Performance Analysis of Linear Precoded MU-MIMO-OFDM Systems With Nonlinear Power Amplifiers and Correlated Channel

Moazzen, Hamidreza; Mohammadi, Abbas; Majidi, Mahdi

doi:10.1109/tcomm.2019.2922197

Cited by 9 publications

(6 citation statements)

References 45 publications

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“…Various studies have taken an explicit interest in the question of estimating the direction of departures (DODs) and direction of arrivals (DOAs) for the source separation in MIMO systems [17]. Two main other subjects were dealt with: Multi-user MIMO systems (MU-MIMO) [18][19][20] and Massive MIMO systems [21]. In [22], the authors proposed a parametric method of antenna processing.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Development Level and Technical Contribution of Recent Technologies Adopted to Meet the Challenges of 5G Wireless Cellular Networks

Albadran

2021

Symmetry

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The evolution of the global wireless market is accompanied by an increased need in terms of speed and number of users, lower latency, better coverage, better spectral efficiency and quality of service, etc. To meet these needs, 5G has recently been introduced as an effective solution which targets, via the large scale deployment of symmetric antennas, a wide variety of sectors such as energy, health, media, industry, transport and especially wireless cellular networks which are among the most important pillars of modern societies. Multiple Input, Multiple Output (MIMO) systems, which have been extended to “Massive MIMO” mode and which consist of increasing the number of radiating elements involved in the transmission and reception of the radio link, are a very promising solution for improving the spectral efficiency of wireless communication systems (WCSs). Motivated by the aforementioned developments, the present paper investigates the increased capacity of MIMO systems to improve transmission in WCSs using 5G. It carefully focuses on the evaluation of the development level and technical contribution of MIMO systems and millimeter wave (mmWave) bands in 5G wireless cellular networks (WCNs) and gives important recommendations.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Development Level and Technical Contribution of Recent Technologies Adopted to Meet the Challenges of 5G Wireless Cellular Networks

Albadran

2021

Symmetry

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“…PA,1 (t))e jφ Tx,1 (t) [27], where 2 . Note that Hammerstein model is widely used in literature for characterizing a nonlinear PA [26], [27], [30], [41]. Moreover, a third order polynomial is considered since it is the strongest nonlinearity and model the behaviour of nonlinear PA precisely [30].…”

Section: System Modelmentioning

confidence: 99%

Cognitive GFDM Full-Duplex Radios With RF Impairments and ACI Constraints

Mohammadian

Tellambura

2020

IEEE Open J. Commun. Soc.

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We investigate the problem of sum-rate maximization of a secondary link of full-duplex generalized frequency division multiplexing (GFDM) radios operating over a spectrum hole, which is surrounded by two active primary adjacent channels. Thus, the secondary transmissions must be below an adjacent channel interference (ACI) threshold. In-band distortions and several interference terms are also caused by phase noise, in-phase (I) and quadrature (Q) imbalance, carrier frequency offset (CFO) and the nonlinear power amplifier (PA). Analog domain and digital domain self-interference (SI) cancellation is also considered. We study the two cases of two independent oscillators for local transmitter and receiver and one common shared oscillator. We derive the powers of residual SI, desired signal, interference signal and noise, signal-to-interference-plus noise ratio (SINR) and the power spectral density (PSD) of the transmit signal. By using successive convex approximations, we solve the sum-rate maximization problem. Finally, we show that in full-duplex radios under certain RF impairments, GFDM may double the sum rate compared to that of orthogonal frequency division multiplexing (OFDM). INDEX TERMS Full-duplex radios, generalized frequency division multiplexing (GFDM), cognitive radio, spectrum hole, radio frequency (RF) impairments, rate optimization.

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“…However, downlink transmission of MIMO systems requires the base station (BS) to equip each transmit antenna element with a separate radio frequency (RF) chain (including a pair of high-resolution DACs, a linear PA, mixers, and so on). Since massive MIMO system contains hundreds or thousands of antenna elements, the fully-digital massive MIMO BS architecture presents high hardware complexity and power consumption, which have a significant impact on the performance and power efficiency of the communication system [4]. Hence, fully-digital massive MIMO may not be preferable in practical implementation, and the study for reducing the power consumption of BS in massive MIMO plays an important role for their widespread deployment in cellular mobile communication systems.…”

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confidence: 99%

“…[29] jointly optimized the precoding and power allocation strategy to maximize the achievable sum rate of MU-MIMO systems. [30] investigated the effect of PA nonlinearity for the downlink MU-MIMO orthogonal frequency division multiplexing (OFDM) system in a correlated channel, and derived the analytical signal to distortion, interference and noise ratio (SINDR).…”

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confidence: 99%

“…Although some performance benefits can be observed in [25]- [30] by considering the nonlinear PA characteristics, these schemes view the MUI in the communication system and the signal distortion introduced nonlinear PA as harmful interference that need to be eliminated. Nevertheless, such design criterion may be sub-optimal since it has been shown that known interference can further benefit the system performance, achieved by constructive interference (CI) and SLP [31].…”

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confidence: 99%

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Exploiting Power Amplifier Nonlinearities Through Symbol-Level Interference Exploitation Precoding in the MU-MIMO Downlink

Wei,

Li,

Masouros

2024

IEEE Trans. Wireless Commun.

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In this paper, we study the interference exploitation precoding in the presence of distortion from nonlinear power amplifiers (PAs) in multi-user multiple-input single-output (MU-MISO) downlink communication systems. We consider the memoryless polynomial model of nonlinear PAs, which is incorporated into the symbol-level precoding (SLP) design to allow the PA nonlinearities in the constructive interference (CI) exploitation. The optimization problem that aims to enhance the signal-tointerference-plus-noise ratio (SINR) without investing additional transmit signal power is formulated for both PSK and QAM signaling. Since the original optimization problem is nonconvex, we first introduce auxiliary variables to transform the optimization problem and adopt the alternating optimization framework for the new optimization problem. For non-convex subproblems, additional auxiliary variables are introduced and several approximations are employed to transform the problem into a semidefinite programming (SDP) form, where the semidefinite relaxation (SDR) method is adopted to obtain feasible solutions. In order to reduce the computational cost of the iterative algorithm, we further propose a low-complexity algorithm for the original PA-aware SLP optimization problem. Numerical results verify the superiority of our proposed PA-aware SLP approach in the presence of nonlinear PAs in the MU-MISO downlink in terms of the error-rate performance over the state-of-the-art.

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Performance Analysis of Linear Precoded MU-MIMO-OFDM Systems With Nonlinear Power Amplifiers and Correlated Channel

Cited by 9 publications

References 45 publications

Evaluation of Development Level and Technical Contribution of Recent Technologies Adopted to Meet the Challenges of 5G Wireless Cellular Networks

Evaluation of Development Level and Technical Contribution of Recent Technologies Adopted to Meet the Challenges of 5G Wireless Cellular Networks

Cognitive GFDM Full-Duplex Radios With RF Impairments and ACI Constraints

Exploiting Power Amplifier Nonlinearities Through Symbol-Level Interference Exploitation Precoding in the MU-MIMO Downlink

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