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• W3106338506 abstract "With the dramatic increment of data traffic, energy efficiency has become a critical concern in the beyond 5G mobile system. In this paper, we study the max-min fairness-based energy efficient transmission strategy design for multicell massive multiple-input multiple-output (MIMO) downlink transmission, exploiting the statistical channel state information (CSI). We first derive the closed-form eigenvectors of the optimal downlink transmit covariance matrices, which reduces the original precoding design into a power allocation problem. Then, by exploiting the minorization-maximization procedure and Dinkelbach's transform, we propose an iterative energy-efficient power allocation algorithm with low complexity and guaranteed convergence. The performance gain of the proposed algorithm over other baselines is demonstrated in the numerical results." @default.
• W3106338506 created "2020-11-23" @default.
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• W3106338506 date "2020-08-09" @default.
• W3106338506 modified "2023-09-24" @default.
• W3106338506 title "Max-Min Energy-Efficient Multi-Cell Massive MIMO Transmission Exploiting Statistical CSI" @default.
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• W3106338506 doi "https://doi.org/10.1109/iccc49849.2020.9238778" @default.
• W3106338506 hasPublicationYear "2020" @default.
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