Cognitive radio: brain-empowered wireless communications

By Simon S. Haykin. IEEE Journal on Selected Areas in Communications, 2005

12,627 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/70d078021682bdeb2efa4515f819b4b8661edd61

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In Computational Mechanics

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Software Defined Radio: Challenges and Opportunities (2010, background): “CRs may both provide context-aware services for the user [147] and improve spectrum utilization through dynamic spectrum access [135], [137], [148].”
Spectrum agile radios: utilization and sensing architectures (2005, background): “Such reforms rely on recent improvements in wireless communications technologies, widely known as Cognitive Radios, and referred to in this paper as Spectrum Agile Radios (or simply, agile radios) [7][8][9][14].”
IEEE 802.22: The first cognitive radio wireless regional area network standard (2009, methodology): “These cognitive radio networks use a cognition cycle that includes radio scene analysis, channel state estimation and predictive modeling, and transmit power control and spectrum management commands [ 7 ].”
UWB Elliptical Monopoles With a Reconfigurable Band Notch Using MEMS Switches Actuated Without Bias Lines (2009, background): “To overcome this problem in an opportunistic way, agile radios are required [1] that demand the use of “smart,” reconfigurable antennas capable of canceling in-band interference.”
Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks (2008, background): “In order to solve the conflicts between spectrum scarcity and spectrum under-utilization, cognitive radio technology was recently proposed [2], [3].”
Filter Bank Spectrum Sensing for Cognitive Radios (2008, background): “We should note that there is a brief mention of the leakage problem in [4].”
Maximum Eigenvalue Detection: Theory and Application (2008, background): “Cognitive radio, first proposed in [1], is a promising technology to exploit the under-utilized spectrum in an opportunistic manner [2].”
Wireless Network Virtualization: A Survey, Some Research Issues and Challenges (2015, neutral): “networks [55], deployment of heterogeneous networks (e.”
On the Performance of Device-to-Device Underlay Communication with Simple Power Control (2009, background): “Cognitive radio systems [3]–[5] have gained a lot of attention in the communication community because of their potential for reusing the assigned spectrum.”
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.”
A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks (2011, positive): “These algorithms combine elements of all the above-mentioned approaches, especially [24] and [13].”
Cognitive networks (2005, background): “At a minimum, in the current literature we find mention of cognitive radios [12], [8], smart radios [2], smart antennas [1], cognitive packets [5], smart packets [20] and cognitive networks [11], [18].”
D2D for Intelligent Transportation Systems: A Feasibility Study (2015, background): “A cognitive radio is an intelligent radio that can dynamically self-program and self-configure according to the wireless environment in its vicinity.”
A survey on MAC protocols for cognitive radio networks (2009, background): “Cognitive radio (CR) is a promising technology geared to solve the spectrum scarcity problem by opportunistically identifying the vacant portions of the spectrum and transmitting in them, while ensuring that the licensed or primary users (PUs) of the spectrum are not affected [2] [10] [3].”
Cognitive radio networking and communications: an overview (2011, methodology): “For example, a CR may sense the ON/OFF status of the PUs [4], [6] or can predict the interference power level that”
Theory and Use of the EM Algorithm (2011, background): “This problem arises in cognitive radio [22], and is an illustrative example of a general class of problems that can be solved by EM where the goal is to estimate parameters given superimposed signals (see [12]).”
Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “For example, as a promising technique to utilize the precious radio spectrum more efficiently and flexibly, cognitive radio (CR) [629]–[631] has stimulated substantial research interests over the past decade.”
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].”
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “A. Sayeed would like to acknowledge support from the National Science Foundation under grant numbers ECCS-1247583 and IIP-1444962, and the Wisconsin Alumni Research Foundation. ar X iv :1 51 2.”