Relevant bibliographies by topics / MmWave massive MIMO

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'MmWave massive MIMO'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "MmWave massive MIMO"

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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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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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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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Dissertations / Theses on the topic "MmWave massive MIMO"

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Ktari, Mohamed Aymen. "Machine Learning for beam Alignment in mmWave massive MIMO." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT047.

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La demande croissante en efficacité spectrale, stimulée par les exigences strictes des réseaux 5G, a accéléré le développement de la technologie MIMO en ondes millimétriques, offrant des améliorations architecturales significatives grâce à des techniques de précodage avancées. Cette technologie présente des gains substantiels en termes d'efficacité spectrale et énergétique par rapport aux systèmes MIMO traditionnels. Cependant, le potentiel transformateur du MIMO en mmWave est entravé par les réalités complexes des environnements urbains réels et les propriétés physiques complexes inhérentes a
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Biswas, Sudip. "Future cellular systems : fundamentals and the role of large antenna arrays." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/23470.

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In this thesis, we analyze the performance of three promising technologies being considered for future fifth generation (5G) and beyond wireless communication systems, with primary goals to: i) render 10-100 times higher user data rate, ii) serve 10-100 times more users simultaneously, iii) 1000 times more data volume per unit area, iv) improve energy efficiency on the order of 100 times, and iv) provide higher bandwidths. Accordingly, we focus on massive multiple-input multiple-output (MIMO) systems and other future wireless technologies, namely millimeter wave (mmWave) and full-duplex (FD) s
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Azevedo, Daniel Filipe Pinheiro de. "Performance comparison of hybrid architectures for millimeter wave communicatins." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/16945.

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Mestrado em Engenharia Electrónica e Telecomunicações<br>A proliferação massiva das comunicações sem os faz prever que o número de utilizadores aumente exponencialmente até 2020, o que tornar a necessário um suporte de tráfego milhares de vezes superior e com ligações na ordem dos Gigabit por segundo. Este incremento exigir a um aumento significativo da e ciência espectral e energética. Impõe-se portanto, uma mudança de paradigma dos sistemas de comunicação sem os convencionais, imposta pela introdução da 5a geração. Para o efeito, e necessário desenvolver novas e promissoras técnicas de trans
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Maschietti, Flavio. "Decentralized coordination methods for beam alignment and resource allocation in 5G wireless networks." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS578.

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Dans le contexte des réseaux mobiles 5G et 5G+, la transmission massive multi-antennes (Massive MIMO) est une technique établie pour gérer les interférences multi-utilisateurs et améliorer la performance du réseau grâce à la formation de faisceaux et au gain de multiplexage. Dans le régime Massive MIMO, les principales formes de coopération distribuée qui peuvent être envisagées sont i) la sélection et l’alignement des faisceaux entre plusieurs utilisateurs mobiles – en particulier, aux fréquences millimetriques – et ii) la coopération entre les stations de base pour le scheduling des utilisat
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DI, STASIO FRANCESCO. "Link optimization considerations for 5G and beyond wireless communications." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2950490.

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Vu, K. (Kien). "Integrated access-backhaul for 5G wireless networks." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222431.

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Abstract With the unprecedented growth in mobile data traffic and network densification, the emerging fifth-generation (5G) wireless network warrants a paradigm shift with respect to system design and technological enablers. In this regard, the prime motivation of this thesis is to propose an integrated access-backhaul (IAB) framework to dynamically schedule users, while efficiently providing a wireless backhaul to dense small cells and mitigating interference. In addition, joint resource allocation and interference mitigation solutions are proposed for two-hop and multi-hop self-backhauled mi
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Di, Iorio Domenico. "Sistemi radiomobili di quinta generazione." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/9752/.

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La tesi tratta le tecnologie radiomobili di quinta generazione. Analizza i principali problemi, e le più importanti proposte risolutive. Elenca le più importanti idee per ottenere i requisiti richiesti nella quinta generazione di sistemi radiomobili, tra cui il x1000 nella capacità del canale, la latenza < 1ms ecc.. Affronta il dettaglio delle tecnologie proposte da HUAWEI, F-OFDM e SCMA, illustrandone i vantaggi. Si conclude con una parte di simulazioni numeriche Matlab a proposito dell'SCMA.
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Barb, Gordana-Raluca. "Linear equalization techniques for hybrid systems in the millimeter wave band of communications." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/23470.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Wireless communications are continuously evolving, and the demand for higher data rates, more capacity, a better quality of service and more coverage is rising. The next generation, 5G, is currently being developed and it is expected to be delivered by 2020. However, in order to fulfill the 5G requirements, such as a consistent user experience, peak bit rates of 10 to 50 Gbps, higher reliability and availability, changes in the cellular architecture are needed, using new technology. Millimeter waves are a promising carrier frequency for 5G
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LIN, WEI-CHENG, and 林偉正. "Hybrid Precoding MmWave Massive MIMO with Dynamic-Resolution DAC." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3a92az.

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碩士<br>國立中正大學<br>通訊工程研究所<br>106<br>A hybrid precoding transmitter with low-resolution digital-to-analog converters (DACs) is a promising low-power approach for millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In this paper, we concentrate on the dynamic-resolution DAC algorithms for mmWave massive MIMO systems with hybrid analog/digital precoding design. At mmWave frequencies, due to the small wavelength of mmWave signals, the large antenna arrays could be deployed. This allows signal transmission with ultra high data rates thanks to large bandwidths available at
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LIAO, WEN-SHUO, and 廖文碩. "Mixed-ADC Adaptation Mechanism for Massive MIMO MmWave Systems." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/kw58a9.

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碩士<br>國立中正大學<br>通訊工程研究所<br>107<br>Massive multiple-input multiple-output (MIMO) systems operating on millimeter-wave (mmWave) bands provide a broad spectrum to overcome the congestion issue of sub-6GHz spectrum. The analog-to-digital converters (ADCs) and phase shifters are the primary power consumption components in massive MIMO uplink networks. To mitigate the power consumption, the dynamic antenna-group configuration with variable-resolution ADCs is considered in this paper. In this work, the optimal antenna number and an adaptive ADC resolution algorithm have been configured to maximize th
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Books on the topic "MmWave massive MIMO"

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Cheng, Xiang, Shijian Gao, and Liuqing Yang. mmWave Massive MIMO Vehicular Communications. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-97508-1.

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mmWave Massive MIMO. Elsevier, 2017. http://dx.doi.org/10.1016/c2015-0-01250-3.

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MmWave Massive MIMO Vehicular Communications. Springer International Publishing AG, 2023.

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MmWave Massive MIMO Vehicular Communications. Springer International Publishing AG, 2022.

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Rodriguez, Jonathan, Shahid Mumtaz, and Linglong Dai. MmWave Massive MIMO: A Paradigm For 5G. Elsevier Science & Technology Books, 2016.

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Rodriguez, Jonathan, Shahid Mumtaz, and Linglong Dai. MmWave Massive MIMO: A Paradigm For 5G. Elsevier Science & Technology Books, 2016.

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Book chapters on the topic "MmWave massive MIMO"

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Gao, Zhen, Ziwei Wan, Yikun Mei, Keke Ying, and Kuiyu Wang. "Hybrid Beamforming Design for MmWave Massive MIMO Systems." In Millimeter-Wave/Sub-Terahertz Ultra-Massive MIMO Transmission Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2388-5_4.

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Xiao, Zhuolei, Yunyi Li, and Guan Gui. "Channel Estimation for mmWave Massive MIMO via Phase Retrieval." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19086-6_39.

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Xu, Jinpeng, Lin Bai, Lin Zhou, Dong Liu, Jingjing Wang, and Yuanming Shi. "Covert Downlink mmWave Communication for Massive MIMO LEO Satellite." In Proceedings of 2022 10th China Conference on Command and Control. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6052-9_59.

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Shili, Maroua, Moufida Hajjaj, and Mohamed Lassaad Ammari. "Weighted-Gain Beam Selection for Beamspace mmWave Massive MIMO Systems." In Advanced Information Networking and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44041-1_82.

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Song, Yiwei, Weijia Liu, and Guan Gui. "An Efficient Hybrid Precoding Scheme for mmWave Massive MIMO Systems." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6264-4_96.

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Habiba, Ummy, Hina Tabassum, and Ekram Hossain. "Backhauling 5G Small Cells with Massive-MIMO-Enabled mmWave Communication." In Backhauling/Fronthauling for Future Wireless Systems. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119170402.ch3.

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Gao, Zhen, Ziwei Wan, Yikun Mei, Keke Ying, and Kuiyu Wang. "Closed-Loop Sparse Channel Estimation for MmWave Full-Dimensional MIMO Systems." In Millimeter-Wave/Sub-Terahertz Ultra-Massive MIMO Transmission Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2388-5_2.

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Gao, Zhen, Ziwei Wan, Yikun Mei, Keke Ying, and Kuiyu Wang. "Compressive Sensing Based Channel Estimation for MmWave Full-Dimensional Lens Antenna Array." In Millimeter-Wave/Sub-Terahertz Ultra-Massive MIMO Transmission Technology. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2388-5_3.

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Udataneni, Divya, and Vijayalakshmi Maddala. "Channel Estimation of mmWave Massive MIMO Systems Using Large Intelligent Surfaces." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35644-5_19.

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Baranidharan, V., K. P. Nithish Sriman, V. Sudhan Siddarth, P. Sudharsan, M. Krishnan, and A. B. Tharikaa Srinithi. "Hybrid Precoding Schemes for mmWave Massive MIMO Systems—A Comprehensive Survey." In Proceedings of Third International Conference on Sustainable Expert Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7874-6_7.

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Conference papers on the topic "MmWave massive MIMO"

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Fan, Dian, Yue Zhu, Yunping Mu, and Gongpu Wang. "Channel Estimation for UAV-Enabled mmWave Massive MIMO Communications." In 2024 4th International Conference on Intelligent Communications and Computing (ICICC). IEEE, 2024. https://doi.org/10.1109/icicc63565.2024.10780529.

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Han, Jiyoon, Canan Cebeci, Wei Tang, Zhengya Zhang, and Upamanyu Madhow. "Tiled Beamspace Processing for Scaling mmWave Massive MU-MIMO." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757813.

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Ju, Hyungyu, Seokhyun Jeong, Byungju Lee, and Byonghyo Shim. "Transformer-based Predictive Channel Estimation for mmWave Massive MIMO Systems." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10758002.

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Zhang, Xuzhong, Lin Xiang, Jiaheng Wang, Pengcheng Zhu, Derrick Wing Kwan Ng, and Xiqi Gao. "Hybrid Precoding Optimization for mmWave Massive MIMO with Finite Blocklength." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978558.

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Nguyen, Nhan Thanh, Ly V. Nguyen, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, and Markku Juntti. "Deep Unfolding-Empowered mmWave Massive MIMO Joint Communications and Sensing." In 2025 IEEE 5th International Symposium on Joint Communications & Sensing (JC&S). IEEE, 2025. https://doi.org/10.1109/jcs64661.2025.10880627.

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Li, Tao, Yanxiang Jiang, Yige Huang, Pengcheng Zhu, Fu-Chun Zheng, and Dongming Wang. "Model-Based Deep Learning for Massive Access in mmWave Cell-Free Massive MIMO System." In 2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024. http://dx.doi.org/10.1109/iccworkshops59551.2024.10615768.

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Vook, Frederick W., Timothy A. Thomas, and Eugene Visotsky. "Massive MIMO for mmWave systems." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094564.

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A.M. Albreem, Mahmoud, Ayman A. El-Saleh, Wael A. Salah, M. Jusoh, and M. Azizan. "Encoding and Decoding for mmWave Massive MIMO Systems." In 2019 6th International Conference on Electrical and Electronics Engineering (ICEEE). IEEE, 2019. http://dx.doi.org/10.1109/iceee2019.2019.00039.

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Abdelghany, Mohammed, Upamanyu Madhow, and Antti Tolli. "Efficient Beamspace Downlink Precoding for mmWave Massive MIMO." In 2019 53rd Asilomar Conference on Signals, Systems, and Computers. IEEE, 2019. http://dx.doi.org/10.1109/ieeeconf44664.2019.9048656.

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Liao, Anwen, and Zhen Gao. "Super-Resolution Channel Estimation for mmWave Massive MIMO." In 2018 IEEE International Conference on Communications (ICC 2018). IEEE, 2018. http://dx.doi.org/10.1109/icc.2018.8422352.

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