Barzilai-Borwein Gradient Algorithm Based Alternating Minimization for Single User Millimeter Wave Systems

Mulla, Mustafa; Ulusoy, Ali Hakan; Rızaner, Ahmet; Amca, Hasan

doi:10.1109/lwc.2019.2960691

Cited by 13 publications

(3 citation statements)

References 12 publications

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“…where it can be shown in the vector form as = [ ( 1), ( 2), … , ( MS )] [29,30]. After arranging the received signal, the output of the filter is passed through the hybrid combiners, RF and BB , which are calculated using the alternating minimization method given in [38]. It should also be noted that the hybrid precoders, RF and BB , are solved in the same way.…”

Section: Proposed Adaptive Fuzzy Logic-based Filtermentioning

confidence: 99%

Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise

Mulla

Rızaner

Ulusoy

2021

Preprint

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The conventional millimeter wave systems are mostly designed to operate only for the Gaussian noise model. Although this model simplifies the noise removal problem, recent research findings state that a mixture noise model with additive impulsive noise is a more realistic approximation for millimeter wave channels. In this paper, we propose a novel approach to eliminate the impulsive noise effects on single-user millimeter wave massive multiple-input-multiple-output system using an adaptive fuzzy logic filter. Hence, a fuzzy median filter is applied to the system and it is aimed to minimize the effects of the impulsive noise by ordering samples based on fuzzy rank. Simulation results show that the proposed filter successfully eliminates the impulsive noise effects and achieves a better bit error rate and spectral efficiency performance than the competing methods in the literature while also working efficiently in Gaussian noise.

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Section: Proposed Adaptive Fuzzy Logic-based Filtermentioning

confidence: 99%

Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise

Mulla

Rızaner

Ulusoy

2021

Preprint

Self Cite

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“…Massive multiple-input multiple-output (M-MIMO) technologies are pivotal for the evolution and deployment of fifthgeneration (5G) and beyond-5G (B5G) wireless networks, as highlighted by recent research [1]. Specifically, M-MIMO enhances the reliability, security, and data transmission rates within wireless systems through the implementation of straightforward receiver processing techniques, as demonstrated in several relevant studies [2][3][4][5][6]. The concept of MIMO entails the integration of multiple antennas in both the transmission and reception elements of a wireless system.…”

Section: Introductionmentioning

confidence: 99%

On the Performance of MMSE Channel Estimation in Massive MIMO Systems over Spatially Correlated Rician Fading Channels

Arellano,

Altamirano,

Carvajal Mora

et al. 2024

Wireless Communications and Mobile Computing

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Massive multiple-input-multiple-output (M-MIMO) offers remarkable advantages in terms of spectral, energy, and hardware efficiency for future wireless systems. However, its performance relies on the accuracy of channel state information (CSI) available at the transceivers. This makes channel estimation pivotal in the context of M-MIMO systems. Prior research has focused on evaluating channel estimation methods under the assumption of spatially uncorrelated fading channel models. In this study, we evaluate the performance of the minimum-mean-square-error (MMSE) estimator in terms of the normalized mean square error (NMSE) in the uplink of M-MIMO systems over spatially correlated Rician fading. The NMSE allows for easy comparison of different M-MIMO configurations, serving as a relative performance indicator. Besides, it is an advantageous metric due to its normalization, scale invariance, and consistent performance indication across diverse scenarios. In the system model, we assume imperfections in channel estimation and that the random angles in the correlation model follow a Gaussian distribution. For this scenario, we derive an accurate closed-form expression for calculating the NMSE, which is validated via Monte-Carlo simulations. Our numerical results reveal that as the Rician K-factor decreases, approaching Rayleigh fading conditions, the NMSE improves. Additionally, spatial correlation and a reduction in the antenna array interelement spacing lead to a reduction in NMSE, further enhancing the overall system performance.

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“…Nowadays,there is increasing research in the area of mmWave MIMO systems ( [5,6,7,8,9,10,11,12,13,14]). In this work, we propose low-complexity channel decomposition precoding techniques for a mmWave system with large antenna arrays at both the base station (BS) and mobile station MS in this research.…”

Section: Introductionmentioning

confidence: 99%

A Reduced Complexity Hybrid Precoding for mmWave Systems

Hilal

2022

Preprint

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The emergence of millimeter wave (mmWave) communication signals leads a new era in wireless technology. High-bandwidth communication channels are available in the mmWave spectrum compared to the current commercial wireless systems. Wireless local and personal area networks in the unlicensed band, 5G cellular systems, as well as vehicle area networks, ad hoc networks, and wearables are just a few of the many uses for mmWave technology. The next generation of mmWave communication relies heavily on signal processing. Combined with radio frequency and mixed signal power limits, new multiple-input multiple-output (MIMO) communication signal processing techniques are necessary. Low-complexity transceiver techniques are required because of the large bandwidths. Compressed sensing techniques can be used for channel estimation and beamforming in the future. Channel matrix in mmWave MIMO systems has significant importance on the hybrid precoding systems. Most precoding techniques are working on processing the MIMO channel to find the optimum beamforming vectors. This article provides a significant study on reducing the MIMO channel complexity in order to find the optimum beamforming elements. The study shows that the spectral efficiency of the system can be slightly sacrificed to reduce the complexity of the system based on the MIMO channel matrix low rank decomposition. We show the derivation and simulation of the proposed system through MATLAB software after the mathematical modelling and verification of the system.

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Barzilai-Borwein Gradient Algorithm Based Alternating Minimization for Single User Millimeter Wave Systems

Cited by 13 publications

References 12 publications

Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise

Hybrid Decoder with an Adaptive Fuzzy Logic Filter for Single-User Millimeter Wave Systems Under Impulsive Noise

On the Performance of MMSE Channel Estimation in Massive MIMO Systems over Spatially Correlated Rician Fading Channels

A Reduced Complexity Hybrid Precoding for mmWave Systems

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