The Industrial Internet of things (IIoT) helps several applications that require power control
and low cost to achieve long life. The progress of IIoT communications, mainly based on …

Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt
cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a …

Mobile network operators (MNO) can opportunistically use the licensed bands of the primary
users (PU) provided that they monitor the spectrum and stop their transmission upon …

The current mechanisms for locating spectrum offenders are time consuming, human-
intensive, and expensive. In this paper, we propose a novel approach to locate spectrum …

As spectrum becomes crowded and spread over wide ranges, there is a growing need for
emcient spectrum management techniques that need minimal, or even better, no human …

Some recent survey statistics suggest that low power wide area networks (LPWANs) are fast
becoming the most prevalent communication platform used in many applications of the …

TV white spaces refer to the allocated but locally unused TV spectrum and can be used by
unlicensed devices as secondary users. Thanks to their lower frequencies (eg, 54–698 MHz …

Understanding spectrum activity is challenging when attempted at scale. The wireless
community has recently risen to this challenge in designing spectrum monitoring systems …

Understanding spectrum characteristics with little prior knowledge requires fine-grained
spectrum data in the frequency, spatial, and temporal domains; gathering such a diverse set …