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• W2620915951 abstract "Nonorthogonal multiple access (NOMA) is expected to be a promising technique for future wireless networks. In this letter, we investigate the secrecy sum rate optimization problem for a downlink multiple-input-multiple-output NOMA system that consists of a base station, multiple legitimate users, and an eavesdropper. Our objective is to maximize achievable secrecy sum rate subject to successful successive interference cancellation constraints and transmit power constraint. The formulated optimization problem is nonconvex. Motivated by the relationship between mutual information rate and minimum mean square error, we propose to transform the secrecy sum rate optimization problem into a biconvex problem. The biconvex problem is solved by alternating optimization method where in each iteration, we solve a second-order cone programming. Simulation results demonstrate that our proposed NOMA scheme outperforms conventional orthogonal multiple access scheme." @default.
• W2620915951 created "2017-06-09" @default.
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• W2620915951 date "2017-08-01" @default.
• W2620915951 modified "2023-10-09" @default.
• W2620915951 title "Secrecy Sum Rate Optimization for Downlink MIMO Nonorthogonal Multiple Access Systems" @default.
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• W2620915951 doi "https://doi.org/10.1109/lsp.2017.2711022" @default.
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