Performance of Regularized Zero Forcing (RZF) Precoding for Multiuser Massive MIMO-GFDM System over mmWave Channel

Wael, Chaeriah Bin Ali; Suyoto, '; Armi, Nasrullah; Satyawan, Arief Suryadi; Sukoco, Bagus Edy; Subekti, Agus

doi:10.1109/icramet53537.2021.9650347

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…MRC and ZF precoders have been considered with using perfect and imperfect CSI. In [22], the authors evaluated BER performance of multi-user massive MIMO system over millimetre wave (mmWave) channel. Multi-user massive MIMO technique was combined to GFDM waveform.…”

Section: Literature Reviewmentioning

confidence: 99%

Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern

Soufy

Nashwan

Al-Kamali

et al. 2023

The Journal of Engineering

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Massive multiple-input multiple-output (MIMO) is a critical component of 5G cellular networks, which utilizes large numbers of antennas at both the transmitter and receiver to enhance throughput and radiated energy efficiency. Various linear detection techniques are employed with massive MIMO to counteract path loss and interference, and maximize throughput. The first aim of this paper is to analyse the performance of uplink massive MIMO system for different linear detection techniques including: Maximum ratio combining (MRC), zero-forcing (ZF), regularized ZF (RZF) and minimum mean squared error (MMSE) over Rayleigh channel model. The second aim is to jointly investigate the optimal values of signal-to-noise ratio (SNR), the number of antennas M and the number of users K for maximizing the spectral efficiency (SE) and energy efficiency (EE) through simulation using MATLAB and 3D plotting patterns. The obtained results show that the best SE and EE are achieved by uplink massive MIMO setup while using optimal values of SNR, M and K. It is observed that MMSE achieved the best performance. However, it requires estimation of average SNR at BS. Therefore, the best choice is ZF or RZF without any need for SNR estimation.

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Section: Literature Reviewmentioning

confidence: 99%

Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern

Soufy

Nashwan

Al-Kamali

et al. 2023

The Journal of Engineering

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“…In practice, we predict the SINAD lower bound in (10) to provide a tight approximation for the SINAD. Indeed, under Assumption 2, all users experience the same channel statistics, we expect that…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…The proposed precoder in [9] reminds the conventional regularized zero-forcing precoder (RZF) [10], in that it builds on the regularized least squares (RLS) method to minimize a penalty of the residue sum of squares (RSS). The main difference with RZF is that it constrains the absolute value of the precoded vector to not exceed a certain threshold.…”

Section: Introductionmentioning

confidence: 99%

Asymptotic Analysis of RLS-Based Digital Precoder With Limited PAPR in Massive MIMO

Kammoun

Alrashdi³

et al. 2022

IEEE Trans. Signal Process.

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This paper focuses on the performance analysis of a class of limited peak-to-average power ratio (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MIMO) systems. Contrary to conventional precoding approaches based on simple linear precoders such as maximum ratio transmission (MRT) and regularized zero-forcing (RZF), the precoders in this paper are obtained by solving a convex optimization problem. To be specific, these precoders are designed so that the power of each precoded symbol entry is restricted, and the PAPR at each antenna is tunable. By using the Convex Gaussian Min-max Theorem (CGMT), we analytically characterize the empirical distribution of the precoded vector and the joint empirical distribution between the distortion and the intended symbol vector. This allows us to study the performance of these precoders in terms of per-antenna power, per-user distortion power, signal-to-noise and distortion ratio (SINAD), and bit error probability. We show that for this class of precoders, there is an optimal transmit per-antenna power that maximizes the system performance in terms of SINAD and bit error probability.

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“…The proposed precoder reminds the conventional regularized zero forcing precoder (RZF) [12], in that it builds on the regularized least square (RLS) method to minimize a regularized penalty of the residue sum of squares (RSS). The main difference with RZF is that it constrains the absolute value of the inputs of the precoded vector to not exceed a certain threshold.…”

Section: Introductionmentioning

confidence: 99%

Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO

Ma,

Kammoun,

Alrashdi

et al. 2022

Preprint

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This paper focuses on the performance analysis of a class of limited peak-to-average power ratios (PAPR) precoders for downlink multi-user massive multiple-input multiple-output (MIMO) systems. Contrary to conventional precoding approaches based on simple linear precoders maximum ratio transmission (MRT) and regularized zero forcing (RZF), the precoders in this paper are obtained by solving a convex optimization problem. To be specific, for the precoders we analyze in this paper, the power of each precoded symbol entry is restricted, which allows them to present a reduced PAPR at each antenna. By using the Convex Gaussian Min-max Theorem (CGMT), we analytically characterize the empirical distribution of the precoded vector and the joint empirical distribution between the distortion and the intended symbol vector. This allows us to study the performance of these precoders in terms of perantenna power, per-user distortion power, signal to interference and noise ratio, and bit error probability.We show that for this class of precoders, there is an optimal transmit power that maximizes the system performance.

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Performance of Regularized Zero Forcing (RZF) Precoding for Multiuser Massive MIMO-GFDM System over mmWave Channel

Cited by 4 publications

References 13 publications

Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern

Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern

Asymptotic Analysis of RLS-Based Digital Precoder With Limited PAPR in Massive MIMO

Sharp Analysis of RLS-based Digital Precoder with Limited PAPR in Massive MIMO

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