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The resulting scalar problem (7) aims to maximize the secrecy rate and meanwhile maintain the QoMS above a given threshold.
When deriving achievable rate, we will focus on a specific sequence of schedules, and maximize the secrecy rate over.
Specifically, [25] investigated the AF-based relay beamforming scheme in the presence of multiple eavesdroppers to maximize the secrecy rate.
In the proposed ACA-A model, we try to maximize the secrecy rate on each subcarrier, and finally the system sum secrecy rate is maximized.
Aiming at this problem,[32] presents the AF- and DF-based optimal relay selection to maximize the secrecy rate, without using artificial noise.
In addition, the objective of the aforementioned works is to improve the secrecy rate or maximize the secrecy capacity, while seldom works consider the fairness among the sources.
Similar(46)
To prevent the energy receiver from possibly eavesdropping the information, our target is to maximize the secrecy-rate of the ID receiver while at the same time maintaining a minimum required energy for the EH receiver.
The centralized solution is found by maximizing the secrecy capacity only.
In [8], authors aimed to design the optimal jamming vector that maximizes the secrecy rate and mitigates loop interference.
Also, centralized approaches targeting at maximizing the secrecy sum rate in a NOMA system have been proposed [12].
The optimal selection maximizes the secrecy capacity and is given as {R}^{ast }= arg underset{R_i,i=1,dots, M}{ max}left{frac{gamma_{R_iD}}{gamma_{R_iE}}right}.
More suggestions(15)
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