Optimal spectrum sensing framework for cognitive radio networks

By Won-Yeol Lee, Ian F. Akyildiz. IEEE Transactions on Wireless Communications, 2008

880 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2bd1475484e8bda49ee6558cd7e862715e66115b

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

1. Ying-Chang Liang
2. Yonghong Zeng
3. Brandon F. Lo
4. Ian F. Akyildiz
5. Ravikumar Balakrishnan
6. Kaushik R. Chowdhury
7. Walaa Hamouda
8. Abdelmohsen Ali

In Electrical and Electronic Engineering

1. Ying-Chang Liang
2. Kaushik R. Chowdhury
3. Moshe Timothy Masonta
4. Mjumo Mzyece
5. Ntsibane Ntlatlapa
6. Brandon F. Lo
7. Ian F. Akyildiz
8. Walaa Hamouda

Citations in the corpus

• Cooperative spectrum sensing in cognitive radio networks: A survey (2011, background): “This is known as the sensing efficiency problem [76] or the sensing-throughput tradeoff [77] in spectrum sensing.”
• A survey on MAC protocols for cognitive radio networks (2009, background): “In [15], a theoretical framework is proposed for jointly optimizing the sensing and transmission parameters in order to maximize the spectrum efficiency subject to interference avoidance constraints.”
• Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, background): “From the primary user perspective, the effect of sensing time and interval on the interference ratio (equivalently, the probability of collision) has been studied in [187].”
• CRAHNs: Cognitive radio ad hoc networks (2009, neutral): “On the other hand, in [49], a theoretical framework is developed to optimize both sensing and transmission times simultaneously in such a way as to maximize the transmission efficiency subject to interference avoidance constraints where both parameters are determined adaptively depending on the…”
• Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View (2009, background): “There are also studies on optimizing the total frame time if the primary users’ traffic statistics are known to the secondary users [15], [16].”
• Spectrum Decision in Cognitive Radio Networks: A Survey (2013, methodology): “When using spectrum sensing to detect spectrum holes, sensing efficiency is influenced by the observation time and transmission time [31].”