A survey on spectrum management in cognitive radio networks

By Ian F. Akyildiz, Won-Yeol Lee, Mehmet Can Vuran, Shantidev Mohanty. IEEE Communications Magazine, 2008

1,837 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5934a20f2ca954252a378e828a81533a7de5a0fe

How researchers see this paper

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

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Survey of Inter-Satellite Communication for Small Satellite Systems: Physical Layer to Network Layer View (2016, background): “However, Cognitive Radio’s impose several challenges because of the ﬂuctuating nature of the available spectrum which are explained in detail in [98] and [99].”
Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols (2016, background): “A Cognitive Radio Network (CRN) is a network comprising of CR devices that are equipped with cognitive capability and reconfigurability, and can change their transmitter parameters based on interactions with the environment in which they operate [102].”
A Survey on Machine-Learning Techniques in Cognitive Radios (2013, background): “Several surveys on the DSA techniques and the medium access control (MAC) layer operations for the CRs are provided in [56]–[60].”
Routing in cognitive radio networks: Challenges and solutions (2011, background): “Introduction less technologies, their market penetration, and the com- Current wireless networks are regulated by governmental agencies mainly according to a fixed spectrum assignment policy.”
Recent Advances in Cloud Radio Access Networks: System Architectures, Key Techniques, and Open Issues (2016, background): “In contrast, due to the sporadical usage, a significant amount of assigned spectrum is not fully utilized [144].”
End-to-End Learning From Spectrum Data: A Deep Learning Approach for Wireless Signal Identification in Spectrum Monitoring Applications (2017, background): “s way, the CRN can infer the spectrum occupancy to identify unoccupied frequency bands (white spaces/spectrum holes) and share them with licensed users (primary users (PU)) in an opportunistic manner [18]. Figure 1 a) shows the basic operational process of a datadriven CRN. First, CR users intermitt”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “In fact, a countable number of survey papers exist in the literature in the context of cognitive radio communications covering a wide range of areas such as spectrum occupancy measurement [13], spectrum sensing [6][7][14][15], cognitive radio under practical imperfections [16], spectrum management [”
Enabling Technologies for Green Internet of Things (2017, background): “cognitive radio approach [117] allows devices to sense the various RF channels and to tune both transmission and reception”
A Survey on MAC Strategies for Cognitive Radio Networks (2012, methodology): “However, this approach is only suitable in the detection of TV receivers [5].”
Ten years of research in spectrum sensing and sharing in cognitive radio (2012, neutral): “This procedure is called spectrum decision [108,109].”
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].”
A Survey of Green Mobile Networks: Opportunities and Challenges (2011, background): “The cognitive radio (CR) technique [100], allows a network system or a wireless node to change the transmission or reception parameters thus to tune and to communicate via various RF spectrums dynamically to avoid interference with concurrent users.”
Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends (2013, background): “Some issues in CRNs have been addressed well [18–33].”
Spectrum Sharing for Device-to-Device Communication in Cellular Networks (2013, background): “Existing research relevant to this paper includes spectrum sharing in cognitive radio networks, where secondary cognitive transmitters may access the primary spectrum if the primary transmitters are not active or they do not cause unacceptable interference [13].”