… As a result, spectrum sensing has reborn as a very active … In this paper, spectrum sensing
techniques from the optimal … -based sensing, joint space-time sensing, and robust sensing …

… the most recent advances in spectrum sensing, covering its … spectrum sensing techniques
as well as the challenges … with the concepts of spectrum sensing, compressive sensing, and …

… important future research axes and challenging points in SS for … spectrum sensing for
5G-based CR applications is presented in Section 6. Section 7 presents several future challenges …

… implementation of spectrum sensing functionality in cognitive radio … of spectrum sensing
functionality in secondary sys- … In particular, practical challenges in reliable identification of white …

… , monitoring and recent advanced spectrum sensing schemes are considered and
mathematically modeled in Section 3. The various challenges related to spectrum sensing are …

… This paper focuses on the challenges in spectrum sensing as shown in Fig. 1 [2]. Even …
This article presents studies on spectrum sensing challenges, mainly blind sensing and sensing …

… is the key requirement and one of the most challenging issues for the cognitive radio system…
spectrum sensing techniques for cognitive radios. The major challenges in spectrum sensing …

… to spectrum sensing recovery efficiency. We also identify and present key challenges and …
compressive sampling theory in the context of wideband spectrum sensing [2], as well as on …

… sense the licensed spectrum to locate the vacant spectrum (… additional difficulties related
to spectrum sensing, such as … conceptual framework for spectrum sensing. The framework …

… Abstract—Spectrum sensing is a key function in cognitive radio network (CRN) to avoid …
identify the free spectrum to improve spectrum utilization. However, major challenge arises when …