Ten years of research in spectrum sensing and sharing in cognitive radio
By Lu Lu, Xiangwei Zhou, Uzoma Onunkwo, Geoffrey Y. Li. EURASIP Journal on Wireless Communications and Networking, 2012
299 citations recorded by the source corpus.
Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users' activities to avoid interference and collisions. How to obtain reliable results of the licensed users' activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the implementation of CR. In this article, we provide an overview of recent research achievements of including spectrum sensing, sharing techniques and the applications of CR systems.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/28b11e949379077688718e62ccb9bcdc26e1a2cf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Electrical and Electronic Engineering
Citations in the corpus
- Index Modulation Techniques for Next-Generation Wireless Networks (2017, unknown): “Depending on the access strategy of SUs, there are three main network paradigms: underlay, overlay and interweave [202], [203].”
- Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers (2017, background): “It will measure all available channels and select one channel with the minimum noise and interference level [7].”
- Optimum Co-Design for Spectrum Sharing between Matrix Completion Based MIMO Radars and a MIMO Communication System (2015, methodology): “Viewing the radar system as the primary user of a cognitive radio system and the MIMO communication system as the secondary user, techniques similar to those of [31]–[33], [49] can be used to estimate and feed back the channel information between the primary and secondary systems.”