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[ZSR19a] PAPR-aware Massive MIMO-OFDM Downlink
Revue Internationale avec comité de lecture : Journal IEEE ACCESS, pp. 00, 2019, (doi:10.1109/ACCESS.2019.2900128)Mots clés: 5G+, massive multiple-input multiple-output (MIMO), orthogonal frequency-division multiplexing (OFDM), peak-to-average power ratio (PAPR), multi-user (MU) precoding, convex optimization, gradient descent (GD).
Résumé:
We investigate the peak-to-average power ratio (PAPR) reduction problem in orthogonal frequency-division multiplexing (OFDM) based massive multiuser (MU) multiple-input multiple-output (MIMO) downlink systems. In this paper, we develop a downlink transmission scheme that performs jointly MU precoding and PAPR reduction (PP) by exploiting the excess degrees of freedom (DoF) offered by equipping the BS by a large number of antennas. Specifically, the joint MU precoding and PAPR reduction scheme is formulated as a simple convex optimization problem solved via steepest gradient descent (GD) approach. Then, we develop a novel algorithm, referred to as MU-PP-GDm, to reduce the PAPR of the transmitted signals by exploiting the high-dimensional null-space of the MIMO channel matrix while maintaining excellent transmission quality. Simulation results show that the proposed MU-PP-GDm has a low computational complexity and can achieve substantial PAPR performance with fast convergence rate. INDEX TERMS 5G+, massive multiple-input multiple-output (MIMO), orthogonal frequency-division multiplexing (OFDM), peak-to-average power ratio (PAPR), multiuser (MU) precoding, convex optimization , gradient descent (GD).
BibTeX
| @article { | |||
| ZSR19a, | |||
| title | = | "{PAPR-aware Massive MIMO-OFDM Downlink}", | |
| author | = | "R. Zayani and H. Shaiek and D. Roviras", | |
| journal | = | "IEEE ACCESS", | |
| year | = | 2019, | |
| pages | = | "00", | |
| doi | = | "10.1109/ACCESS.2019.2900128", | |
| } | |||
