Low-Complexity Joint Channel Estimation for Multi-User mmWave Massive MIMO Systems

Du, Jianhe; Li, Jiaqi; He, Jing; Guan, Yong Liang; Lin, Hui

doi:10.3390/electronics9020301

Cited by 7 publications

(4 citation statements)

References 40 publications

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“…High accurate and low complex channel estimation scheme called "Step-length optimization-based joint iterative scheme" is developed for MU mMIMO system that uses less number of training sequences even for large number of users [116]. Hybrid channel estimation is proposed where the channel matrix is decomposed into an angle matrix and gain matrix.…”

Section: Channel Modelling In Mu-ultra-mmimo Systemsmentioning

confidence: 99%

Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies

Dilli

2021

Int J Wireless Inf Networks

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Frequencies above 100 GHz are the promising frequency bands for 6G wireless communication systems because of the abundant unexplored and unused spectrum. The increasing global demand for ultra-high spectral efficiencies, data rates, speeds and bandwidths in next-generation wireless networks motivates the exploration of peak capabilities of massive MIMO (Multi–Input–Multi–Output) wireless access technology at THz bands (0.1–10 THz). The smaller wavelengths (order of microns) of these frequencies give an advantage of making high gain antennas with smaller physical dimensions and allows massive spatial multiplexing. This paper presents the design of ultra-massive MIMO (ultra-mMIMO) hybrid beamforming system for multi users and its feasibility to function at THz frequency bands. The functionality of the proposed system is verified at higher order modulation schemes to achieve higher spectral efficiencies using performance metrics that includes error vector magnitude, symbol constellations, and antenna array radiation beams. The performance results suggest to use a particular mMIMO antenna configuration based on number of independent data streams per user and strongly recommended to use higher number of data streams per user in order to achieve higher throughputs that satisfy the needs of 6G wireless systems. Also the performance of the proposed system at 0.14 THz is compared with mmWave systems that operate at 28 GHz and 73 GHz bands to justify the feasibility of the proposed work.

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Section: Channel Modelling In Mu-ultra-mmimo Systemsmentioning

confidence: 99%

Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies

Dilli

2021

Int J Wireless Inf Networks

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“…By leveraging the abundant frequency spectrum resource in the mmWave frequency band, mmWave communication can support a higher data rate than that of conventional wireless communication systems. However, one bottleneck of the mmWave communication technology is that severe environmental conditions and hardware constraints must be considered, for instance, high path loss, reduced diffraction, implementation costs, and power consumption [15,16].…”

Section: Introductionmentioning

confidence: 99%

Robust Channel Estimation Scheme for Multi-UAV MmWave MIMO Communication with Jittering

Chen

2023

Electronics

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In unmanned aerial vehicle (UAV)-assisted millimeter-wave (mmWave) communications, the communication performance is significantly degraded by UAV jitter. We formulate a UAV-assisted mmWave channel model with hybrid beamforming for the impacts of UAV jitter. Then, we derive the distribution of angle of arrivals/departures (AOAs/AODs) with random fluctuation of the UAV attitude angle. We develop an iterative reweight-based robust scheme as the super-resolution AOAs/AODs estimation method. Specifically, we introduce the partially adaptive momentum (Padam) estimation method to optimize the objective function of the jittering UAV mmWave massive multi-input multioutput (MIMO) system. Finally, compared with existing channel estimation schemes, the proposed UAV mmWave channel estimation method can achieve robust super-resolution performance in AOAs/AODs and path gains estimation with numerical results. Therefore, the proposed channel estimation scheme is very suitable for UAV mmWave massive MIMO communications with jittering.

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“…Fortunately, the mm-wave signals can encounter these challenges by combating a large number of antennas to be deployed in a small area. Herein, massive multiple-input multiple-output (massive-MIMO) plays a crucial role in enabling a large number of antennas [3,[6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Multi-User Massive MIMO Systems Based on Hybrid Analog-Digital Beamforming for Millimeter-wave Communications

Hussein¹,

Khamiss²

2020

IJIES

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The rapid growth of traffic data will encounter future wireless communication. Unfortunately, the microwave spectrum cannot meet such rapid development. While Millimeter-wave (mm-wave) band can support the rapid growth of traffic owing to such band offers the enormous available bandwidth and multi-gigabit-per-second (Gbps) data rates. Therefore, a hybrid Beamforming solution (HBF) is a promising approach that exploits the small matrix digital precoding and the high matrix analog beamforming. This study addresses the question of how to effectively design and simulation of a low complexity hybrid precoding. It achieves near-fully digital precoding performance based on the hybrid minimum mean square error (MMSE) criterion and extraction of the angle phase for the analog beamforming as well as the Kalman precoding for the digital precoding. Thus, the results indicate that the proposed hybrid precoding has the best performance than the ZF hybrid precoding, the MMSE hybrid precoding, and the Kalman hybrid precoding in terms of computational complexity and spectral efficiency. The proposed solution achieves almost 2.257 bps/Hz, at 20 dB with 3 number of paths and 3 number of scattering clusters compared to the Kalman precoding, almost 2.704 bps/Hz related to the MMSE precoding, and 2.95 bps/Hz compared to the Zero Forcing (ZF) under the same conditions. On the other hand, proposed precoding harvests 8.554 bps/Hz related to the analog beamforming while -1.178 bps/Hz concerning the full digital precoding that is considered as an optimal value. This research has thrown up many questions in need of further investigation.

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Low-Complexity Joint Channel Estimation for Multi-User mmWave Massive MIMO Systems

Cited by 7 publications

References 40 publications

Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies

Design and Feasibility Verification of 6G Wireless Communication Systems with State of the Art Technologies

Robust Channel Estimation Scheme for Multi-UAV MmWave MIMO Communication with Jittering

Multi-User Massive MIMO Systems Based on Hybrid Analog-Digital Beamforming for Millimeter-wave Communications

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