wi-Fi at different adoption stages.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.11504
رقم الأكسشن: edsarx.2405.11504
قاعدة البيانات: arXiv