Relevant bibliographies by topics / MIMO

Contents

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

Academic literature on the topic 'MIMO'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "MIMO"

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Furuya, Toshiki, Mika Hayashi, and Kuniki Kino. "Reconstitution of Active Mycobacterial Binuclear Iron Monooxygenase Complex in Escherichia coli." Applied and Environmental Microbiology 79, no. 19 (2013): 6033–39. http://dx.doi.org/10.1128/aem.01856-13.

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ABSTRACTBacterial binuclear iron monooxygenases play numerous physiological roles in oxidative metabolism. Monooxygenases of this type found in actinomycetes also catalyze various useful reactions and have attracted much attention as oxidation biocatalysts. However, difficulties in expressing these multicomponent monooxygenases in heterologous hosts, particularly inEscherichia coli, have hampered the development of engineered oxidation biocatalysts. Here, we describe a strategy to functionally express the mycobacterial binuclear iron monooxygenase MimABCD inEscherichia coli. Sodium dodecyl sul
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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "ZFE AND MMSE SCHEMES FOR MIMO COMMUNICATION SYSTEMS : AN ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 37–43. https://doi.org/10.5281/zenodo.10752418.

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<strong><em>Abstract:</em></strong> <em>&nbsp;</em>MIMO systems are very important technological advancements with respect to the third generation and fourth generation&rsquo;s wireless networks for RF communication.<em> </em>There are multiple equalization schemes for MIMO systems and two very important of them are ZFE and MMSE. In this paper we are analyzing the performance of both the schemes in different conditions. <em>Index terms-</em> MIMO, SISO, SIMO, MISO, MMSE, ZFE.
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Kumar Sarangi, Ashish, Amrit Mukherjee, and Amlan Datta. "Capacity comparison of MIMO and cooperative MIMO." International Journal of Engineering & Technology 7, no. 1.1 (2017): 638. http://dx.doi.org/10.14419/ijet.v7i1.1.10794.

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To achieve high capacity and high data rates is the main requirement for today’s generation. This paper studies about the performance and capacity comparison of MIMO and cooperative MIMO systems. The comparison of capacity between multiple- input- multiple- output (MIMO) and cooperative MIMO systems helps us to know that which system have better performance and better capacity. The simulation results shows that among SISO, SIMO, MISO and MIMO system the capacity of MIMO will be better but in between MIMO and cooperative MIMO, Cooperative MIMO system have high capacity than MIMO systems.
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Samardžić, Biljana, and Bojana Zlatković. "MODIFIED PYRAGAS METHOD FOR MULTIPLE SPATIAL LIMIT SETS AND CHAOS CONTROL IN MIMO CASCADE NONLINEAR SYSTEMS." Facta Universitatis, Series: Automatic Control and Robotics 17, no. 3 (2019): 165. http://dx.doi.org/10.22190/fuacr1803165s.

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The modified Pyragas method for the multiple spatial limit sets and chaos control in MIMO cascade nonlinear systems is presented in this paper. Also, oscillatory and chaotic dynamic analysis of concrete MIMO3 cascade nonlinear system is performed before and after the application of control. Bifurcation diagrams and spatial phase portraits of uncontrolled and controlled MIMO3 system are used for the purposes of analysis.
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Liu, Lingjia, Runhua Chen, Stefan Geirhofer, Krishna Sayana, Zhihua Shi, and Yongxing Zhou. "Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO." IEEE Communications Magazine 50, no. 2 (2012): 140–47. http://dx.doi.org/10.1109/mcom.2012.6146493.

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "OVERVIEW OF RF COMMUNICATION FROM SISO SYSTEMS TO MIMO SYSTEMS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 13–18. https://doi.org/10.5281/zenodo.10752074.

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<strong><em>Abstract: </em></strong> <em>&nbsp;The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems known as MISO systems
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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "EQUALIZATION SCHEMES IN MIMO RF COMMUNICATION: A PERFORMANCE ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 44–50. https://doi.org/10.5281/zenodo.10752554.

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<strong><em>Abstract:</em></strong> <strong><em>&nbsp;</em></strong>The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems
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Башкиров, А. В., И. В. Свиридова, and М. В. Хорошайлова. "USING NEURAL NETWORKS FOR MIMO DETECTION AND CHANNEL DECODING." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 3(-) (August 15, 2022): 71–77. http://dx.doi.org/10.36622/vstu.2022.18.3.009.

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Предложен подход глубокого обучения для совместной задачи обнаружения MIMO и декодирования канала. Обычные приемники MIMO применяют подход на основе существующей модели для обнаружения MIMO и декодирования канала линейным или итеративным образом. Однако из-за сложной модели сигнала MIMO оптимальное решение проблемы совместного обнаружения MIMO и декодирования канала (то есть декодирование с максимальной вероятностью переданных кодовых слов из принятых сигналов MIMO) невозможно с вычислительной точки зрения. В качестве практической меры все современные приемники MIMO на основе стандартных модел
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Ohtsuki, Tomoaki. "MIMO." Journal of The Institute of Image Information and Television Engineers 60, no. 11 (2006): 1766–68. http://dx.doi.org/10.3169/itej.60.1766.

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Handel, Peter, and Daniel Ronnow. "MIMO and Massive MIMO Transmitter Crosstalk." IEEE Transactions on Wireless Communications 19, no. 3 (2020): 1882–93. http://dx.doi.org/10.1109/twc.2019.2959534.

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Dissertations / Theses on the topic "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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Botonjic, Aida. "MIMO kanalmodeler." Thesis, Linköping University, Department of Science and Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2188.

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<p>The objective of this diploma work is to investigate a set of Multiple Input Multiple Output (MIMO) channel models compatible with the emerging IEEE 802.11n standard. This diploma work validates also advanced, innovative tools and wireless technologies that are necessary to facilitate wireless applications while maximizing spectral efficiency and throughput. </p><p>MIMO channel models can be used to evaluate new Wireless Local Area Network (WLAN) proposals based on multiple antenna technologies. </p><p>The purpose of this thesis is to investigate means of channel models and their implementa
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Choi, Lai U. "Multi-user MISO and MIMO transmit signal processing for wireless communication /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20CHOI.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 167-170). Also available in electronic version. Access restricted to campus users.
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Ma, Shaodan. "Semi-blind signal detection for MIMO and MIMO-OFDM systems." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36846569.

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Ma, Shaodan, and 馬少丹. "Semi-blind signal detection for MIMO and MIMO-OFDM systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36846569.

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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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Janhunen, J. (Janne). "Programmable MIMO detectors." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514296598.

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Abstract The multiple-input multiple-output (MIMO) technique combined with an orthogonal frequency division multiplexing (MIMO--OFDM) has been introduced as a promising approach for the ever increasing capacity and quality of service (QoS) requirements for wireless communication systems. An efficient radio spectrum utilization expects a flexible transceiver solution, which has been the reason for the development of the software defined radio (SDR) technologies which in their turn are expected to enable the creation of cognitive radios. As a result, any radio solution could be invoked on demand
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Basnayaka, Dushyantha. "Macrodiversity MIMO Transceivers." Thesis, University of Canterbury. Electrical and Computer Engineering, 2012. http://hdl.handle.net/10092/7266.

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In wireless systems, radio signals are corrupted due to fading, interference and noise. In order to handle the effects of fading and interference, modern systems employ various techniques including multi-antenna transceivers. Initially, multi-antenna systems were proposed only for point-point communication. More recently, multi-antenna transceivers have been proposed for multiuser (MU) wireless systems. There are various topologies in which multi-antenna transceivers can be used in a multiuser wireless environment. Among them, macrodiversity is an important concept driven by many scenarios, in
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Xiao, Hui. "MIMO channel modeling." Thesis, University of York, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.479187.

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Kančo, Vít. "Simulace MIMO systémů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218624.

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MIMO systems are mainly used in application for wireless communication. Their principle is to use a large number of antennas for transmition and the reception of a signal. The core of these systems is to use space-time coding and either block or trellis space-time code. In the future, it is assumed enormous enlargement MIMO systems in many applications
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Books on the topic "MIMO"

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Bartoszewski, Władysław. Mimo wszystko. Dom Wydawniczy PWN, 2013.

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Gutiérrez, Vicente. Mimo muerto. Devenir, 2001.

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Afanasʹev, Anatoliĭ. Mimo deneg. Martin, 2001.

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Jadoul, Emile. Mimo exprés. Editorial Corimbo, 2012.

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Monteiro, Mário Ypiranga. Dalila (Mimo). Editora da Universidade do Amazonas, 1997.

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Masarykova univerzita v Brně. Ústav slavistiky, ed. Slovensko mimo Slovensko, Slovensko mimo Slovenska: Kolektivní monografie. Ústav slavistiky Filozofické fakulty Masarykovy univerzity, 2008.

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Berger, I͡Akov. Mimo minuty: Aforizmy. Y. Berger, 1987.

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Kumar, Yadwinder, Shrivishal Tripathi, and Balwinder Raj. Multifunctional MIMO Antennas. CRC Press, 2022. http://dx.doi.org/10.1201/9781003290230.

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Halpern, Justin. Vse telki mimo. CORPUS, 2013.

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Staszewski, Stanisław. Tata mimo woli. Wydawnictwo "Kosmos Kosmos", 2014.

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Book chapters on the topic "MIMO"

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Ovchinnikov, Andrei, and Sergei Semenov. "MIMO." In Modulation and Coding Techniques in Wireless Communications. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470976777.ch8.

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Roy, Radhika Ranjan. "MIMO." In Artificial Intelligence-Based 6G Networking. Auerbach Publications, 2024. https://doi.org/10.1201/9781003499480-2.

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Abbas, Karim. "MIMO." In From Algorithms to Hardware Architectures. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08693-9_9.

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Rao, K. Deergha. "MIMO System." In Channel Coding Techniques for Wireless Communications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0561-4_11.

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Seron, María M., Julio H. Braslavsky, and Graham C. Goodwin. "MIMO Control." In Communications and Control Engineering. Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0965-5_4.

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Seron, María M., Julio H. Braslavsky, and Graham C. Goodwin. "MIMO Filtering." In Communications and Control Engineering. Springer London, 1997. http://dx.doi.org/10.1007/978-1-4471-0965-5_9.

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Fang, Song, Jie Chen, and Hideaki Ishii. "MIMO Systems." In Towards Integrating Control and Information Theories. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49289-6_7.

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Barry, John R., Edward A. Lee, and David G. Messerschmitt. "MIMO Communications." In Digital Communication. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0227-2_10.

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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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Zhang, Jun. "Network MIMO." In Encyclopedia of Wireless Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-78262-1_138.

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Conference papers on the topic "MIMO"

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Kovaios, S., M. Vargemidou, C. Vagionas, et al. "A Crossbar-based coherent silicon photonic MIMO processor for wireless communications." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w4f.3.

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We demonstrate a silicon photonic coherent MIMO processor using a photonic Crossbar (Xbar) layout. Successful experimental validation of its performance as a 4×4 MIMO processor and a 3×3 MIMO with on-chip phase retrieval is presented.
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Beppu, Shohei, and Daiki Soma. "Long-Haul MIMO Transmission With a Coupled Core MCF." In Signal Processing in Photonic Communications. Optica Publishing Group, 2024. https://doi.org/10.1364/sppcom.2024.spth2g.1.

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We review recent progress of long-haul MIMO transmission experiments with a coupled core MCF.&lt;br/&gt;Issues of real-time MIMO DSP implementation such as DSP complexity and adaptive tracking are also discussed. Full-text article not available; see video presentation
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Puerta, Rafael, Armands Ostrovskis, Kristaps Rubuls, et al. "Approaching Theoretical Performance of 6G Distributed MIMO with Optical Analog Fronthaul." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sw4n.3.

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We experimentally validate coherent joint transmission (CJT) in a D-MIMO system with four transmitters using analog fronthaul and RoF links, fulfilling CJT stringent synchronization requirements. MIMO gains close to theoretical values are demonstrated.
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"Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization." In Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005265403170324.

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"Antennas’ Correlation Influence on the GMD-assisted MIMO Channels Performance." In Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005363603250334.

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"Efficient Soft-output Detectors - Multi-core and GPU implementations in MIMOPack Library." In Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005369503350344.

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Melchior, P., C. Inarn, and A. Oustaloup. "Path Tracking Design by Fractional Prefilter Extension to Square MIMO Systems." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87550.

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The aim of this paper concerns motion control and robust path tracking. An approach based on fractional prefilter synthesis was already developed. It allows tracking optimization according to the fractional derivation order, the actuators physical constraints and the control loop frequency bandwidth. The purpose of this paper is the extension of this approach to multivariable systems. A non integer prefilter synthesis methodology for square MIMO systems (Multi-Input, Multi-Output) is presented. It is based on the MIMO-QFT robust synthesis methodology, taking into account of the plant uncertain
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Thoma, R. S. "MIMO measurement for double-directional channel modelling." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010191.

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Wales, S. W. "A MIMO technique within the UTRA TDD standard." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010200.

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Lohse, N. "MIMO signal description for spatial-variant filter generation." In IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010206.

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Reports on the topic "MIMO"

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Rabideau, D. J. MIMO Radar Aperture Optimization. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada536191.

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Kantor, J. M., and S. K. Davis. Airborne MIMO GMTI Radar. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada540557.

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Badiey, Mohsen, Aijun Song, and Arthur Trembanis. MIMO Transceiver Systems on AUVs. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532962.

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Haimovich, Alex. Advanced Techniques for MIMO Broadband Communications. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada449036.

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Zhu, Weijun, and Babak Daneshrad. Throughput Optimization Via Adaptive MIMO Communications. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada451674.

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Yang, Liuqing, and Jian Li. MIMO-UAC for Rate Enhancement and Range Extension. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada491511.

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Li, Jian. Robust High Data Rate MIMO Underwater Acoustic Communications. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada535636.

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Li, Jian. Robust High Data Rate MIMO Underwater Acoustic Communications. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada551223.

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Li, Jian. Multi-Input Multi-Output (MIMO) Radar - Diversity Means Superiority. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada487209.

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Haimovich, Alexander M. MIMO Radar: A Multi-Sensor Spatially Diverse Radar Architecture. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada495118.

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