Literatura académica sobre el tema "MIMO decoder"
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Artículos de revistas sobre el tema "MIMO decoder"
Alghoniemy, Masoud y Ahmed H. Tewfik. "MIMO Cube Decoder". Journal of Communications Software and Systems 7, n.º 3 (22 de septiembre de 2011): 104. http://dx.doi.org/10.24138/jcomss.v7i3.176.
Texto completoMao, Yun, Ying Guo, Jun Peng, Xueqin Jiang y Moon Ho Lee. "Double-Layer Low-Density Parity-Check Codes over Multiple-Input Multiple-Output Channels". International Journal of Antennas and Propagation 2012 (2012): 1–6. http://dx.doi.org/10.1155/2012/716313.
Texto completoAli, Sajid, Sara Shakil Qureshi y Syed Ali Hassan. "Quaternion Codes in MIMO System of Dual-Polarized Antennas". Applied Sciences 11, n.º 7 (1 de abril de 2021): 3131. http://dx.doi.org/10.3390/app11073131.
Texto completoHarbi, Yahya, ALI AL-JANABI, Hayder Almusa, Marwa Chafii y Alister Burr. "Iterative Interference Cancellation for Multi-Carrier Modulation in MIMO-DWT Downlink Transmission". Journal of Telecommunications and the Digital Economy 9, n.º 4 (5 de diciembre de 2021): 75–87. http://dx.doi.org/10.18080/jtde.v9n4.426.
Texto completoEl Chall, Rida, Fabienne Nouvel, Maryline Hélard y Ming Liu. "Performance and Complexity Evaluation of Iterative Receiver for Coded MIMO-OFDM Systems". Mobile Information Systems 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/7642590.
Texto completoMilford, David y Magnus Sandell. "Simplified Quantisation in a Reduced-Lattice MIMO Decoder". IEEE Communications Letters 15, n.º 7 (julio de 2011): 725–27. http://dx.doi.org/10.1109/lcomm.2011.051011.110485.
Texto completoMathur, Garima, Mohammad Salim y R. Yadav. "A Novel Approach for Sphere Decoder MIMO System". British Journal of Mathematics & Computer Science 4, n.º 1 (10 de enero de 2014): 22–32. http://dx.doi.org/10.9734/bjmcs/2014/5614.
Texto completoJiménez-Pacheco, Alberto, Ángel Fernández-Herrero y Javier Casajús-Quirós. "Design and Implementation of a Hardware Module for MIMO Decoding in a 4G Wireless Receiver". VLSI Design 2008 (31 de enero de 2008): 1–8. http://dx.doi.org/10.1155/2008/312614.
Texto completoCerato, Barbara, Guido Masera y Emanuele Viterbo. "Enabling VLSI Processing Blocks for MIMO-OFDM Communications". VLSI Design 2008 (24 de marzo de 2008): 1–10. http://dx.doi.org/10.1155/2008/351962.
Texto completoJIN, Xianglan, Dong-Sup JIN, Jong-Seon NO y Dong-Joon SHIN. "Diversity Analysis of MIMO Decode-and-Forward Relay Network by Using Near-ML Decoder". IEICE Transactions on Communications E94-B, n.º 10 (2011): 2828–36. http://dx.doi.org/10.1587/transcom.e94.b.2828.
Texto completoTesis sobre el tema "MIMO decoder"
Krishnan, Praveen G. "Fast sphere decoder for MIMO systems". Diss., Rolla, Mo. : University of Missouri-Rolla, 2007. http://scholarsmine.umr.edu/thesis/pdf/umrthes_09007dcc80318823.pdf.
Texto completoVita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 16, 2007) Includes bibliographical references (p. 38).
Quesenberry, Joshua Daniel. "Communication Synthesis for MIMO Decoder Matrices". Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/51149.
Texto completoThis framework, which is controlled by a microsequencer, is centered on a matrix-based memory structure comprised of 64 individual dual-ported memory blocks. The microsequencer uses an instruction word that can control every element of the architecture during a single clock cycle. Routing to and from the memory structure uses an optimized form of a crossbar switch with predefined routing paths supporting any combination of input/output pairs needed by the algorithm.
A goal at the start of the design was to achieve a clock speed of over 100 MHz; a clock speed of 183 MHz has been achieved. This design is capable of performing a 4x4 matrix inversion within 335 clock cycles, or 1,829 ns. The power efficiency of the design is measured at 17.15 MFLOPS/W.
Master of Science
Mohammed, Karim Ossama. "A MIMO decoder accelerator for next generation wireless communications". Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1875366181&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Texto completoPatel, Vipul Hiralal. "A system on programmable chip approach for MIMO lattice decoder". ScholarWorks@UNO, 2004. http://louisdl.louislibraries.org/u?/NOD,167.
Texto completoTitle from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in the Department of Electrical Engineering."--Thesis t.p. Vita. Includes bibliographical references.
Lim, Melvin Chi Hearn. "Linear Precoder and Decoder Design for the Multiuser MIMO Downlink". Thesis, University of Leeds, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509007.
Texto completoKapfunde, Goodwell. "Near-capacity sphere decoder based detection schemes for MIMO wireless communication systems". Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11350.
Texto completoSingh, Arun Kumar. "Le compromis Débit-Fiabilité-Complexité dans les systèmes MMO multi-utilisateurs et coopératifs avec décodeurs ML et Lattice". Thesis, Paris, ENST, 2012. http://www.theses.fr/2012ENST0005/document.
Texto completoIn telecommunications, rate-reliability and encoding-decoding computational complexity (floating point operations - flops), are widely considered to be limiting and interrelated bottlenecks. For this reason, any attempt to significantly reduce complexity may be at the expense of a substantial degradation in error-performance. Establishing this intertwined relationship constitutes an important research topic of substantial practical interest. This dissertation deals with the question of establishing fundamental rate, reliability and complexity limits in general outage-limited multiple-input multiple-output (MIMO) communications, and its related point-to-point, multiuser, cooperative, two-directional, and feedback-aided scenarios. We explore a large subset of the family of linear lattice encoding methods, and we consider the two main families of decoders; maximum likelihood (ML) based and lattice-based decoding. Algorithmic analysis focuses on the efficient bounded-search implementations of these decoders, including a large family of sphere decoders. Specifically, the presented work provides high signal-to-noise (SNR) analysis of the minimum computational reserves (flops or chip size) that allow for a) a certain performance with respect to the diversity-multiplexing gain tradeoff (DMT) and for b) a vanishing gap to the uninterrupted (optimal) ML decoder or a vanishing gap to the exact implementation of (regularized) lattice decoding. The derived complexity exponent describes the asymptotic rate of exponential increase of complexity, exponential in the number of codeword bits
Sevelimedu, Veeravalli Vinodh. "Study of MIMO, orthogonal codes and core operator architecture design for ML decoder". Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10155.
Texto completoIn the high-end research process of wireless systems and in the race for the development of the new technologies, MIMO (Multiple Input, Multiple Output) is getting more attention now days. It has a high potential usage in the 3G and 4G communications and beyond. The MIMO based system has got the ability to increase the data throughput in spectrum-limited conditions. With the increase and complexity of wireless applications, the spectrum efficiency improvement in the physical layer will be saturated. MIMO is predicted to be one of the major features for the next generation wireless networking. This thesis work is a part of an ongoing project of the Generic MIMO decoder design carried out at the research laboratory, LESTER at Lorient, France. I was involved in the study of MIMO concepts, orthogonal and Space-time codes and later involved in the design and optimization of the architecture for the core operator for the ML decoder used in the reception of the MIMO system,which is presented in this report work.
Correia, Tiago Miguel Pina. "FPGA implementation of Alamouti encoder/decoder for LTE". Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12679.
Texto completoMotivados por transmissões mais rápidas e mais fiáveis num canal sem fios, os sistemas da 4G devem proporcionar processamento de dados mais rápido a baixa complexidade, elevadas taxas de dados, assim como robustez na performance reduzindo também, a latência e os custos de operação. LTE apresenta, na sua camada física, tecnologias como OFDM e MIMO que prometem alcançar elevadas taxas de dados e aumentar a eficiência espectral. Especificamente a camada física do LTE emprega OFDMA para downlink e SC-FDMA para uplink. A tecnologia MIMO permite também melhorar significativamente o desempenho dos sistemas OFDM com as vantagens de multiplexação e diversidade espacial diminuindo o efeito de desvanecimento de multi-percurso no canal. Nesta dissertação são implementados um codificador e um descodificador com base no algoritimo de Alamouti num sistema MISO nomeadamente para serem incluídos num OFDM transceiver que segue as especificações da camada física do LTE. A codificação/descodificação de Alamouti realiza-se no espaço e frequência e os blocos foram projetados e simulados em Matlab através do ambiente Simulink com o auxílio dos blocos da Xilinx inseridos no seu software System Generator para DSP. Pode-se concluir que os blocos baseados no algoritmo de Alamouti foram implementados em hardware com sucesso.
Motivated by faster transmissions and more reliable wireless channel, future 4G systems should provide faster data processing at low complexity, high data rates, as well as robustness in performance while also reducing the latency and operating costs. LTE presents in its physical layer technologies such as OFDM and MIMO that promise to achieve high data rates and increase spectral efficiency. Specifically the physical layer of LTE employs OFDMA on the downlink and SC-FDMA for uplink. MIMO technology also allows to significantly improve the performance of OFDM systems with the advantages of multiplexing and spatial diversity by decreasing the effect of multipath fading in the channel. In this thesis we implemented an encoder and a decoder based on an Alamouti algorithm in a MISO system namely to be added to an OFDM transceiver that follows closely the LTE physical layer specifications. Alamouti coding/decoding is performed in frequency and space and the blocks were projected and simulated in Matlab using Simulink environment through the Xilink's blocks in the System Generator for DSP. One can conclude that the blocks based on Alamouti algorithm were well-implemented.
El, chall Rida. "Récepteur itératif pour les systèmes MIMO-OFDM basé sur le décodage sphérique : convergence, performance et complexité". Thesis, Rennes, INSA, 2015. http://www.theses.fr/2015ISAR0019/document.
Texto completoRecently, iterative processing has been widely considered to achieve near-capacity performance and reliable high data rate transmission, for future wireless communication systems. However, such an iterative processing poses significant challenges for efficient receiver design. In this thesis, iterative receiver combining multiple-input multiple-output (MIMO) detection with channel decoding is investigated for high data rate transmission. The convergence, the performance and the computational complexity of the iterative receiver for MIMO-OFDM system are considered. First, we review the most relevant hard-output and soft-output MIMO detection algorithms based on sphere decoding, K-Best decoding, and interference cancellation. Consequently, a low-complexity K-best (LCK- Best) based decoder is proposed in order to substantially reduce the computational complexity without significant performance degradation. We then analyze the convergence behaviors of combining these detection algorithms with various forward error correction codes, namely LTE turbo decoder and LDPC decoder with the help of Extrinsic Information Transfer (EXIT) charts. Based on this analysis, a new scheduling order of the required inner and outer iterations is suggested. The performance of the proposed receiver is evaluated in various LTE channel environments, and compared with other MIMO detection schemes. Secondly, the computational complexity of the iterative receiver with different channel coding techniques is evaluated and compared for different modulation orders and coding rates. Simulation results show that our proposed approaches achieve near optimal performance but more importantly it can substantially reduce the computational complexity of the system. From a practical point of view, fixed-point representation is usually used in order to reduce the hardware costs in terms of area, power consumption and execution time. Therefore, we present efficient fixed point arithmetic of the proposed iterative receiver based on LC-KBest decoder. Additionally, the impact of the channel estimation on the system performance is studied. The proposed iterative receiver is tested in a real-time environment using the MIMO WARP platform
Libros sobre el tema "MIMO decoder"
Barnard, Nicholas. El libro del bricolaje: Técnicas y diseños para decorar la casa. [Barcelona?]: Ediciones Primera Plana, 2000.
Buscar texto completoCapítulos de libros sobre el tema "MIMO decoder"
Wang, Hongzhi, Pierre Leray y Jacques Palicot. "A Reconfigurable Architecture for MIMO Square Root Decoder". En Reconfigurable Computing: Architectures and Applications, 317–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11802839_40.
Texto completoBudihal, Suneeta V., Rashmi Hiremath y R. M. Banakar. "Performance of Sphere Decoder for MIMO System Using LLL Algorithm". En Lecture Notes in Electrical Engineering, 517–24. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_53.
Texto completoGuo, Lei, Shirong Zeng, Yong Dou y Jingfei Jiang. "A Full-Pipelined Architecture of the Schnorr-Euchner MIMO Sphere Decoder". En Lecture Notes in Electrical Engineering, 17–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55038-6_3.
Texto completoGupta, Sakar y Sunita Gupta. "Complexity Analysis of Multiuser Detection Schemes Based on Sphere Decoder for MIMO Wireless Communication System". En Advances in Intelligent Systems and Computing, 587–98. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5687-1_53.
Texto completoFilippi, Morris, Andrea F. Cattoni, Yannick Le Moullec y Claudio Sacchi. "SDR Implementation of a Low Complexity and Interference-Resilient Space-Time Block Decoder for MIMO-OFDM Systems". En Multiple Access Communications, 119–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23795-9_11.
Texto completoAbbas, Karim. "Advanced Issues in Migrating to Hardware: MIMO Decoders as Case Studies". En From Algorithms to Hardware Architectures, 345–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08693-9_10.
Texto completoBindu, E. y B. V. R. Reddy. "Optimized Power Allocation in Selective Decode and Forward Cooperative Wireless Relay Communication with MIMO Nodes". En Communications in Computer and Information Science, 93–106. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5992-7_8.
Texto completoS., Muhammad, Mohamed M. y S. E.-D. "Efficient Implementation of MIMO Decoders". En MIMO Systems, Theory and Applications. InTech, 2011. http://dx.doi.org/10.5772/14536.
Texto completoAndrade, Fernando Oliveira de. "Prefácio do livro: Fetch em Lagos e Reservatórios". En Fetch em Lagos e Reservatórios, 12–13. Bookerfield Editora, 2021. http://dx.doi.org/10.53268/bkf2011110398.
Texto completoActas de conferencias sobre el tema "MIMO decoder"
Ouertani, Rym, Ghaya Rekaya Ben-Othman y Jean-Claude Belfiore. "An Adaptive MIMO Decoder". En 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073376.
Texto completoChavali, Nanda Kishore y B. Kranti Kumar. "A reduced complexity MIMO decoder". En 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091411.
Texto completoShirwal, Vijaykumar S. y Mahesh S. Chavan. "Implementation aspect of MIMO decoder". En 2014 IEEE Global Conference on Wireless Computing and Networking (GCWCN). IEEE, 2014. http://dx.doi.org/10.1109/gcwcn.2014.7030848.
Texto completoVordonis, Dimitris y Vassilis Paliouras. "Sphere Decoder for Massive MIMO Systems". En 2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC). IEEE, 2019. http://dx.doi.org/10.1109/norchip.2019.8906929.
Texto completoKumar, Satish, Anurag Singh y Rajarshi Mahapatra. "Deep Learning Based Massive-MIMO Decoder". En 2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 2019. http://dx.doi.org/10.1109/ants47819.2019.9118152.
Texto completoWang, Hongzhi, Jean-Philippe Delahaye, Pierre Leray y Jacques Palicot. "Managing dynamic reconfiguration on MIMO Decoder". En 2007 IEEE International Parallel and Distributed Processing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ipdps.2007.370387.
Texto completoZhi Quan, Yuriy Zakharov y Junruo Zhang. "Multiple phase decoder for MIMO systems". En 2008 42nd Asilomar Conference on Signals, Systems and Computers. IEEE, 2008. http://dx.doi.org/10.1109/acssc.2008.5074728.
Texto completoMejri, Asma y Ghaya Rekaya-Ben Othman. "Reduced-Complexity Stack Decoder for MIMO Systems". En 2015 IEEE 81st Vehicular Technology Conference (VTC Spring). IEEE, 2015. http://dx.doi.org/10.1109/vtcspring.2015.7146047.
Texto completoRajeshwari, B. y K. Veena. "MIMO receiver and decoder using vector processor". En TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8228044.
Texto completoShao, Z. Y., S. W. Cheung y T. I. Yuk. "An optimum Geometric decoder for MIMO systems". En Exhibition, "Innovative Engineering for Sustainable Environment". IEEE, 2009. http://dx.doi.org/10.1109/ieeegcc.2009.5734289.
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