Literatura académica sobre el tema "MIMO systems"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "MIMO systems".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "MIMO systems"
Joshi, Dr Shreedhar A. "Multi-User MIMO Systems". Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31 de octubre de 2016): 193–96. http://dx.doi.org/10.9756/bijsesc.8275.
Texto completoSwapna, Sonti. "Channel Estimation for MIMO Systems". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 201–4. http://dx.doi.org/10.22214/ijraset.2022.39776.
Texto completoRemlein, Piotr. "Multiuser cpm transmission for mimo systems". Image Processing & Communications 18, n.º 4 (1 de diciembre de 2013): 59–65. http://dx.doi.org/10.2478/v10248-012-0093-0.
Texto completoKumar Sarangi, Ashish, Amrit Mukherjee y Amlan Datta. "Capacity comparison of MIMO and cooperative MIMO". International Journal of Engineering & Technology 7, n.º 1.1 (21 de diciembre de 2017): 638. http://dx.doi.org/10.14419/ijet.v7i1.1.10794.
Texto completoMohammed A. Ali, Musaab y Volodymyr Vodichev. "MODELING OF MIMO SYSTEMS WITH UNIVERSAL CONTROLLER". ELECTRICAL AND COMPUTER SYSTEMS 37, n.º 113 (30 de junio de 2023): 26–32. http://dx.doi.org/10.15276/eltecs.37.113.2023.03.
Texto completoSharma, Manmohan, Sunny Verma y Shekhar Verma. "Optimization of Cell-Free Massive MIMO System". Journal of Physics: Conference Series 2327, n.º 1 (1 de agosto de 2022): 012056. http://dx.doi.org/10.1088/1742-6596/2327/1/012056.
Texto completoHwang, Inho, Han Park y Jeong Lee. "LDPC Coded Massive MIMO Systems". Entropy 21, n.º 3 (27 de febrero de 2019): 231. http://dx.doi.org/10.3390/e21030231.
Texto completoHemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto y Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility". ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, n.º 1 (9 de julio de 2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.
Texto completoMorris, M. L., M. A. Jensen y J. W. Wallace. "Superdirectivity in MIMO systems". IEEE Transactions on Antennas and Propagation 53, n.º 9 (septiembre de 2005): 2850–57. http://dx.doi.org/10.1109/tap.2005.854530.
Texto completoDai, Jincheng, Kai Niu y Jiaru Lin. "Polar-Coded MIMO Systems". IEEE Transactions on Vehicular Technology 67, n.º 7 (julio de 2018): 6170–84. http://dx.doi.org/10.1109/tvt.2018.2815602.
Texto completoTesis sobre el tema "MIMO systems"
Sörman, Simon. "System Information Distribution in Massive MIMO Systems". Thesis, Linköpings universitet, Kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129294.
Texto completoChen, Danshan. "Precoding for MIMO systems". Thesis, University of York, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.535046.
Texto completoBennia, Abdelhak. "Mimo systems parameters identification". Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.
Texto completoIn this thesis, a presentation of a new canonical representation of multi-input multioutput systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to classical state space representation ls also given.
The importance of the new representation lies in the fact that all unknown parameters and state variables appear linearly multlplied by either external variables (inputs and outputs) that appear in the data record, or by matrices that are only composed of ieroes and ones. This property enables us to perform a joint state and parameters estimation. Moreover, if the noises are gaussian and their statistics are known, an on-line algorithm that involves a standard dlscrete-time time-varying Kalman filter is proposed and used successfully in the estimation of unknown parameters for simulated examples.
Master of Science
Rashid, Imran. "MIMO multi-hop relay systems". Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/mimo-multihop-relay-systems(f8d60fed-c19c-419d-b14f-7defc4721bc3).html.
Texto completoMa, 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.
Texto completoMa, Shaodan y 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.
Texto completoNegrão, 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.
Texto completoThroughout this work, problems related to communication systems equipped with multiple antennas in the transmitter and receiver (MIMO - Multiple-Input Multiple-Output) are analyzed from the point of view of classical detection, nonlinear optimization, as well as linear pre-coding, from conventional MIMO (some Tx and Rx antennas) to large-scale (massive) MIMO systems. Initially, the detection efficiency of several MIMO detectors were analyzed under the prerogative of highly correlated channels, in which situation, MIMO systems present a high loss of performance, and, in some cases, an increasing complexity. Considering this scenario, we have specifically studied the behavior in terms of compromise complexity x bit error rate (BER), for different detection techniques, such as the successive interference cancellation (SIC), lattice reduction (LR), as well as the combination of each of these with linear detection techniques. In this analysis, different uniform antenna structures with uniform linear array (ULA) and planar array array (UPA) were also considered in both transmitter and receiver side. In addition, different number of antennas and order of modulation were also considered. Next, the MIMO detection problem was studied from a nonlinear optimization perspective, specifically aiming to achieve optimum performance. The detection solution with semi-defined relaxation (SDR - it semidefinite relaxation) were analyzed. The SDR-MIMO detector is an efficient approach capable of achieving near-optimal performance, especially for low and medium modulation orders. We focused our efforts on developing a computationally efficient approach for the maximum likelihood (ML) MIMO detection algorithm based on semi-definite programming (SDP) for M-QAM constellations. Finally, we study an optimal power allocation problem aiming to maximizes the sum-rate capacity of a single cell massive MIMO broadcast channel equipped with zero-forcing beamforming (ZFBF) and regularized channel inversion (RCI) precoding at the base station (BS). Our purpose is to investigate this problem in the large-scale system limit, i.e, when the number of users, K, and antennas at the BS, M, tend to infinity with a ratio β = K/M being held constant. We first derive the signal to interference plus noise (SINR) ratio for both chosen precoders. Then we investigate optimal power allocation schemes that maximize the sum-rate per antenna under an average power constraint and we show that the problem is convex and the power allocation follows the well-known Water-Filling strategy. We also studied a problem related to an optimal power allocation at a finite group of clustered users and determine the impact of this scheme in the ergodic sum-rate capacity.
Gonzalez, Perez Miryam Guadalupe. "Scaling up virtual MIMO systems". Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31321.
Texto completoLiu, Di. "Tensor precoding for MIMO systems". Thesis, University of York, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546819.
Texto completoWu, Zhuo. "MIMO techniques in cellular systems". Thesis, University of York, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423603.
Texto completoLibros sobre el tema "MIMO systems"
Bessai, Horst J. MIMO Signals and Systems. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/b139100.
Texto completoEzio, Biglieri, ed. MIMO wireless communications. Cambridge: Cambridge University Press, 2007.
Buscar texto completoKaiser, Thomas. Ultra wideband systems with MIMO. Chichester, West Sussex, U.K: Wiley, 2010.
Buscar texto completoDuman, Tolga M. Coding for MIMO communication systems. Hoboken, NJ: J. Wiley & Sons, 2007.
Buscar texto completoCosta, Nelson. Multiple-input multiple-output channel models: Theory and practice. Hoboken, N.J: Wiley, 2010.
Buscar texto completoKalis, Antonis, Athanasios G. Kanatas y Constantinos B. Papadias, eds. Parasitic Antenna Arrays for Wireless MIMO Systems. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7999-4.
Texto completo1968-, Tsoulos George V., ed. MIMO system technology for wireless communications. Boca Raton [Fla.]: Taylor & Francis, 2006.
Buscar texto completoLi, Jian. MIMO radar signal processing. Hoboken, NJ: J. Wiley & Sons, 2008.
Buscar texto completoLi, Jian. MIMO radar signal processing. Hoboken, NJ: J. Wiley & Sons, 2008.
Buscar texto completoHuang, Howard C. MIMO for multiuser wireless systems: Theory and applications. New York: Springer, 2008.
Buscar texto completoCapítulos de libros sobre el tema "MIMO systems"
Fang, Song, Jie Chen y Hideaki Ishii. "MIMO Systems". En Towards Integrating Control and Information Theories, 113–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49289-6_7.
Texto completoTölli, Antti, Petri Komulainen, Federico Boccardi, Mats Bengtsson y Afif Osseiran. "Multiuser MIMO Systems". En Mobile and Wireless Communications for IMT-Advanced and Beyond, 89–120. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976431.ch5.
Texto completoGregorio, Fernando, Gustavo González, Christian Schmidt y Juan Cousseau. "Massive MIMO Systems". En Signal Processing Techniques for Power Efficient Wireless Communication Systems, 193–216. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32437-7_8.
Texto completoChen, Shun-Ping y Heinz Schmiedel. "MIMO Antenna Systems". En RF Antenna Beam Forming, 103–15. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21765-4_6.
Texto completoTerré, Michel, Mylène Pischella y Emmanuelle Vivier. "MIMO and Beamforming". En Wireless Telecommunication Systems, 129–53. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118625422.ch5.
Texto completoSpeidel, Joachim. "MIMO Systems with Precoding". En Signals and Communication Technology, 233–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00548-1_22.
Texto completoSpeidel, Joachim. "MIMO Systems with Precoding". En Signals and Communication Technology, 269–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67357-4_18.
Texto completoSong, Yongduan, Kai Zhao y Hefu Ye. "Control of MIMO Systems". En Control of Nonlinear Systems, 127–52. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003474364-7.
Texto completoAhmed, Bannour y Mohammad Abdul Matin. "ASTC-MIMO to ASTC-MIMO-OFDM System". En Coding for MIMO-OFDM in Future Wireless Systems, 53–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9_5.
Texto completoBai, Lin y Jinho Choi. "Detection for Underdetermined MIMO Systems". En Low Complexity MIMO Detection, 141–65. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-8583-5_6.
Texto completoActas de conferencias sobre el tema "MIMO systems"
"Resource Allocation in SVD-assisted Broadband MIMO Systems Using Polynomial Matrix Factorization". En Special Session on Advances in MIMO Communication. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005265403170324.
Texto completoMelchior, P., C. Inarn y A. Oustaloup. "Path Tracking Design by Fractional Prefilter Extension to Square MIMO Systems". En ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87550.
Texto completoPupolin, Silvano. "MIMO systems". En 2012 IEEE First AESS European Conference on Satellite Telecommunications (ESTEL). IEEE, 2012. http://dx.doi.org/10.1109/estel.2012.6400139.
Texto completoAit-Idir, Tarik. "Session details: MIMO systems III (MIMO Systems symposium)". En IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251290.
Texto completoWang, Cheng-Xiang. "Session details: MIMO systems I (MIMO Systems symposium)". En IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251268.
Texto completoVasilakos, Athanasios (Thanos). "Session details: MIMO systems II (MIMO Systems symposium)". En IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference. New York, NY, USA: ACM, 2009. http://dx.doi.org/10.1145/3251278.
Texto completoThoma, R. S. "MIMO measurement for double-directional channel modelling". En IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010191.
Texto completoBurr, A. "Capacity of adaptive MIMO systems in a finite scattering channel". En IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010214.
Texto completoWales, S. W. "A MIMO technique within the UTRA TDD standard". En IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010200.
Texto completoLohse, N. "MIMO signal description for spatial-variant filter generation". En IEE Seminar MIMO: Communications Systems from Concept to Implementation. IEE, 2001. http://dx.doi.org/10.1049/ic:20010206.
Texto completoInformes sobre el tema "MIMO systems"
Badiey, Mohsen, Aijun Song y Arthur Trembanis. MIMO Transceiver Systems on AUVs. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2008. http://dx.doi.org/10.21236/ada532962.
Texto completoSaeed, Muhammad Kamran. Pilot Contamination and Channel Estimation In Massive MIMO Systems. Ames (Iowa): Iowa State University, mayo de 2024. http://dx.doi.org/10.31274/cc-20240624-1126.
Texto completoTatlicioglu, Enver, Bin Xian, Darren M. Dawson y Timothy Burg. Adaptive Control of Flat MIMO Nonlinear Systems with Additive Disturbance. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada462618.
Texto completoGarcia-Sanz, Mario y Carlos Molins. Advanced Quantitative Robust Control Engineering: New Solutions for Automatic Loop-Shaping for SISO and MIMO Systems. Part 1: SISO Systems. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2009. http://dx.doi.org/10.21236/ada521387.
Texto completoWen, Qingsong, Minzhen Ren y Xiaoli Ma. Fixed-point Design of the Lattice-reduction-aided Iterative Detection and Decoding Receiver for Coded MIMO Systems. Fort Belvoir, VA: Defense Technical Information Center, enero de 2011. http://dx.doi.org/10.21236/ada586964.
Texto completoBernhard, Jennifer T. Enabling Technology for Multiple Input Multiple Output (MIMO) Systems on Mobile Military Platforms: Antennas, Switches, and Packaging. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2011. http://dx.doi.org/10.21236/ada544844.
Texto completoAnderson, James H. Mechanisms for Scalable Object Sharing in MIMD Multiprocessing Systems. Fort Belvoir, VA: Defense Technical Information Center, julio de 1998. http://dx.doi.org/10.21236/ada357996.
Texto completoKovitz, B. MIME Media Type for the Systems Biology Markup Language (SBML). RFC Editor, junio de 2004. http://dx.doi.org/10.17487/rfc3823.
Texto completoAllen, S. y D. Wells. MIME Sub-type Registrations for Flexible Image Transport System (FITS). RFC Editor, abril de 2005. http://dx.doi.org/10.17487/rfc4047.
Texto completoSeel, Joachim, Joseph Rand, Will Gorman, Dev Millstein, Ryan Wiser, Will Cotton, Nicholas DiSanti y Kevin Porter. Generator Interconnection Cost Analysis in the Midcontinent Independent System Operator (MISO) territory. Office of Scientific and Technical Information (OSTI), octubre de 2022. http://dx.doi.org/10.2172/1891311.
Texto completo