Cognitive Radio An Integrated Agent Architecture for Software Defined Radio

By Joseph Mitola III. 2000

4,018 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/82dc0e2ea785f4870816764c25f3d9ae856d9809

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Citations in the corpus

Applications of Machine Learning to Cognitive Radio Networks (2007, background): “Since the introduction of cognitive radio in 1999 [9], there have been many high-level discussions on proposed capabilities of cognitive radios.”
Cognitive networks (2005, background): “An SDR is simply a radio that puts most of the Radio Frequency (RF) and Intermediate Frequency (IF) functionality, including waveform synthesis, into the digital (rather than the analog) domain, allowing for great flexibility in the modes of radio operation (called “personalities”) [12].”
A new approach to signal classification using spectral correlation and neural networks (2005, background): “First introduced by Joseph Mitola in [1] the term ‘cognitive radio’ (CR) has recently received a considerable amount of interest in the wireless radio engineering community.”
Cooperative decode-and-forward relaying for secondary spectrum access (2009, background): “Cognitive radios [5], [6] are considered in the framework of hierarchical spectrum sharing where two different wireless systems are allowed to operate over the same portion of spectrum albeit with different priorities.”
Robust Distributed Spectrum Sensing in Cognitive Radio Networks (2008, background): “The Cognitive Radio (CR) [4], [7] is seen as the enabling technology for DSA.”
Defense against Primary User Emulation Attacks in Cognitive Radio Networks (2008, background): “Cognitive Radios (CRs) [12], [17] are seen as the enabling technology for DSA.”
A Survey on Machine-Learning Techniques in Cognitive Radios (2013, background): “In addition to being aware of its environment, and in order to be reallycognitive, a cognitive radio should be equipped with the abilities of learning and r easoning [1], [2].”
Cognitive radio: brain-empowered wireless communications (2005, background): “The idea of RKRL was expanded further in Mitola's own doctoral dissertation, which was presented at the Royal Institute of Technology, Sweden, in May 2000 [6].”
Cognitive radio networking and communications: an overview (2011, background): “radio environment, and a SU with such a capability is also called a cognitive radio (CR) [4], [5] or a CR user.”
Spectrum Sharing for Multi-Hop Networking with Cognitive Radios (2008, background): “The enabling physical layer technology to realize DSA is cognitive radio (CR), which is a frequency-agile data communication device that has a rich control and monitoring (spectrum sensing) interface [12], [21].”
Cross-Layer Based Opportunistic MAC Protocols for QoS Provisionings Over Cognitive Radio Wireless Networks (2008, methodology): “Cognitive radio is typically built on the software-defined radio (SDR) technology, in which the transmitter's operating parameters, such as the frequency range, modulation type, and maximum transmission power can be dynamically adjusted by software [3].”
Spectrum Data Poisoning with Adversarial Deep Learning (2018, background): “Cognitive radios support the efficient discovery and use of the spectrum [1].”
C-MAC: A Cognitive MAC Protocol for Multi-Channel Wireless Networks (2007, background): “Cognitive radios (CRs) [1][2][3] have emerged as the solution to the problem of spectrum scarcity for wireless applications.”
IEEE 802.22: An Introduction to the First Wireless Standard based on Cognitive Radios (2006, background): “Cognitive Radios (CRs) [5][6][7] are seen as the solution to the current low usage of the radio spectrum.”
Ensuring Trustworthy Spectrum Sensing in Cognitive Radio Networks (2006, background): “Cognitive Radios (CRs) [13] [8] are seen as the enabling technology for OSS.”