Resource allocation in cooperative cognitive radio networks towards secure communications for maritime big data systems |
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| Authors: | Tingting Yang Hailong Feng Chengming Yang Ruilong Deng Ge Guo Tieshan Li |
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| Affiliation: | 1.Navigation College,Dalian Maritime University,Dalian,China;2.School of Naval Architecture, Ocean and Civil Engineering,Shanghai Jiao Tong University,Shanghai,China;3.Department of Electrical and Computer Engineering,University of Alberta,Edmonton,Canada;4.Information Technology College,Dalian Maritime University,Dalian,China |
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| Abstract: | In this paper, an innovative framework labeled as cooperative cognitive maritime big data systems (CCMBDSs) on the sea is developed to provide opportunistic channel access and secure communication. A two-phase frame structure is applied to let Secondary users (SUs) entirely utilize the transmission opportunities for a portion of time as the reward by cooperation with Primary users (PUs). Amplify-and-forward (AF) relaying mode is exploited in SU nodes, and Backward induction method based Stackelberg game is employed to achieve optimal determination of SU, power consumption and time portion of cooperation both for non-secure communication scenario and secure communication. Specifically, a jammer-based secure communications scheme is developed to maximize the secure utility of PU, to confront of the situation that the eavesdropper could overheard the signals from SU i and the jammer. Close-form solutions for the best access time portion as well as the power for SU i and jammer are derived to realize the Nash Equilibrium. Simulation results validate the effectiveness of our proposed strategy. |
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