Abstract
In this study, the authors investigate the problem of jammer selection (JS) for enhancing the secrecy goodput in a cooperative cognitive radio network with the multiple-input-multiple-output capability. First, they propose an optimal stopping theory-based JS scheme in the presence of a single eavesdropper. The proposed scheme can accommodate the cases of beamforming or non-beamforming jamming signals. Furthermore, in the presence of multiple eavesdroppers, they develop a random JS scheme with the beamforming design. Their theoretical analysis and simulation results demonstrate that the proposed schemes can effectively improve the secrecy goodput.
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