Low‐complexity linear precoding for low‐PAPR massive MU‐MIMO‐OFDM downlink systems

Summary To design new revolutionary wireless communication systems, orthogonal frequency‐division multiplexing (OFDM)‐based massive multiuser (MU) multiple‐input multiple‐output (MIMO) has been shown to be the most promising technology to significantly enhance the spectral, energy, and hardware effi...

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Vydáno v:International journal of communication systems Ročník 34; číslo 12
Hlavní autoři: Zayani, Rafik, Roviras, Daniel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Chichester Wiley Subscription Services, Inc 01.08.2021
Wiley
Témata:
Algorithms
beyond 5G
Bit error rate
Complexity
Domains
Downlinking
energy efficiency
Engineering Sciences
Error analysis
Hardware
Iterative methods
massive MIMO
Mathematical analysis
MIMO communication
OFDM
Orthogonal Frequency Division Multiplexing
PAPR
Polynomials
power amplifier
Power amplifiers
Radio frequency
Transmitters
Wireless communication systems
ISSN:1074-5351, 1099-1131
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Shrnutí:Summary To design new revolutionary wireless communication systems, orthogonal frequency‐division multiplexing (OFDM)‐based massive multiuser (MU) multiple‐input multiple‐output (MIMO) has been shown to be the most promising technology to significantly enhance the spectral, energy, and hardware efficiencies. However, massive MU‐MIMO‐OFDM transmitters exhibit signal with high peak‐to‐average power ratio (PAPR). Accordingly, the nonlinearity of the radio frequency (RF) power amplifier (PA), which causes the most severe hardware impairment, is expected to be a low‐cost and energy‐efficient component to enable cost‐ and energy‐efficient massive MU‐MIMO‐OFDM BS deployments, generating harmful in‐band distortion and out‐of‐band (OOB) emissions. In this paper, we develop a PAPR‐aware downlink transmission scheme in an OFDM‐based large‐scale MU‐MIMO. Linear precoding of data and peak‐canceling signals (PCSs) are employed to reduce the PAPRs of the transmitted signals by exploiting the excess degrees of freedom (DoFs) provided by equipping the base station (BS) by a large number of transmit antennas. Specifically, we design PCSs to be added to the frequency‐domain precoded data signals, with the goal of reducing the PAPRs of their time‐domain counterpart signals. Most importantly, the added PCSs have to lie in the null spaces of their associated MIMO channel matrices such that they do not cause any MU interference (MUI) and OOB radiation. In this regard, an efficient algorithm is developed, which is based on different data and PCSs precoders, and the corresponding achievable PAPR reduction and bit error rate (BER) performance are analyzed. Moreover, to optimize a tradeoff between performance and complexity, linear precoders based on matrix polynomials (M‐POLYs) and gradient‐iterative approaches are studied for both data and PCSs precoding. Simulation results reveal that these latter provide similar performance as the regularized zero‐forcing (RZF) and orthogonal projection null space (OPNS)‐based data and PCSs precoders, while they need much lower computational complexity. The substantial PAPR reduction provided by the proposed algorithm offers interesting insights for the design of energy‐efficient massive MU‐MIMO‐OFDM systems. The degrees of freedom (DoFs) offered by massive MIMO allow linear precoding to generate signals with lower PAPR while guaranteeing excellent performance. This feature offers interesting insights for the design of energy‐efficient massive MU‐MIMO‐OFDM systems.
Bibliografie:Funding information
H2020 Marie Skłodowska‐Curie Actions, Grant/Award Number: 796401
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SourceType-Scholarly Journals-1
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ISSN:1074-5351
1099-1131
DOI:10.1002/dac.4889