作者: Nam-Phong Nguyen , Octavia A. Dobre , Long D. Nguyen , Chuyen T. Nguyen , H. Vincent Poor
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摘要: In this paper, the secrecy performance of a massive multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) network is studied in presence multiple-antenna eavesdropper. The ergodic rates for downlink transmission considered system are derived to provide important insights. Then, by using these results, joint power allocation scheme proposed both uplink training and data phases maximize sum rates. Because utility function interest non-concave involved constraints non-convex, new iterative algorithm proposed, which can find at least local optimum. obtained results reveal that NOMA networks benefits from deploying MIMO techniques. They also indicate optimization enhances system.