Autors: Ivanov, A. S., Tonchev, K., Poulkov, V. K., Manolova, A. H.
Title: Probabilistic Spectrum Sensing based on Feature Detection for 6G Cognitive Radio: A Survey
Keywords: 6G; cognitive radio; feature detection; human-centric wireless access; Internet of Things; probabilistic spectrum sensing; wireless communications

Abstract: With the advent of Sixth Generation (6G) telecommunication systems already envisioned, increased effort is made to further develop current communication technologies, so they can be incorporated together with the novel ones, to deliver uninterrupted and satisfactory service for any application in every location on the ground, underwater, in the air, or in space. One such technology is Cognitive Radio (CR) which has received much attention due to its potential for increase of utilization, especially in the bands below 6 GHz. The main enabler for CR is spectrum sensing because it provides the opportunity for dynamic assessment of the radio environment to identify unused channels. This functionality has been the object of many research works for that very reason. In spite of this, the provision of accurate and fast spectrum characterization in time, frequency and space has proven to be a non-trivial task. This paper presents a detailed review of probabilistic spectrum sensing methods ..

References

    Issue

    IEEE Access, vol. 9, pp. 116994-117026, 2021, United States, IEEE, DOI 10.1109/ACCESS.2021.3106235

    Copyright CCBY

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science