• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Contract Theory Based Cooperative Spectrum Sharing with Joint Power and Bandwidth Optimization

Vol. 11, No.12, December 31, 2017
10.3837/tiis.2017.12.007, Download Paper (Free):

Abstract

In this paper, we proposed a contract theory based cooperative spectrum sharing scheme with joint power and bandwidth optimization under asymmetric information, where the primary user (PU) does not know the secondary users’ (SUs) private information. To improve performance, PU needs to provide incentives to stimulate nearby SUs to help forward its signal. By using contract theory, PU and SUs’ negotiations are modeled as a labor market. PU and SUs act as the employer and employees, respectively. Specifically, SUs provide labor (i.e. the relay power, which can be used for forwarding PU’s signal) in exchange for the reward (i.e. the spectrum access bandwidth which can be used for transmitting their own signals). PU needs to overcome a challenge how to balance the relationship between contributions and incentives for the SUs. We study the optimal contract design which consists of relay power and spectrum access bandwidth allocation. We show that the most efficient SUs will be hired by the PU to attend the cooperative communication. PU can achieve the same maximum utility as in the symmetric information scenario. Simulation results confirm that the utility of PU is significantly enhanced with our proposed cooperative spectrum sharing scheme.


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Cite this article

[IEEE Style]
Weidang Lu, Chenxin He, Yuanrong Lin, Hong Peng and Xin Liu, "Contract Theory Based Cooperative Spectrum Sharing with Joint Power and Bandwidth Optimization," KSII Transactions on Internet and Information Systems, vol. 11, no. 12, pp. 5803-5819, 2017. DOI: 10.3837/tiis.2017.12.007

[ACM Style]
Lu, W., He, C., Lin, Y., Peng, H., and Liu, X. 2017. Contract Theory Based Cooperative Spectrum Sharing with Joint Power and Bandwidth Optimization. KSII Transactions on Internet and Information Systems, 11, 12, (2017), 5803-5819. DOI: 10.3837/tiis.2017.12.007