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Journal articles on the topic 'MmWave massive MIMO'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Kei Sakaguchi, Takumi Yoneda, Masashi Iwabuchi, and Tomoki Murakami. "mmWave massive analog relay MIMO." ITU Journal on Future and Evolving Technologies 2, no. 6 (2021): 43–55. http://dx.doi.org/10.52953/wzof2275.

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Millimeter-Wave (mmWave) communications are a key technology to realize ultra-high data rate and ultra-low latency wireless communications. Compared with conventional communication systems in the microwave band such as 4G/LTE, mmWave communications employ a higher frequency band which allows a wider bandwidth and is suitable for large capacity communications. It is expected to be applied to various use cases such as mmWave cellular networks and vehicular networks. However, due to the strong diffraction loss and the path loss in the mmWave band, it is difficult or even impossible to achieve hig

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2

Et.al, G. Jagga Rao. "Milli meter Wave MIMO-OFDMA Scheme with MMSE-based VEMF in 6G Wireless Technology." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4701–7. http://dx.doi.org/10.17762/turcomat.v12i3.1890.

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Millimetre Wave (MmWave) massive multiple-input multiple-output (MmWave-massive-MIMO) has developed as beneficial for gigabit-per-second data broadcast into 6G digitized wireless technology. The collection of low-rate and energy-efficient (EE) types of machinery, low power consumptions, multi-bit quantized massive MIMO-Orthogonal Frequency Division Multiplexing Access (OFDMA) structure have been planned for the receiver manner. The main concentration effort is the minimization of a state-of-the-art pilot-symbol quantized (PSQ) massive MIMO-OFDMA system (m-MIMO-OFDM-S). Accordingly, in this ana

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Uthansakul, Peerapong, and Arfat Ahmad Khan. "Enhancing the Energy Efficiency of mmWave Massive MIMO by Modifying the RF Circuit Configuration." Energies 12, no. 22 (2019): 4356. http://dx.doi.org/10.3390/en12224356.

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Hybrid architectures are used in the Millimeter wave (mmWave) Massive MIMO systems, which use a smaller number of RF chains and reduces the power and energy consumption of the mmWave Massive MIMO systems. However, the majority of the hybrid architectures employs the conventional circuit configuration by connecting each of the RF chains with all the transmitting antennas at the base station. As a result, the conventional circuit configuration requires a large number of phase shifters, combiners, and low-end amplifiers. In this paper, we modify the RF circuit configuration by connecting each of

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Zhao, Renjie, Timothy Woodford, Teng Wei, Kun Qian, and Xinyu Zhang. "M-CUBE." GetMobile: Mobile Computing and Communications 25, no. 1 (2021): 30–33. http://dx.doi.org/10.1145/3471440.3471449.

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Millimeter-wave (mmWave) technologies represent a cornerstone for emerging wireless network infrastructure, and for RF sensing systems in security, health, and automotive domains. However, the lack of an experimental platform has been impeding research in this field. In this article, we propose to fill the gap with M3 (M-Cube), the first mmWave massive MIMO software radio. M3 features a fully reconfigurable array of phased arrays, with up to 8 RF chains and 256 antenna elements. Despite the orders of magnitude larger antenna arrays, its cost is orders of magnitude lower, even when compared wit

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D Mathews, Belcy, and Tamilarasi Muthu. "Adaptive Hybrid Deep Learning Based Effective Channel Estimation in MIMO-Noma for Millimeter-Wave Systems with an Enhanced Optimization Algorithm." International journal of Computer Networks & Communications 16, no. 5 (2024): 113–31. http://dx.doi.org/10.5121/ijcnc.2024.16507.

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The channel estimation is crucial in the “millimeter Wave (mmWave) Massive Multiple-Input MultipleOutput (MIMO) and Non-Orthogonal Multiple Access (NOMA)” devices. Hybrid beamforming techniques are employed nowadays to minimize the complexity and equipment price. However, the absence of digital beam forming in mmWave affects the dynamic range and accuracy of the channel estimation. Previous research has concentrated mainly on predicting narrow-band mmWave channels using deep learning networks, as the wideband channels of mmWave create a considerable range and noise issue. Accurate channel esti

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Uthansakul, Peerapong, and Arfat Ahmad Khan. "On the Energy Efficiency of Millimeter Wave Massive MIMO Based on Hybrid Architecture." Energies 12, no. 11 (2019): 2227. http://dx.doi.org/10.3390/en12112227.

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Millimeter Wave (mmWave) Massive Multiple Input Multiple Output (MIMO) has been a promising candidate for the current and next generation of cellular networks. The hybrid analogue/digital precoding will be a crucial ingredient in the mmWave cellular systems to reduce the number of Radio Frequency (RF) chains along with the corresponding energy and power consumption of the systems. In this paper, we aim to improve the energy efficiency of mmWave Massive MIMO by using a combination of high dimension analogue precoder and low dimension digital precoder. The spectral efficiency and the correspondi

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Lu, Conghui, and Peng Chen. "Robust Channel Estimation Scheme for Multi-UAV MmWave MIMO Communication with Jittering." Electronics 12, no. 9 (2023): 2102. http://dx.doi.org/10.3390/electronics12092102.

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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 objecti

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Assiimwe, Eva, and Yihenew Wondie Marye. "A Stochastic Confocal Elliptic-Cylinder Channel Model for 3D MIMO in Millimeter-Wave High-Speed Train Communication System." Electronics 11, no. 13 (2022): 1948. http://dx.doi.org/10.3390/electronics11131948.

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Massive MIMO technology is among the most promising solutions for achieving higher gain in 5G millimeter-wave (mmWave) channel models for high-speed train (HST) communication systems. Based on stochastic geometry methods, it is fundamental to accurately develop the associated MIMO channel model to access system performance. These MIMO channel models could be extended to massive MIMO with antenna arrays in more than one plane. In this paper, the proposed MIMO 3D geometry-based stochastic model (GBSM) is composed of the line of sight component (LOS), one sphere, and multiple confocal elliptic cy

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9

Tarafder, Pulok, and Wooyeol Choi. "Deep Reinforcement Learning-Based Coordinated Beamforming for mmWave Massive MIMO Vehicular Networks." Sensors 23, no. 5 (2023): 2772. http://dx.doi.org/10.3390/s23052772.

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As a critical enabler for beyond fifth-generation (B5G) technology, millimeter wave (mmWave) beamforming for mmWave has been studied for many years. Multi-input multi-output (MIMO) system, which is the baseline for beamforming operation, rely heavily on multiple antennas to stream data in mmWave wireless communication systems. High-speed mmWave applications face challenges such as blockage and latency overhead. In addition, the efficiency of the mobile systems is severely impacted by the high training overhead required to discover the best beamforming vectors in large antenna array mmWave syst

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Nariman Torkzaban, Mohammad A. (Amir) Khojastepour, Mohammad Farajzadeh-Tehrani, and John S. Baras. "RIS-aided mmWave beam-forming for two-way communications of multiple pairs." ITU Journal on Future and Evolving Technologies 4, no. 1 (2023): 87–101. http://dx.doi.org/10.52953/vbex2484.

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Millimeter-wave (mmWave) communications is a key enabler towards realizing enhanced Mobile Broadband (eMBB) as a key promise of 5G and beyond, due to the abundance of bandwidth available at mmWave bands. An mmWave coverage map consists of blind spots due to shadowing and fading especially in dense urban environments. Beam-forming employing massive MIMO is primarily used to address high attenuation in the mmWave channel. Due to their ability in manipulating the impinging electromagnetic waves in an energy-efficient fashion, Reconfigurable Intelligent Surfaces (RISs) are considered a great match

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Xiaoping, Zhou, and Liu Yang. "MANIFOLD DISCRIMINATIVE LEARNING INSPIRED HYBRID BEAMFORMING FOR MILLIMETER-WAVE MASSIVE MIMO SYSTEMS." MANIFOLD DISCRIMINATIVE LEARNING INSPIRED HYBRID BEAMFORMING FOR MILLIMETER-WAVE MASSIVE MIMO SYSTEMS 09, no. 11 (2021): 2455–68. https://doi.org/10.47191/ijmcr/v9i11.02.

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Millimeter-wave (mmWave) massive MIMO (multiple-input multiple-output) is a promising technology as it provides significant beamforming gains and interference reduction capabilities due to the large number of antennas. However, mmWave massive MIMO is computationally demanding, as the high antenna count results in high-dimensional matrix operations when conventional MIMO processing is applied. Hybrid precoding is an effective solution for the mmWave massive MIMO systems to significantly decrease the number of radio frequency (RF) chains without an apparent sum-rate loss. In this paper, we propo

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Miyuan, Zhang, and Cai Xibiao. "Channel Estimation for mmWave Massive MIMO Systems based on Deep Learning." IRO Journal on Sustainable Wireless Systems 3, no. 4 (2022): 226–41. http://dx.doi.org/10.36548/jsws.2021.4.003.

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Channel estimation is a key part of communication systems. However, the channel of millimeter-Wave (mmWave) Massive Multiple-Input Multiple-Output (Massive-MIMO) system has sparse characteristics, and the conventional channel estimation method is prone to noise factors and tends to achieve low estimation accuracy. Therefore, in this paper a channel estimation method is proposed for mmWave Massive MIMO systems based on deep learning. Firstly, a dataset to simulate a real-world environment, is generated by setting specific parameters. Furthermore, the generated channel matrix is adopted as the i

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13

Liu, Xianru, Xueming Li, Shu Cao, et al. "Hybrid Precoding for Massive mmWave MIMO Systems." IEEE Access 7 (2019): 33577–86. http://dx.doi.org/10.1109/access.2019.2903166.

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14

Ali K., Shoukath, Arfat Ahmad Khan, Perarasi T, Ateeq Ur Rehman, and Khmaies Ouahada. "Learned-SBL-GAMP based hybrid precoders/combiners in millimeter wave massive MIMO systems." PLOS ONE 18, no. 9 (2023): e0289868. http://dx.doi.org/10.1371/journal.pone.0289868.

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In Millimeter-Wave (mm-Wave) massive Multiple-Input Multiple-Output (MIMO) systems, hybrid precoders/combiners must be designed to improve antenna gain and reduce hardware complexity. Sparse Bayesian learning via Expectation Maximization (SBL-EM) algorithm is not practically feasible for high signal dimensions because estimating sparse signals and designing optimal hybrid precoders/combiners using SBL-EM still provide high computational complexity for higher signal dimensions. To overcome the issues of high computational complexity along with making it suitable for larger data sets, in this pa

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Iwabuchi, Masashi, Yoghitha Ramamoorthi, and Kei Sakaguchi. "User-Driven Relay Beamforming for mmWave Massive Analog-Relay MIMO." Sensors 23, no. 2 (2023): 1034. http://dx.doi.org/10.3390/s23021034.

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Sixth-generation mobile communication (6G) aims to further improve capacity and reliability by controlling the radio propagation environment. Millimeter wave (mmWave) high-frequency band communication offers large bandwidth at the cost of high attenuation, even for smaller distances. Due to this, fewer multiple input multiple outputs (MIMO) multiplexing is possible at the base station (BS). Distributed analog relay nodes with beamforming capability improve the received power and MIMO multiplexing of mmWave communication. Due to limited signal processing, the analog relay node cannot perform be

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16

Hoque, Md Mizanul, Md Masud Karim, Md Mustafa Kamal, Md Kayesh, and Sawkat Osman. "Performance Analysis of Different Hybrid Precoding Schemes in 5G mmWave massive MIMO Systems." International Journal of Scientific & Engineering Research 11, no. 09 (2021): 1696–700. http://dx.doi.org/10.14299/ijser.2020.09.05.

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Millimeter-wave (mmWave) communication is most likely to appear as a aspiring technology in the upcoming generation of cellular communication (5G). To confront several challenges (e.g., system complexity, energy consumption etc.), hybrid precoding is largely investigated in mmWave massive MIMO systems due to its low energy consuming nature and reduced system complexity.

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17

Huang, Xuan, Haoran Liu, Xuanhui Liu, Xiaoqi Wang, and Yifeng Zhao. "Research on Beam Allocation of Millimeter Wave Massive MIMO based on Matching Game." Journal of Physics: Conference Series 2447, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2447/1/012005.

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Abstract As one of the most promising critical technologies for realizing 5G networks, mmWave communication technology has received more and more attention and research. At the same time, due to the integration and symbiosis of mmWave communication, massive MIMO, and ultra-dense network, recent organizations have also jointly proposed the rational introduction of these three technologies in mobile communication systems to improve spectrum efficiency and energy efficiency in 5G. This paper focuses on a single-cell multi-user mmWave massive MIMO system. To optimize the total data rate, we propos

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Zhang, Wancheng, Linhao Gu, Kaien Zhang, Yan Zhang, Saier Wang, and Zijie Ji. "A Wideband Non-Stationary 3D GBSM for HAP-MIMO Communication Systems at Millimeter-Wave Bands." Electronics 13, no. 4 (2024): 678. http://dx.doi.org/10.3390/electronics13040678.

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High-altitude platforms (HAPs) are considered to be the most important equipment for next-generation wireless communication technologies. In this paper, we investigate the channel characteristics under the configurations of massive multiple-input multiple-output (MIMO) space and large bandwidth at millimeter-wave (mmWave) bands, along with the moving essence of the HAP and ground terminals. A non-stationary three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for a HAP communication system. We use a cylinder-based geometric modeling method to construct the channel and deri

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19

Chen, Na, Songlin Sun, Michel Kadoch, and Bo Rong. "SDN Controlled mmWave Massive MIMO Hybrid Precoding for 5G Heterogeneous Mobile Systems." Mobile Information Systems 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/9767065.

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In 5G mobile network, millimeter wave (mmWave) and heterogeneous networks (Hetnets) are significant techniques to sustain coverage and spectral efficiency. In this paper, we utilize the hybrid precoding to overcome hardware constraints on the analog-only beamforming in mmWave systems. Particularly, we identify the complicated antenna coordination and vast spatial domain information as the outstanding challenges in mmWave Hetnets. In our work, we employ software defined network (SDN) to accomplish radio resource management (RRM) and achieve flexible spacial coordination in mmWave Hetnets. In ou

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20

Jiang, Jing, and Deting Kong. "Joint User Scheduling and MU-MIMO Hybrid Beamforming Algorithm for mmWave FDMA Massive MIMO System." International Journal of Antennas and Propagation 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/4341068.

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The large bandwidth and multipath in millimeter wave (mmWave) cellular system assure the existence of frequency selective channels; it is necessary that mmWave system remains with frequency division multiple access (FDMA) and user scheduling. But for the hybrid beamforming system, the analog beamforming is implemented by the same phase shifts in the entire frequency band, and the wideband phase shifts may not be harmonious with all users scheduled in frequency resources. This paper proposes a joint user scheduling and multiuser hybrid beamforming algorithm for downlink massive multiple input m

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Salehi, Pouria, Naser Parhizgar, and Farshad Pesaran. "A New Cooperative and Distributed Antenna Structure in Massive MIMO-NOMA Based on mmWave Transmission Scheme." Wireless Communications and Mobile Computing 2021 (October 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/6717077.

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In this paper, we propose a new massive multiple-input multiple-output (MIMO) nonorthogonal multiple access (NOMA) system with a cooperative and distributed antenna structure based on a millimeter-wave (mmWave) transmission system. We proposed this method to obtain high energy efficiency (EE) and spectrum efficiency (SE) by using the mmWave transmission scheme. In the proposed system, the user selects a few nearby base stations (BS) to create a virtual cell to own the serving BS antenna set. We concentrate on the mmWave massive MIMO-NOMA scheme. In this scheme, a large number of BS antennas an

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Faez, Fawwaz Shareef, and Jamil Al-Kind Manal. "Wideband hybrid precoder for mmWave multiuser MIMO-OFDM communications." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1409~1417. https://doi.org/10.11591/eei.v11i3.3551.

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Using millimeter wave (mmWave) transmission for massive multiple input multiple output (MIMO) system can improve system performance and effectively reduce the size of the massive antennas array. However, A wideband beamformer design is needed to take advantage of this wideband channel. In this paper, a downlink multi-user massive MIMO orthogonal frequency division multiplexing (MIMO OFDM) system for mmWave communications is proposed. Each subcarrier channel can be approximated as a narrowband clustered channel, so a narrowband precoder can be applied for each subchannel. The hybrid precoder is

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23

Lu, Zhouzheng, Yufan Guo, Wenxuan Yang, Yang Liu, Qitong Luan, and Yuanzong Mei. "Hybrid beamforming in Multiuser mmWave Massive MIMO System." Journal of Physics: Conference Series 1738 (January 2021): 012001. http://dx.doi.org/10.1088/1742-6596/1738/1/012001.

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Chen, Shanzhi, Qiubin Gao, Runhua Chen, Hui Li, Shaohui Sun, and Zhengxuan Liu. "A CSI acquisition approach for mmWave massive MIMO." China Communications 16, no. 9 (2019): 1–14. http://dx.doi.org/10.23919/jcc.2019.09.001.

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25

Ribeiro, Lucas N., Stefan Schwarz, and Andre L. F. De Almeida. "Double-Sided Massive MIMO Transceivers for mmWave Communications." IEEE Access 7 (2019): 157667–79. http://dx.doi.org/10.1109/access.2019.2949945.

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Sireesha, Polireddi. "Channel Estimation for Massive MIMO Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 137–38. http://dx.doi.org/10.22214/ijraset.2022.39775.

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Abstract: In MIMO millimeter-wave (mmWave) systems, while the hybrid digital/analog precoding structure provides the ability to increase the reach rate, it also faces the challenge of reducing the channel time limit due to the large number of horns on both sides of the Tx / Rx. . In this paper, channel measurement is done by searching with multiple beams, and a new hierarchical multi-beam search system is proposed, using a pre-designed analog codebook. Performance tests show that, compared to a highperformance system, the proposed system not only achieves a high level of success in getting mul

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Xia, Xiaoxuan, Wence Zhang, Yinkai Fu, Xu Bao, and Jing Xia. "Low Complexity Angular-Domain Detection for the Uplink of Multi-User mmWave Massive MIMO Systems." Electronics 9, no. 5 (2020): 795. http://dx.doi.org/10.3390/electronics9050795.

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To compromise between the system performance and hardware cost, millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems have been regarded as an enabling technology for the fifth generation of mobile communication systems (5G). This paper considers a low-complexity angular-domain compressing based detection (ACD) for uplink multi-user mmWave massive MIMO systems, which involves hybrid analog and digital processing. In analog processing, we perform angular-domain compression on the received signal by exploiting the sparsity of the mmWave channel to reduce the dimension of

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Abdul, Haq Nalband, Sarvagya Mrinal, and Riyaz Ahmed Mohammed. "Power saving and optimal hybrid precoding in millimeter wave massive MIMO systems for 5G." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 6 (2020): 2842~2851. https://doi.org/10.12928/TELKOMNIKA.v18i6.15952.

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The proliferation of wireless services emerging from use cases of fifth-generation (5G) technology is posing many challenges on cellular communication infrastructure. They demand to connect a massive number of devices with enhanced data rates. The massive multiple-input multiple-output (MIMO) technology at millimeter-wave (mmWave) in combination with hybrid precoding emerges as a concrete tool to address the requirements of 5G network developments. But Massive MIMO systems consume significant power for network operations. Hence the prior role is to improve the energy efficiency by reducing the

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Shareef, Faez Fawwaz, and Manal Jamil Al-Kindi. "Wideband hybrid precoder for mmWave multiuser MIMO OFDM communications." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1409–17. http://dx.doi.org/10.11591/eei.v11i3.3551.

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Using millimeter wave (mmWave) transmission for massive multiple input multiple output (MIMO) system can improve system performance and effectively reduce the size of the massive antennas array. However, A wideband beamformer design is needed to take advantage of this wideband channel. In this paper, a downlink multi-user massive MIMO orthogonal frequency division multiplexing (MIMO OFDM) system for mmWave communications is proposed. Each subcarrier channel can be approximated as a narrowband clustered channel, so a narrowband precoder can be applied for each subchannel. The hybrid precoder is

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Khan, Imran, Shagufta Henna, Nasreen Anjum, et al. "An Efficient Precoding Algorithm for mmWave Massive MIMO Systems." Symmetry 11, no. 9 (2019): 1099. http://dx.doi.org/10.3390/sym11091099.

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Symmetrical precoding and algorithms play a vital role in the field of wireless communications and cellular networks. This paper proposed a low-complexity hybrid precoding algorithm for mmWave massive multiple-input multiple-output (MIMO) systems. The traditional orthogonal matching pursuit (OMP) has a large complexity, as it requires matrix inversion and known candidate matrices. Therefore, we propose a bird swarm algorithm (BSA) based matrix-inversion bypass (MIB) OMP (BSAMIBOMP) algorithm which has the feature to quickly search the BSA global optimum value. It only directly finds the array

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Kareem, Thaar A., Maab Alaa Hussain, and Mays Kareem Jabbar. "Particle Swarm Optimization Based Beamforming in Massive MIMO Systems." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 05 (2020): 176. http://dx.doi.org/10.3991/ijim.v14i05.13701.

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<p>This research puts forth an optimization- based analog beamforming scheme for millimeter-wave (mmWave) massive MIMO systems. Main aim is to optimize the combination of analog precoder / combiner matrices for the purpose of getting near-optimal performance. Codebook-based analog beamforming with transmit precoding and receive combining serves the purpose of compensating the severe attenuation of mmWave signals. The existing and traditional beamforming schemes involve a complex search for the best pair of analog precoder / combiner matrices from predefined codebooks. In this research, w

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Zhu, Zaoxing, Honggui Deng, Fuxin Xu, Wenjuan Zhang, Gang Liu, and Yinhao Zhang. "Hybrid Precoding-Based Millimeter Wave Massive MIMO-NOMA Systems." Symmetry 14, no. 2 (2022): 412. http://dx.doi.org/10.3390/sym14020412.

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A symmetry-based hybrid precoder and combiner is a high spectral efficiency structure in millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) non-orthogonal multiple access (NOMA) system. To improve the spectral efficiency of the mmWave mMIMO-NOMA system, we first propose a user grouping scheme to suppress the strong inter-user interference caused by NOMA, then the hybrid precoder based on user channel alignment and the zero-forcing algorithm is constructed to further improve the signal-to-interference-plus-noise ratio (SINR) of the receiver. Subsequently, the non-convex spe

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Du, Jianhe, Jiaqi Li, Jing He, Yalin Guan, and Heyun Lin. "Low-Complexity Joint Channel Estimation for Multi-User mmWave Massive MIMO Systems." Electronics 9, no. 2 (2020): 301. http://dx.doi.org/10.3390/electronics9020301.

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For multi-user millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, the precise acquisition of channel state information (CSI) is a huge challenge. With the increase of the number of antennas at the base station (BS), the traditional channel estimation techniques encounter the problems of pilot training overhead and computational complexity increasing dramatically. In this paper, we develop a step-length optimization-based joint iterative scheme for multi-user mmWave massive MIMO systems to improve channel estimation performance. The proposed estimation algorithm pro

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Gu, Xiaoxiao, Jinyan Qi, Wence Zhang, Xianglan Dong, Xu Bao, and Jing Xia. "Optimal Design of Interleaved Subconnected Hybrid Structure for mmWave Massive MIMO Systems." Wireless Communications and Mobile Computing 2022 (September 13, 2022): 1–11. http://dx.doi.org/10.1155/2022/5932553.

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Massive multiple-input multiple-output (MIMO) systems based on millimeter-wave (mmWave) technology commonly utilize a combination of hybrid analog and digital signal processing to reduce the number of radiofrequency (RF) chains, cutting down the hardware costs and power consumption. The subconnected structure is one of the architectures that realize hybrid analog and digital processing, in which each RF chain is connected to a subset of antennas through phase shifters so as to reduce the implementation complexity. In this paper, we investigate the best subconnected structure design for mmWave

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Ramírez-Arroyo, Alejandro, Juan Carlos González-Macías, Jose J. Rico-Palomo, Javier Carmona-Murillo, and Antonio Martínez-González. "On the Spectral Efficiency for Distributed Massive MIMO Systems." Applied Sciences 11, no. 22 (2021): 10926. http://dx.doi.org/10.3390/app112210926.

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Distributed MIMO (D-MIMO) systems are expected to play a key role in deployments for future mobile communications. Together with massive MIMO technology, D-MIMO aims to maximize the spectral efficiency and data rate in mobile networks. This paper proposes a deep study on the spectral efficiency of D-MIMO systems for essential channel parameters, such as the channel power balance or the correlation between propagation channels. For that purpose, several propagation channels were acquired in both anechoic and reverberation chambers and were emulated using channel simulators. In addition, several

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Jung, Ji-Sung, Won-Seok Lee, Yeong-Rong Lee, Jaeho Kim, and Hyoung-Kyu Song. "Improved Hybrid Beamforming for mmWave Multi-User Massive MIMO." Computers, Materials & Continua 67, no. 3 (2021): 3057–70. http://dx.doi.org/10.32604/cmc.2021.015673.

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Liu, Wendong, and Zhaocheng Wang. "Statistics-Assisted Beam Training for MmWave Massive MIMO Systems." IEEE Communications Letters 23, no. 8 (2019): 1401–4. http://dx.doi.org/10.1109/lcomm.2019.2922632.

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Nielsen, Jesper Odum, Wei Fan, Patrick C. F. Eggers, and Gert Frolund Pedersen. "A Channel Sounder for Massive MIMO and MmWave Channels." IEEE Communications Magazine 56, no. 12 (2018): 67–73. http://dx.doi.org/10.1109/mcom.2018.1800199.

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Zhang, Di, Zhenyu Zhou, Chen Xu, Yan Zhang, Jonathan Rodriguez, and Takuro Sato. "Capacity Analysis of NOMA With mmWave Massive MIMO Systems." IEEE Journal on Selected Areas in Communications 35, no. 7 (2017): 1606–18. http://dx.doi.org/10.1109/jsac.2017.2699059.

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Shahjehan, Waleed, Asad Riaz, Imran Khan, Ali Safaa Sadiq, Suleman Khan, and Muhammad Khurram Khan. "Bat algorithm-based beamforming for mmWave massive MIMO systems." International Journal of Communication Systems 33, no. 2 (2019): e4182. http://dx.doi.org/10.1002/dac.4182.

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Gerald Chukwudi Eze and Mamilus Aginwa Ahaneku. "Sub-System Architecture for millimeter-wave massive MIMO systems." World Journal of Advanced Research and Reviews 22, no. 2 (2024): 306–25. http://dx.doi.org/10.30574/wjarr.2024.22.2.1352.

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In this paper, we study the hybrid beamforming design for millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) systems. The designing of hybrid beamforming for orthogonal frequency-division multiplexing (OFDM) systems is tasking since its analog beamforming is shared among all subcarriers. We adopt a two-step technique for designing the analog and digital beamforming separately in order to maximize the average achievable energy and spectral efficiency of frequency-selective mmWave mMIMO-OFDM systems. Firstly, the analog beamforming design is based on the viewpoint of sub-sys

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Gerald, Chukwudi Eze, and Aginwa Ahaneku Mamilus. "Sub-System Architecture for millimeter-wave massive MIMO systems." World Journal of Advanced Research and Reviews 22, no. 2 (2024): 306–25. https://doi.org/10.5281/zenodo.14554199.

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In this paper, we study the hybrid beamforming design for millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) systems. The designing of hybrid beamforming for orthogonal frequency-division multiplexing (OFDM) systems is tasking since its analog beamforming is shared among all subcarriers. We adopt a two-step technique for designing the analog and digital beamforming separately in order to maximize the average achievable energy and spectral efficiency of frequency-selective mmWave mMIMO-OFDM systems. Firstly, the analog beamforming design is based on the viewpoint of sub-sys

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Chang, Rui, Chaowei Yuan, and Jianhe Du. "PARAFAC-Based Multiuser Channel Parameter Estimation for MmWave Massive MIMO Systems over Frequency Selective Fading Channels." Electronics 10, no. 23 (2021): 2983. http://dx.doi.org/10.3390/electronics10232983.

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Channel estimation is crucial in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, especially with a few training sequences. To solve the problem of uplink channel estimation in mmWave massive MIMO systems, a PARAFAC-based algorithm is proposed for joint estimation of multiuser channels. The orthogonal frequency divisional multiplexing (OFDM) technique is exploited to combat the frequency selective fading channels. In this paper, the received signal at the base station (BS) is formulated as a third-order parallel factor (PARAFAC) tensor, and then a low-complexity

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Dilli, Ravilla. "Performance analysis of multi user massive MIMO hybrid beamforming systems at millimeter wave frequency bands." Wireless Networks 27, no. 3 (2021): 1925–39. http://dx.doi.org/10.1007/s11276-021-02546-w.

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AbstractMillimeter-wave (mmWave) and massive multi-input–multi-output (mMIMO) communications are the most key enabling technologies for next generation wireless networks to have large available spectrum and throughput. mMIMO is a promising technique for increasing the spectral efficiency of wireless networks, by deploying large antenna arrays at the base station (BS) and perform coherent transceiver processing. Implementation of mMIMO systems at mmWave frequencies resolve the issue of high path-loss by providing higher antenna gains. The motivation for this research work is that mmWave and mMI

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Nie, Yang. "Wideband Beamspace Massive MIMO Channel Estimation." Journal of Computing and Electronic Information Management 17, no. 2 (2025): 64–69. https://doi.org/10.54097/p90khg63.

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Millimeter-wave (mmWave) Massive multiple-input multiple-output (Massive MIMO) communication can provide high-speed network services for emerging application scenarios due to the abundant spectrum resources in the high-frequency band, which has emerged as a key technology for future wireless networks. Beamspace Massive MIMO systems equipped with lensed antenna arrays (LAA) have attracted considerable attention from industry and academic since it is an effective solution with low power and low cost. However, the beam squint effect causes beamspace channel estimation to be significantly complica

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Li, Shuangde, Yuanjian Liu, Leke Lin, and Qi Sun. "Measurements and Characterization for Millimeter-Wave Massive MIMO Channel in High-Speed Railway Station Environment at 28 GHz." International Journal of Antennas and Propagation 2021 (October 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/4580506.

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The millimeter-wave (mmWave) and massive multiple-input multiple-output (MIMO) wireless communication technologies provide vital means to resolve many technical challenges of the fifth-generation (5G) or beyond 5G (B5G) network. Analyzing the measured datasets extracted from the channel measurements can provide insight into the characteristics of radio channels in different scenarios. Therefore, mmWave massive MIMO channel measurements, simulation, and modeling are carried out in the high-speed railway waiting hall environments at 28 GHz. The multipath components (MPCs) parameters are estimate

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Lacruz, Jesus O., and Rafael Ruiz. "MIMORPH." GetMobile: Mobile Computing and Communications 26, no. 1 (2022): 5–8. http://dx.doi.org/10.1145/3539668.3539670.

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With the rapid increase in performance and complexity of wireless networks, it has become challenging to build experimentation platforms that can meet such performance requirements but at the same time are comparatively easy to use and flexible. The lack of suitable platforms inspired us to build MIMORPH, a single experimentation platform that supports massive MIMO sub-6 GHz systems, ultra-high bandwidth Millimeter Wave (mmWave) MIMO, as well as mixed sub-6 GHz and mmWave configurations. It can be operated in a closed-loop manner and is intended for WLAN, 5G-NR and future 6G research. MIMORPH

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Lacruz, Jesus Omar, Rafael Ruiz, and Joerg Widmer. "MIMORPH: A General-Purpose Experimentation Platform for sub-6 GHz and mmWave Frequency Bands." GetMobile: Mobile Computing and Communications 26, no. 1 (2022): 5–8. https://doi.org/10.1145/3539668.3539670.

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With the rapid increase in performance and complexity of wireless networks, it has become challenging to build experimentation platforms that can meet such performance requirements but at the same time are comparatively easy to use and flexible. The lack of suitable platforms inspired us to build MIMORPH, a single experimentation platform that supports massive MIMO sub-6 GHz systems, ultra-high bandwidth Millimeter Wave (mmWave) MIMO, as well as mixed sub-6 GHz and mmWave configurations. It can be operated in a closed-loop manner and is intended for WLAN, 5G-NR and future 6G research. MIMORPH

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Mohammed, Saleem Latteef, Mohammed H. Alsharif, Sadik Kamel Gharghan, Imran Khan, and Mahmoud Albreem. "Robust Hybrid Beamforming Scheme for Millimeter-Wave Massive-MIMO 5G Wireless Networks." Symmetry 11, no. 11 (2019): 1424. http://dx.doi.org/10.3390/sym11111424.

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Wireless networks employing millimeter-wave (mmWave) and Massive Multiple-Input Multiple-Output (MIMO) technologies are a key approach to boost network capacity, coverage, and quality of service (QoS) for future communications. They deploy symmetric antennas on a large scale in order to enhance the system throughput and data rate. However, increasing the number of antennas and Radio Frequency (RF) chains results in high computational complexity and more energy requirements. Therefore, to solve these problems, this paper proposes a low-complexity hybrid beamforming scheme for mmWave Massive-MIM

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Hong, Son Vu, Trung Truong Kien, and Thuy Le Minh. "Beam division multiple access for millimeter wave massive MIMO: Hybrid zero-forcing beamforming with user selection." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 1 (2022): 445–52. https://doi.org/10.11591/ijece.v12i1.pp445-452.

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Massive multiple-input multiple-output (MIMO) systems are considered a promising solution to minimize multiuser interference (MUI) based on simple precoding techniques with a massive antenna array at a base station (BS). This paper presents a novel approach of beam division multiple access (BDMA) which BS transmit signals to multiusers at the same time via different beams based on hybrid beamforming and user-beam schedule. With the selection of users whose steering vectors are orthogonal to each other, interference between users is significantly improved. While, the efficiency spectrum of prop

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