Journal
IEEE ACCESS
Volume 7, Issue -, Pages 25474-25484Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2900128
Keywords
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)
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Funding
- European Union [H2020-EU.1.3.2, 796401]
- Marie Curie Actions (MSCA) [796401] Funding Source: Marie Curie Actions (MSCA)
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We investigate the peak-to-average power ratio (PAPR) reduction problem in orthogonal frequency-division multiplexing-based massive multi-user (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 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 an excellent transmission quality. The simulation results show that the proposed MU-PP-GDm has low computational complexity and can achieve substantial PAPR performance with a fast convergence rate.
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