Optimization for Cooperative Sensing in Cognitive Radio Networks

By Edward Chu Yeow Peh, Ying-Chang Liang. IEEE Wireless Communications and Networking Conference, 2007

535 citations recorded by the source corpus.

How researchers see this paper

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

Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks (2008, background): “The optimal number of cognitive radios in cooperative spectrum sensing was investigated in [10] when AND or OR rule was applied.”
Ten years of research in spectrum sensing and sharing in cognitive radio (2012, methodology): “When the OR-rule or the AND-rule is used, the threshold of detector should be adjusted according to N to get better performance than a non-cooperative sys-tem [51].”
A survey of spectrum sensing algorithms for cognitive radio applications (2009, methodology): “In [42], constant detection rate and constant false alarm rate are used for optimally selecting the users for collaborative sensing.”
A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions (2010, background): “Specifically, if each user only sends one-bit decision (“1” for signal present and “0” for signal absent) and no other information is available at the central processor, some commonly adopted decision fusion rules are described as follows [42].”
Cognitive radio networking and communications: an overview (2011, background): “In case that the communication constraints are more strict, hard combination schemes have been proposed in [38], [44], and [49].”
A Survey on MAC Strategies for Cognitive Radio Networks (2012, background): “according to a certain rule (for instance, AND, OR, or Mout-of-N rules [41]) and it evaluates spectrum opportunities.”