Contract Theory Based Incentive Mechanism Design Approaches in Cognitive Radio Networks: A Survey

Author(s):  
Nitin Gupta ◽  
Sanjay Kumar Dhurandher ◽  
Bhoopendra Kumar
2015 ◽  
Vol 33 (5) ◽  
pp. 986-1001 ◽  
Author(s):  
Yong Xiao ◽  
Zhu Han ◽  
Kwang-Cheng Chen ◽  
Luiz A. DaSilva

2017 ◽  
Vol 24 (3) ◽  
pp. 80-85 ◽  
Author(s):  
Yanru Zhang ◽  
Miao Pan ◽  
Lingyang Song ◽  
Zaher Dawy ◽  
Zhu Han

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Nan Zhao ◽  
Minghu Wu ◽  
Wei Xiong ◽  
Cong Liu

By exploiting the spatial diversity of multiple wireless nodes, cooperative communication technique is a promising technique for spectrum sharing to improve spectrum efficiency. In this paper, the incentive issue between relay nodes’ (RNs’) service and source’s relay selection is investigated in the presence of the asymmetric information scenario. Multiuser cooperative communication is modelled as a labour market, where the source designs a contract and each relay node decides to select a contract item according to hidden information in order to obtain the best profit. The optimal contract design under both symmetric information and asymmetric information is presented based on contract theory. The contract-theoretic model for ability discrimination relay selection is formulated as an optimization problem to maximize the source’s utility. A sequential optimization algorithm is proposed to obtain the optimalrelay-rewardstrategy. Simulation results show that the optimal contract design scheme is effective in improving system performance for cooperative communication. This paper establishes a valuable cooperative communication mechanism in cognitive radio networks.


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