Journal
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
Volume 31, Issue 2, Pages 303-313Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSAC.2013.130217
Keywords
Convex optimization; multi-user wireless communication; multiple-input multiple-output (MIMO); orthogonal frequency-division multiplexing (OFDM); peak-to-average (power) ratio (PAR) reduction; precoding
Funding
- Swiss National Science Foundation (SNSF) [PA00P2-134155]
- Swedish Foundation for Strategic Research (SSF)
- Swedish Research Council (VR)
- Royal Swedish Academy of Sciences (KVA) Research Fellow
- Knut and Alice Wallenberg Foundation
- Swiss National Science Foundation (SNF) [PA00P2_134155] Funding Source: Swiss National Science Foundation (SNF)
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We investigate an orthogonal frequency-division multiplexing (OFDM)-based downlink transmission scheme for large-scale multi-user (MU) multiple-input multiple-output (MIMO) wireless systems. The use of OFDM causes a high peak-to-average (power) ratio (PAR), which necessitates expensive and power-inefficient radio-frequency (RF) components at the base station. In this paper, we present a novel downlink transmission scheme, which exploits the massive degrees-of-freedom available in large-scale MU-MIMO-OFDM systems to achieve low PAR. Specifically, we propose to jointly perform MU precoding, OFDM modulation, and PAR reduction by solving a convex optimization problem. We develop a corresponding fast iterative truncation algorithm (FITRA) and show numerical results to demonstrate tremendous PAR-reduction capabilities. The significantly reduced linearity requirements eventually enable the use of low-cost RF components for the large-scale MU-MIMO-OFDM downlink.
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