Dynamics of Multiple-Seller and Multiple-Buyer Spectrum Trading in Cognitive Radio Networks: A Game-Theoretic Modeling Approach
By Dusist Niyato, Ekram Hossain, Zhu Han. IEEE Transactions on Mobile Computing, 2009
388 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/a0d31df776bb7a7a714f827c139f423b3ecbfd76
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
- Kwang-Cheng Chen
- Ying-Chang Liang
- Geoffrey Y. Li
- Petri Mähönen
- F. Yu
- Renchao Xie
- Jun Kyun Choi
- Qian Zhang
In Electrical and Electronic Engineering
- Ying-Chang Liang
- Geoffrey Y. Li
- Kwang-Cheng Chen
- Petri Mähönen
- F. Yu
- Kalpesh Chaudhari
- C. Long
- Renchao Xie
In Media Technology
- Geoffrey Y. Li
- Ying-Chang Liang
- Petri Mähönen
- Qian Zhang
- Kwang-Cheng Chen
- Dusist Niyato
- Jiawen Kang
- Zehui Xiong
Citations in the corpus
- Spectrum Trading in Cognitive Radio Networks: A Contract-Theoretic Modeling Approach (2011, background): “In [14], Niyato et al. studied the spectrum trading with multiple POs selling spectrum opportunities to multiple .”
- Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model (2019, background): “A concept of multiple populations is used when there is a large number of players [25].”
- Distributed Energy Trading in Microgrids: A Game-Theoretic Model and Its Equilibrium Analysis (2015, background): “, [40] and [41] and the references therein).”
- Cognitive radio networking and communications: an overview (2011, background): “can adopt the spectrum acquisition by observing the variations in price and QoS offered by the PUs (or service providers) can be modeled as an evolutionary game [206].”
- Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Networks with Femtocells (2012, methodology): “Inspired by [35], we can use the following gradient based iteration algorithm to obtain the three-stage Stackelberg game equilibrium.”