White paper: Corvus: A cognitive radio approach for usage of virtual unlicensed spectrum

By R. Broderson, Adam Wolisz, D. Cabric, Shridhar Mubaraq Mishra, Daniel Willkomm. 2004

726 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ec31c93b0ea8a17061ab4c3eac5b9a6620ef0a70

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Some Fundamental Limits on Cognitive Radio (2004, background): “This is inspired by actual measurements showing that most of the allocated spectrum is vastly underutilized [4].”
On the Performance of Device-to-Device Underlay Communication with Simple Power Control (2009, background): “More efficient use of the assigned spectrum is necessary to bridge the difference in bandwidth demand and bandwidth supply [2].”
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey (2006, background): “CORVUS: In [8,14], a cognitive radio approach for usage of virtual unlicensed spectrum (CORVUS) system is presented to exploit unoccupied licensed bands.”
Implementation issues in spectrum sensing for cognitive radios (2004, background): “In [ 7 ] a centralized network is proposed where the access point collects sensing results from all users.”
Fundamental limits on detection in low SNR under noise uncertainty (2005, background): “This is inspired by actual measurements showing that most of the allocated spectrum is vastly underutilized [2].”
Filter Bank Spectrum Sensing for Cognitive Radios (2008, background): “On the other hand, studies have shown that vast portions of the licensed spectra are rarely used [ 1 ], [2].”
A new approach to signal classification using spectral correlation and neural networks (2005, background): “Consequently, spectrum sensing performed by CR cannot be restricted to simply monitor the power in some frequency bands of interest but must include detection and identification in order to avoid interference [4].”
Cooperative Sensing among Cognitive Radios (2006, background): “I NTRODUCTION Over the past years, traditional approaches to spectrum management have been challenged by new insights into the actual use of spectrum.”
Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks (2008, background): “Cognitive radio (CR) enables much higher spectrum efficiency by dynamic spectrum access [1], [2].”
CogMesh: A Cluster-Based Cognitive Radio Network (2007, background): “A number of cognitive radio testbeds have been developed based on different architectures and radio technologies[7][ 8 ] [4].”
Power Optimization of Device-to-Device Communication Underlaying Cellular Communication (2009, background): “On the other hand, the assigned spectrum is largely under-utilized [2].”
Opportunistic Spectrum Access in Cognitive Radio Networks (2008, background): “To facilitate spectrum sharing, researchers have considered the design of a common control channel to exchange spectrum access and sensing information and facilitate collaborative sensing and spectrum reservation/sharing, e.g., in [6], [7], [8].”
Cooperative Sensing for Primary Detection in Cognitive Radio (2008, background): “However, measurements conducted have suggested that most licensed spectrum is often under-utilized with large spectral holes at different places at different times [1].”
Experimental study of spectrum sensing based on energy detection and network cooperation (2006, background): “For example, it could improve co-existence of WLANs (802.11) [ 2 ], or create new spectrum opportunities for sensor and ad-hoc networks [3].”
Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey (2013, result): “This has an impact on the spectrum usage because recent measurements [2], [3], [4] have shown”