The importance of networks in modern-day society is experiencing rapid and extensive growth, thanks to remarkable technological advancements. Next-generation wireless networks will confront a scenario where densely interconnected devices demand high data rates, at least 99.999 percent reliability, and extremely low latency for transmissions. In this context, securing the radio spectrum becomes a crucial task. While adopting artificial intelligence-based technologies can make networks more intelligent and self-governing, it also exposes them to new vulnerabilities. Unfortunately, while the networks evolve at a dramatic pace and the spectrum becomes increasingly crowded, the way we monitor its usage appears inadequate and sporadic. Therefore, the need for methods and procedures for large-scale autonomous spectrum monitoring seems inevitable to face future challenging scenarios. In this article, we present our perspective on a set of tools suitable for efficient spectrum monitoring, which we refer to as wireless network analytics.
Testi E., Giorgetti A. (2024). Wireless Network Analytics for the New Era of Spectrum Patrolling and Monitoring. IEEE WIRELESS COMMUNICATIONS, 31(4), 230-236 [10.1109/MWC.012.2300374].
Wireless Network Analytics for the New Era of Spectrum Patrolling and Monitoring
Testi E.
Primo
;Giorgetti A.Ultimo
2024
Abstract
The importance of networks in modern-day society is experiencing rapid and extensive growth, thanks to remarkable technological advancements. Next-generation wireless networks will confront a scenario where densely interconnected devices demand high data rates, at least 99.999 percent reliability, and extremely low latency for transmissions. In this context, securing the radio spectrum becomes a crucial task. While adopting artificial intelligence-based technologies can make networks more intelligent and self-governing, it also exposes them to new vulnerabilities. Unfortunately, while the networks evolve at a dramatic pace and the spectrum becomes increasingly crowded, the way we monitor its usage appears inadequate and sporadic. Therefore, the need for methods and procedures for large-scale autonomous spectrum monitoring seems inevitable to face future challenging scenarios. In this article, we present our perspective on a set of tools suitable for efficient spectrum monitoring, which we refer to as wireless network analytics.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.