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Least Mean Squares Based Kalman Hybrid Precoding for Multi-User Millimeter Wave Massive MIMO Systems
Millimeter wave massive multiple-input and multiple-output (MIMO) systems support several antennas at the receiver and transmitter sides to serve...
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Performance Evaluation of Spectral Efficiency Hybrid Precoding and Combining Algorithm for Millimeter Wave -MIMO Systems
Multiple input multiple output (MIMO) system with Millimeter Wave spectrum is currently used in most wireless applications and all cellular system to...
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Performance Analysis of 5 G Wireless Hybrid Precoding Using Evolutionary Algorithms
Emerging 5G communication solutions utilize the millimeter wave (mmWave) band to alleviate the spectrum deficit. In the mmWave range, Multiple Input...
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Digital Joint Equivalent Channel Hybrid Precoding for Millimeter Wave Massive MIMO Systems
Aiming at the problem that the spectral efficiency of hybrid precoding (HP) is too low in the current millimeter-wave (mmWave) massive multiple input...
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CNN-DPC algorithm for hybrid precoding in millimeter-wave massive MIMO systems
The dynamic partially connected (DPC) structure can achieve the trade-off between hardware loss and precoding performance of millimeter-wave...
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Design of Hybrid Precoding for Millimeter-Wave Massive MIMO System
In order to improve the spectral efficiency of hybridly-connected hybrid precoding, the optimal hybrid precoding matrix under the ideal conditions...
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Joint hybrid-precoding design for MU-MISO systems with a subconnected architecture
In this study, we propose a joint hybrid-precoding algorithm for multiuser multiple-input single-output downlink systems. Specifically, we consider...
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RF Chain Selection Using Hybrid Optimization with Precoding in mm-Wave Massive MIMO Systems
Energy efficiency is considered the prominent metric in data communication systems and has a greater impact on designing Millimetre-wave (mm-wave)...
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Spectral efficiency of hybrid precoding and combining design for mm-Wave multi-user massive MIMO systems
Signal loss remains a persistent challenge in communication systems, impacting Multiple Input Multiple Output (MIMO) systems, especially in the...
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Hybrid Precoding for Multicast Downlink Transmit in LEO Satellite Communications
This paper investigated a hybrid precoding design in multigroup multicast scenario for low earth orbit (LEO) satellites communications (SATCOM)....
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Hybrid Precoding Towards Higher Frequency Systems
We propose a hybrid precoding scheme for the cluster-based multi-carrier beam division multiple access (MC-BDMA) to enable THz massive connections....
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A Novel Two Stage Hybrid Multi-user Precoding Design for Massive MIMO System
Massive multi-user multi-input multi-output (MIMO) with a hybrid structure is considered a promising technology for the future wireless communication...
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Performance Analysis of Linear and Hybrid Precoding on Massive MIMO System Using Truncated Polynomial Expansion
This research examines the performing of linear precoding techniques in downlink massive MIMO systems. The downlink massive MIMO systems, linear...
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Spectral-efficient hybrid precoding for multi-antenna multi-user mmWave massive MIMO systems with low complexity
Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems allow for a data transmission rate of gigabits per second owing to the...
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Hybrid Precoding for Narrowband Multiuser mmWave Systems
Hybrid precoding has been a promising technique in mmWave communications, providing a balanced tradeoff between system performance and hardware...
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Hybrid Precoding Schemes for mmWave Massive MIMO Systems—A Comprehensive Survey
The mmWave massive Multi Input Multi Output (MIMO) systems play a vital role in beyond 5G communications. The prevalence of massive MIMO systems...
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Hybrid Precoding for Wideband Multiuser mmWave Systems
Hybrid precoding in wideband mmWave systems is one of the main challenges at present when being extended from a narrowband beamforming model. This...
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Uniform Channel Decomposition-Based Hybrid Precoding Using Deep Learning
The massive multiple-input multiple-output (MIMO) is an emerging solution for advanced wireless communication due to the accomplishment of high data...
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Multi-user hybrid precoding for mmWave massive MIMO systems with sub-connected structure
Hybrid precoding achieves a compromise between the sum rate and hardware complexity of millimeter wave (mmWave) massive multiple-input...
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Machine learning-inspired hybrid precoding with low-resolution phase shifters for intelligent reflecting surface (IRS) massive MIMO systems with limited RF chains
The number of bits required in phase shifters (PS) in hybrid precoding (HP) has a significant impact on sum-rate, spectral efficiency (SE), and...
