Spectrum agile radios: utilization and sensing architectures

By S. Shankar, Carlos Cordeiro, Kiran S. Challapali. First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005., 2005

429 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f9bf73c71e913242fcf9b65164830c42b6928ec1

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Defense against Primary User Emulation Attacks in Cognitive Radio Networks (2008, methodology): “To address this problem, cooperative spectrum sensing techniques were investigated in [11], [16], [24], [27].”
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks (2008, neutral): “Ç”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “have been proposed as initial solutions to perform narrowband sensing: single-radio and dual-radio [37].”
Dynamic Spectrum Access with QoS and Interference Temperature Constraints (2007, background): “The recommendation is based on a new metric called the interference temperature , which is intended to quantify and manage the sources of interference in a radio environment.”
A survey of spectrum sensing algorithms for cognitive radio applications (2009, methodology): “Cyclostationarity feature detection is a method for detecting primary user transmissions by exploiting the cyclostationarity features of the received signals [15], [26], [30], [44], [72]– [79].”
Cooperative Communications for Cognitive Radio Networks (2009, background): “Another challenging issue is the inability to differentiate the interference from other secondary users sharing the same channel and the PU [ 31 ].”
A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios (2006, background): “Focusing on each narrow band, existing spectrum sensing techniques are largely categorized into energy detection [5] and feature detection [6].”
Robust Distributed Spectrum Sensing in Cognitive Radio Networks (2008, methodology): “The authors of [11, 14] employ sensors for distributed spectrum sensing.”
Advances in cognitive radio networks: A survey (2011, background): “…or cyclic prefixes, while the additive noise is generally wide-sense stationary (WSS) with no correlation, cyclostationary feature detectors can be utilized to differentiate noise from primary users' signal [30]–[32] and distinguish among different types of transmissions and primary systems [33].”