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We jointly optimized the transmit beamforming vector and the covariance matrix of jamming signals at the relay to maximize the achievable secrecy rate at the destination while ensuring the total transmit power constraint at the relay, in which we took into account imperfect CSI subject to norm-bounded errors.
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The abovementioned "1-bit algorithm" achieves the same capacity with the case of assuming full channel state information (CSI) feedback subject to a judicious choice of the threshold.
Hence, the CSI is subject to estimation, feedback, delay, and quantization errors.
Although it was not explicitly discussed, the reason for that is that available CSI was subject to delays.
Besides, we propose a fairness analysis tool inspired in portfolio theory to facilitate the study of the existing trade-offs in terms of system performance versus fairness among relays in a realistic scenario where available CSI is subject to delays.
Compared to the average transmit power, the end-to-end channel capacity of the WF method is higher in the perfect CSI; however, it is subject to the effect of imperfect CSI.
In addition, some miRNAs, including csi-miR166j.1 csi-miR166j.13, csi-miR166j.3, csi-miR4414.1csi-miR391ba, the csi-miR1432aamily and the csi-miR169 family, were expressed in leandand flower butheere not detected in fruit.
In this case, CSI: Miami, CSI: NY, and the original CSI are all options.
Therefore, we analyzed subjects with a CSI > 45.
We assume that all the channel state information (CSI) is imperfectly known at the relay subject to norm-bounded CSI errors.
It is presumed that the wireless channels from the source/relay to the destination/eavesdroppers are subject to norm-bounded CSI errors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com