Competitive spectrum sharing in cognitive radio networks: a dynamic game approach

By Dusist Niyato, Ekram Hossain. IEEE Transactions on Wireless Communications, 2008

351 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cc45a99711e10f755c395b8f1d4397d932976e25

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. Rui Zhang
2. Geoffrey Y. Li
3. Ying-Chang Liang
4. Kwang-Cheng Chen
5. Xingqin Lin
6. Beibei Wang
7. K. Liu
8. Amitava Ghosh

In Electrical and Electronic Engineering

1. Rui Zhang
2. Dusist Niyato
3. Ying-Chang Liang
4. Dong In Kim
5. Geoffrey Y. Li
6. Ekram Hossain
7. Zhu Han
8. K. Liu

Citations in the corpus

• Game theory for cognitive radio networks: An overview (2010, background): “The learning processes in [39,40,42] and [17] can be roughly classified into two categories.”
• Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games (2012, neutral): “Game theory [18], as a powerful tool for distributed decision problems where the individual decision mutually influences each other, has been widely applied to CR networks and various versions of game models can be found in the literature [11], [19]–[25].”
• Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016, background): “Also, it can be used for the spectrum sharing among a primary user and multiple secondary users [62].”
• Spectrum Sharing for Device-to-Device Communication in Cellular Networks (2013, background): “For example, [22] adopts a dynamical game approach to study the spectrum sharing among a primary user and multiple secondary users.”
• Cognitive radio networking and communications: an overview (2011, background): “By adjusting the sensing time (quiet period) and the probability of false alarm, the number of SUs who enter into the CSMA random access is controlled, through which the saturated throughput and delay performance can be optimized.”
• Price-Based Resource Allocation for Spectrum-Sharing Femtocell Networks: A Stackelberg Game Approach (2012, methodology): “This constraint, known as interference power constraint, has been proved to be a practically useful technique to control the interference in spectrum-sharing CRNs [5]–[8].”