Relevant bibliographies by topics / Massives MIMO

Contents

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

Academic literature on the topic 'Massives MIMO'

Author: Grafiati
Published: 23 September 2022
Last updated: 31 July 2025

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Journal articles on the topic "Massives MIMO"

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Sharma, Manmohan, Sunny Verma, and Shekhar Verma. "Optimization of Cell-Free Massive MIMO System." Journal of Physics: Conference Series 2327, no. 1 (2022): 012056. http://dx.doi.org/10.1088/1742-6596/2327/1/012056.

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Abstract As an innovative implementation, Cell-Free Massive Multiple Input Multiple Output (MIMO) has appeared in typical Cellular Massive MIMO Networks. This protocol doesn’t recognize cells, as shown by its name, even though a significant number of APs operate on the same frequency/time resources. Connection from multiple distributed access points through joint signal processing is called Cell-Free Massive MIMO. The Cell-Free Massive MIMO System, a contrast between Cell-Free Massive MIMO Systems and Distributed Massive MIMO, the prime focus in this thesis is on Cell-free Massive MIMO and, al
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Stepanets, I., and G. Fokin. "FEATURES OF MASSIVE MIMO IN 5G NETWORKS." LastMile, no. 1 (2018): 46–52. http://dx.doi.org/10.22184/2070-8963.2018.70.1.46.52.

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Jang, Jeong-Uk, Jin-Hyuk Kim, and Cheol Mun. "Analysis of Massive MIMO Wireless Channel Characteristics." Journal of Korea Information and Communications Society 38B, no. 3 (2013): 216–21. http://dx.doi.org/10.7840/kics.2013.38b.3.216.

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Kim, Yongok, and Sooyong Choi. "Performance Analysis of Massive MIMO Systems According to DoF." Journal of Korean Institute of Communications and Information Sciences 40, no. 11 (2015): 2145–47. http://dx.doi.org/10.7840/kics.2015.40.11.2145.

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Jang, Seokju, Han-Bae Kong, and Inkyu Lee. "Pilot Assignment Algorithm for Uplink Massive MIMO Systems." Journal of Korean Institute of Communications and Information Sciences 40, no. 8 (2015): 1485–91. http://dx.doi.org/10.7840/kics.2015.40.8.1485.

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Iliadis, Lazaros Alexios, Zaharias Zaharis, Sotirios Sotiroudis, Panagiotis Sarigiannidis, George K. Karagiannidis, and Sotirios Goudos. "The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems." EURASIP Journal on Wireless Communications and Networking 2022, no. 68 (2022): 1–16. https://doi.org/10.1186/s13638-022-02153-z.

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The fifth generation (5G) of telecommunications networks is currently commercially deployed. One of their core enabling technologies is cellular Massive Multiple-Input-Multiple-Output (M-MIMO) systems. However, future wireless networks are expected to serve a very large number of devices and the current MIMO networks are not scalable, highlighting the need for novel solutions. At this moment, Cell-free Massive MIMO (CF M-MIMO) technology seems to be the most promising idea in this direction. Despite their appealing characteristics, CF M-MIMO systems face their own challenges, such as power all
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Zeydan, Engin, Omer Dedeoglu, and Yekta Turk. "Performance Comparisons of FDD MIMO and 2.6 GHz TDD Massive MIMO: An Experimental Analysis." Physical Communication 46 (June 1, 2021): 101341. https://doi.org/10.1016/j.phycom.2021.101341.

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Massive multiple-input multiple-output (MIMO) is considered as a breakthrough technology in 5G and beyond 5G systems. Some of its main advantages are providing high spectral efficiency to many users simultaneously in the same timefrequency blocks, strong directive signals towards short-range areas and little interference leaks. However, while massive MIMO exhibits interesting benefits, it is important to investigate its main gains through real deployment scenarios in an operator’s infrastructure. In this paper, we focus on performance comparisons of traditional frequency-division duplex
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Chataut, Robin, and Robert Akl. "Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction." Sensors 20, no. 10 (2020): 2753. http://dx.doi.org/10.3390/s20102753.

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The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of the massive MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of 5G—and beyond—networ
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Ohgane, Takeo, Toshihiko Nishimura, and Yasutaka Ogawa. "4. Massive MIMO." Journal of the Institute of Image Information and Television Engineers 70, no. 1 (2016): 17–22. http://dx.doi.org/10.3169/itej.70.17.

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Kim, Dowu, Seokjae Moon, and Jang-Won Lee. "Semi-Orthogonal Random Access for mMTC in Massive MIMO Systems." Journal of Korean Institute of Communications and Information Sciences 46, no. 7 (2021): 1164–72. http://dx.doi.org/10.7840/kics.2021.46.7.1164.

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Dissertations / Theses on the topic "Massives MIMO"

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Ladaycia, Abdelhamid. "Annulation d’interférences dans les systèmes MIMO et MIMO massifs (Massive MIMO)." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCD037.

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Les systèmes de communications MIMO utilisent des réseaux de capteurs qui peuvent s’étendre à de grandes dimensions (MIMO massifs) et qui sont pressentis comme solution potentielle pour les futurs standards de communications à très hauts débits. Un des problème majeur de ces systèmes est le fort niveau d’interférences dû au grand nombre d’émetteurs simultanés. Dans un tel contexte, les solutions ’classiques’ de conception de pilotes ’orthogonaux’ sont extrêmement coûteuses en débit utile permettant ainsi aux solutions d’identification de canal dites ’aveugles’ou ’semi-aveugles’ de revenir au-d
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Karlsson, Marcus. "Aspects of Massive MIMO." Licentiate thesis, Linköpings universitet, Kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132718.

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Next generation cellular wireless technology faces tough demands: increasing the throughput and reliability without consuming more resources, be it spectrum or energy. Massive mimo (Multiple-Input Multiple-Output) has proven, both in theory and practice, that it is up for the challenge. Massive mimo can offer uniformly good service to many users using low-end hardware, simultaneously, without increasing the radiated power compared to contemporary system. In Massive mimo, the base stations are equipped with hundreds of antennas. This abundance of antennas brings many new, interesting aspects co
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Becirovic, Ema. "On Massive MIMO for Massive Machine-Type Communications." Licentiate thesis, Linköpings universitet, Kommunikationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-162586.

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To cover all the needs and requirements of mobile networks in the future, the predicted usage of the mobile networks has been split into three use-cases: enhanced mobile broadband, ultra-reliable low-latency communication, and massive machine-type communication. In this thesis we focus on the massive machine-type communication use-case which is intended to facilitate the ever increasing number of smart devices and sensors. In the massive machine-type communication use-case, the main challenges are to accommodate a huge number of devices while keeping the battery lives of the devices long, and
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Wannas, Hussain. "Full Duplex Multiuser MIMO with Massive Arrays." Thesis, Linköpings universitet, Institutionen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-105268.

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Half-Duplex Multiuser Multiple-Input Multiple-Output (HD MU-MIMO) systemscurrently employed in communication systems are not experiencing the selfinterference(SI) problem but they are not optimal in terms of efficiency and interms of resources used (time and frequency resources). Ignoring the effect of largescalefading, we start by explaining the uplink (UL) and downlink (DL) parts ofthe MU-MIMO system and how the sum-rate is calculated. We also introduce thethree linear receivers/precoders, Maximum-Ratio Combining (MRC)/Maximum-Ratio Transmission (MRT), Zero-Forcing (ZF), and Minimum Mean-Squ
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Alnajjar, Khawla. "Receiver Design for Massive MIMO." Thesis, University of Canterbury. Electrical and Computer Engineering, 2015. http://hdl.handle.net/10092/10517.

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Massive multiple-input-multiple-output (MM) is becoming a promising candidate for wireless communications. The idea behind MM is to use a very large number of antennas to increase throughput and energy efficiency by one or more orders of magnitude. In order to make MM feasible, many challenges remain. In the uplink a fundamental question is whether to deploy single massive arrays or to build a virtual array using cooperative base stations. Also, in such large arrays the signal processing involved in receiver combining is non-trivial. Therefore, low complexity receiver designs and deployment sc
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Ajayi, Idowu Iseoluwa. "Enhanced Physical Layer Security through Frequency and Spatial Diversity." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS227.

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La sécurité de la couche physique (PLS) est un paradigme émergent qui se concentre sur l'utilisation des propriétés de la communication sans fil, telles que le bruit, l'évanouissement, la dispersion, l'interférence, la diversité, etc. pour assurer la sécurité entre les utilisateurs légitimes en présence d'un espion. Comme le PLS utilise des techniques de traitement du signal et de codage, il intervient au niveau de la couche physique et peut donc garantir le secret quelle que soit la puissance de calcul de l'espion. Cela en fait une approche intéressante pour compléter la cryptographie traditi
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Negrão, João Lucas. "Efficient detection : from conventional Mimo to massive Mimo communication systems." Universidade Estadual de Londrina. Centro de Tecnologia e Urbanismo. Programa de Pós-Graduação em Engenharia Elétrica, 2018. http://www.bibliotecadigital.uel.br/document/?code=vtls000218370.

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Ao longo deste trabalho, problemas relacionados aos sistemas de comunicação equipados com múltiplas antenas no transmissor e receptor (MIMO - Multiple- Input Multiple-Output) são analisados sob o ponto de vista de detecção clássica, da otimização não-linear, bem como da pré-codificação linear, desde MIMO convencional (algumas antenas no Tx e Rx) até sistemas MIMO de larga-escala (massivo). Inicialmente, a eficiência de detecção de vários detectores MIMO foi analisada sob a prerrogativa de canais altamente correlacionados, situação em que sistemas MIMO apresentam elevada perda de desempenho, al
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ORTEGA, ALVARO JAVIER. "SIGNAL DETECTION IN MASSIVE MIMO SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26176@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>Este trabalho de dissertação de mestrado apresenta uma comparação de algumas das técnicas de detecção de sinais mais promissoras para a viabilização de sistemas MIMO de grande porte em termos de desempenho, taxa de erro de bit e complexidade, número médio de flops requeridos por vetor de símbolos recebido. Com este objetivo foram também consideradas as técnicas de detecção clássicas, visando assim ressaltar o desempen
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Payami, Sohail. "Hybrid beamforming for massive MIMO systems." Thesis, University of Surrey, 2017. http://epubs.surrey.ac.uk/842311/.

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Massive multiple-input multiple-output (MIMO) technology is considered as one of the enabling technologies to scale up the data rates for the future communication systems. Traditional MIMO systems employ digital beamforming where each antenna element is equipped with one radio frequency (RF) chain. When the number of the antennas are scaled up, the cost and power consumption of massive MIMO systems also increase significantly. Recently, hybrid analog-and-digital beamformers have attracted a lot of attention as a cost effective approach to benefit from the advantages of massive MIMO. In hybrid
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Ngo, Hien Quoc. "Massive MIMO: Fundamentals and System Designs." Doctoral thesis, Linköpings universitet, Kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112780.

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The last ten years have seen a massive growth in the number of connected wireless devices. Billions of devices are connected and managed by wireless networks. At the same time, each device needs a high throughput to support applications such as voice, real-time video, movies, and games. Demands for wireless throughput and the number of wireless devices will always increase. In addition, there is a growing concern about energy consumption of wireless communication systems. Thus, future wireless systems have to satisfy three main requirements: i) having a high throughput; ii) simultaneously serv
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Books on the topic "Massives 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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Yang, Howard H., and Tony Q. S. Quek. Massive MIMO Meets Small Cell. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43715-6.

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Liu, Leibo, Guiqiang Peng, and Shaojun Wei. Massive MIMO Detection Algorithm and VLSI Architecture. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6362-7.

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Le-Ngoc, Tho, and Ruikai Mai. Hybrid Massive MIMO Precoding in Cloud-RAN. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02158-0.

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Zhao, Long, Hui Zhao, Kan Zheng, and Wei Xiang. Massive MIMO in 5G Networks: Selected Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68409-3.

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Gao, Zhen, Yikun Mei, and Li Qiao. Sparse Signal Processing for Massive MIMO Communications. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-5394-3.

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

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United States. National Aeronautics and Space Administration., ed. Visualization of unsteady computational fluid dynamics: Final technical report for grant #NAG2-884. Computational Aerospace Sciences Laboratory, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, 1994.

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United States. National Aeronautics and Space Administration., ed. Visualization of unsteady computational fluid dynamics: Final technical report for grant #NAG2-884. National Aeronautics and Space Administration, 1997.

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

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Book chapters on the topic "Massives MIMO"

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Larsson, Erik G., and Emil Björnson. "Massive MIMO." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_136.

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Larsson, Erik G., and Emil Björnson. "Massive MIMO." In Encyclopedia of Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-32903-1_136-1.

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Ngo, Hien Quoc. "Massive MIMO." In 5G and Beyond. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58197-8_4.

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Vook, Frederick W., Amitava Ghosh, and Timothy A. Thomas. "Massive MIMO Communications." In Towards 5G. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118979846.ch15.

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Van Chien, Trinh, and Emil Björnson. "Massive MIMO Communications." In 5G Mobile Communications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34208-5_4.

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Roy, Radhika Ranjan. "Ultra-Massive MIMO." In Artificial Intelligence-Based 6G Networking. Auerbach Publications, 2024. https://doi.org/10.1201/9781003499480-4.

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Roy, Radhika Ranjan. "Massive MIMO Radar." In Artificial Intelligence-Based 6G Networking. Auerbach Publications, 2024. https://doi.org/10.1201/9781003499480-9.

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Gregorio, Fernando, Gustavo González, Christian Schmidt, and Juan Cousseau. "Massive MIMO Systems." In Signal Processing Techniques for Power Efficient Wireless Communication Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_8.

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Zhao, Long, Hui Zhao, Kan Zheng, and Wei Xiang. "Massive MIMO Technology." In SpringerBriefs in Electrical and Computer Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68409-3_2.

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Xu, Wei, Yongming Huang, and Ming Xiao. "Millimeter Wave Massive MIMO." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_114.

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Conference papers on the topic "Massives MIMO"

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Nimura, Shinji, Yu Tsukamoto, Takahide Murakami, et al. "Field Demonstration of Cell-Free Massive MIMO System Utilizing Analog IFoF-Based Fronthaul Link." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th2a.55.

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Cell-Free massive MIMO, which requires phase accuracy of 15°, was successfully demonstrated with analog-IFoF fronthaul link at outdoor environment. Precise phase stability of &lt; 1.41° and successful MIMO operation were confirmed for 48 hours experiment.
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Jiang, Wei, and Hans D. Schotten. "Cell-Free Terahertz Massive MIMO: A Novel Paradigm Beyond Ultra-Massive MIMO." In 2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). IEEE, 2024. http://dx.doi.org/10.1109/meditcom61057.2024.10621129.

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Lejosne, Yohan, Manijeh Bashar, Dirk Slock, and Yi Yuan-Wu. "From MU massive MISO to pathwise MU massive MIMO." In 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2014. http://dx.doi.org/10.1109/spawc.2014.6941308.

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Sun, Haijian, Chris Ng, Yiming Huo, et al. "Massive MIMO." In 2022 IEEE Future Networks World Forum (FNWF). IEEE, 2022. http://dx.doi.org/10.1109/fnwf55208.2022.00138.

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Sun, Haijian, Chris Ng, Yiming Huo, et al. "Massive MIMO." In 2023 IEEE Future Networks World Forum (FNWF). IEEE, 2023. http://dx.doi.org/10.1109/fnwf58287.2023.10520592.

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Vinogradova, Julia, Emil Bjornson, and Erik G. Larsson. "Jamming Massive MIMO using Massive MIMO: Asymptotic separability results." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7952798.

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Liu, Liang, and Wei Yu. "Massive device connectivity with massive MIMO." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006693.

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Dabetić, Rade, Lazar Mitrović, Đorđe Lukić, Goran Marković, and Dejan Drajić. "Analiza performansi tehnika digitalnog prekodiranja za massive MIMO sisteme i različite uslove primene." In LXVIII Конференција ЕТРАН 2024. Друштво за ЕТРАН и Академска мисао, 2024. http://dx.doi.org/10.69994/68e24048.

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U radu su prikazani rezultati analize performansi tehnika digitalnog prekodiranja pri primeni u downlink smeru prenosa u okviru višekorisničkih MIMO (MU-MIMO, Multi-User Multiple-Input Multiple-Output) sistema, u formi massive MIMO sistema (mMIMO), i to za različite uslove u pogledu međusobne korelacije kanala i kvaliteta procene stanja kanala (CSI, Channel State Information). Prikazani su osnovni rezultati i zaključci sprovedene uporedne analize datih tehnika prekodiranja u smislu potencijalno ostvarivih kapaciteta za različite scenarije primene u okviru mMIMO sistema, kao i računske složenos
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Kudathanthirige, Dhanushka, and Gayan Amarasuriya. "Distributed Massive MIMO Downlink." In ICC 2019 - 2019 IEEE International Conference on Communications (ICC). IEEE, 2019. http://dx.doi.org/10.1109/icc.2019.8761446.

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Larsson, Erik G. "Fundamentals of massive MIMO." In 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2015. http://dx.doi.org/10.1109/spawc.2015.7226986.

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Reports on the topic "Massives MIMO"

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Saeed, Muhammad Kamran. Pilot Contamination and Channel Estimation In Massive MIMO Systems. Iowa State University, 2024. http://dx.doi.org/10.31274/cc-20240624-1126.

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VanDyke, J. P., J. L. Tomkins, and M. D. Furnish. Measures of effectiveness for BMD mid-course tracking on MIMD massively parallel computers. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/83111.

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