Bibliografías temáticas / V-BLAST ARCHITECTURE

Literatura académica sobre el tema "V-BLAST ARCHITECTURE"

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Publicado: 11 de septiembre de 2023

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Artículos de revistas sobre el tema "V-BLAST ARCHITECTURE"

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Koike-Akino, Toshiaki. "Low-complexity systolic V-BLAST architecture". IEEE Transactions on Wireless Communications 8, n.º 5 (mayo de 2009): 2172–76. http://dx.doi.org/10.1109/twc.2009.070498.

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Nigam, Harshal, Abhinandan Jain, Neeraj Jain, Monika Mathur y Mukesh Arora. "Performance Analysis of 2x2 MIMO using V-BLAST Coding Architecture". International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, n.º 2 (17 de abril de 2021): 49–54. http://dx.doi.org/10.37082/ijirmps.2021.v09i02.008.

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3

Sobhanmanesh, F. y S. Nooshabadi. "Parametric minimum hardware QR-factoriser architecture for V-BLAST detection". IEE Proceedings - Circuits, Devices and Systems 153, n.º 5 (2006): 433. http://dx.doi.org/10.1049/ip-cds:20060060.

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Gao, Qiubin, Xian-Da Zhang, Jian Li y Wei Shi. "Linear precoding and finite rate feedback design for V-BLAST architecture". IEEE Transactions on Wireless Communications 7, n.º 12 (diciembre de 2008): 4976–86. http://dx.doi.org/10.1109/t-wc.2008.070803.

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Tsiligkaridis, Theodoros y Douglas L. Jones. "PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems". Journal of Electrical and Computer Engineering 2010 (2010): 1–5. http://dx.doi.org/10.1155/2010/930368.

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The V-BLAST wireless communication architecture, space-time block code (STBC), and space-frequency block code (SFBC) techniques are strong candidates for achieving very high data rates in 4G broadband wireless communications. This paper extends the efficient Active Constellation Extension Smart Gradient-Project (ACE-SGP) peak-to-average power (PAPR) reduction method to STBC, SFBC, and V-BLAST systems. Simulation results show 4.19 and 3.57 dB of PAPR reduction for the Alamouti STBC and SFBC, respectively.
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6

Guo, Zhan y Peter Nilsson. "A VLSI Architecture of the Square Root Algorithm for V-BLAST Detection". Journal of VLSI signal processing systems for signal, image and video technology 44, n.º 3 (28 de julio de 2006): 219–30. http://dx.doi.org/10.1007/s11265-006-8536-8.

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7

Meng-Ying Tsai y S. Yousefi. "A New Iterative Joint Detection and Decoding Algorithm for V-BLAST Architecture". IEEE Signal Processing Letters 16, n.º 10 (octubre de 2009): 905–8. http://dx.doi.org/10.1109/lsp.2009.2026207.

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LIU, JIANGUO y LUXI YANG. "TRANSMIT ANTENNA SELECTION FOR V-BLAST MIMO SYSTEM BASED ON EXTENDED CHANNEL MATRIX ANALYSIS". Journal of Circuits, Systems and Computers 17, n.º 02 (abril de 2008): 253–62. http://dx.doi.org/10.1142/s0218126608004228.

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For the sake of reducing the hardware cost of multiple RF chains and the complexity for spatial multiplexing systems, in this paper a novel low-complexity transmit antenna selection criterion is proposed for V-BLAST system with MMSE OSIC detection. Based on MMSE extension of V-BLAST with sorted QR decomposition, an intuitional performance analysis of each sub-stream for MMSE V-BLAST transmission is done, and a new solution to the transmit antenna selection problem is suggested. Unlike most of the existing works, the proposed algorithm synthetically considers the impacts of detection order, interference cancellation, and noise amplification. Theoretical analysis and simulation results show that the proposed algorithm achieves well both in outage capacity and in symbol error rate performance with low computational complexity.
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9

Cervantes-Lozano, Pedro, Luis F. González-Pérez y Andrés D. García-García. "A VLSI Architecture for the V-BLAST Algorithm in Spatial-Multiplexing MIMO Systems". Journal of Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/534735.

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This paper presents a VLSI architecture for the suboptimal hard-output Vertical-Bell Laboratories Layered Space-Time (V-BLAST) algorithm in the context of Spatial Multiplexing Multiple-Input Multiple-Output (SM-MIMO) systems immersed in Rayleigh fading channels. The design and implementation of its corresponding data-path and control-path components over FPGA devices are considered. Results on synthesis, bit error rate performance, and data throughput are reported.
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10

Golden, G. D., C. J. Foschini, R. A. Valenzuela y P. W. Wolniansky. "Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture". Electronics Letters 35, n.º 1 (1999): 14. http://dx.doi.org/10.1049/el:19990058.

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Tesis sobre el tema "V-BLAST ARCHITECTURE"

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Tade, Foluwaso Olunkunle. "Receiver architectures for MIMO wireless communication systems based on V-BLAST and sphere decoding algorithms". Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/6400.

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Modern day technology aspires to always progress. This progression leads to a lot of research in any significant area of improvement. There is a growing amount of end-users in the wireless spectrum which has led to a need for improved bandwidth usage and BER values. In other words, new technologies which would increase the capacity of wireless systems are proving to be a crucial point of research in these modern times. Different combinations of multiuser receivers are evaluated to determine performance under normal working conditions by comparing their BER performance charts. Multiple input, multiple output (MIMO) systems are incorporated into the system to utilise the increased capacity rates achievable using the MIMO configuration. The effect of MIMO on the technologies associated with modern day technological standards such as CDMA and OFDM have been investigated due to the significant capacity potentials these technologies normally exhibit in a single antenna scenario. An in-depth comparison is established before comparison is made with a conventional maximum likelihood (ML) detector. The complexity of the ML detector makes its realization evaluated in such a manner to achieve the same or near ML solution but with lower computational complexity. This was achieved using a proposed modification of the Schnorr-Euchner Sphere decoding algorithm (SE-SDA). The proposed sphere decoder (P-SD) adopts a modification of the radius utilised in the SE-SDA to obtain a near ML solution at a much lower complexity compared to the conventional ML decoder. The P-SD was configured to work in different MIMO antenna configurations. The need for the highest possible data rates from the available limited spectrum led to my research into the multi-user detection scenario and MIMO.
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MEENA, RATANDEEP. "HIGH PERFORMANCE DETECTION METHOD USING MEMO TECHNOLOGY AND V-BLAST ARCHITECTURE". Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15663.

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In this paper, we investigate the QR-OSIC receiver design for the transmitter side power allocated MIMO system. Based on the properties of the function and ordering results, we develop the efficient ordering algorithms in combination with the PA scheme. From the convexity of the function, we derive the ordering strategy that makes the channel gains converge to their geometric mean. Based on this approach, the fixed ordering algorithm if first designed, for which the geometric mean is used for constant threshold. To further improve the performance, the modified scheme employing adaptive thresholds is developed using the correlation among ordering results. Theoretical analysis and simulation results show that proposed ordering schemes using QR-decomposition not only require a reduced computational complexity compared to the conventional scheme, but result in improved error performance.
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3

Nanji, Tariq. "Reduction of Implementation Complexity in MIMO-OFDM Decoding for V-BLAST Architecture". Thesis, 2010. http://hdl.handle.net/10012/5388.

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This dissertation documents alternative designs of the Zero Forcing decoding algorithm with Successive Interference Cancellation (ZF-SIC) for use in Vertical Bell Laboratories Layered Space Time Architecture (V-BLAST) Multiple Input Multiple Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems, in an effort to reduce the computational complexity of the receiver. The development of a wireless platform utilizing this architecture intended for use in an indoor wireless multipath environment was created to analyze the multipath environment. This implementation is the result of efforts from several individuals within the CST group. My contributions are documented in this dissertation. In order to obtain channel state information (CSI), a training sequence is sent with each incoming frame. A pseudo-inverse operation is performed on the channel matrix and applied to each OFDM symbol that was received. Performing this operation on each tone and across each OFDM symbol is computationally inefficient in a MIMO configuration. If the number of pseudo-inverses can be reduced while maintaining acceptable levels of bit error, the processing time of each frame can be decreased. Traditionally, tests of the performance of ZF-SIC have been conducted with simulations modelling a multipath channel. In this thesis, CSI is observed using an open loop platform developed for MIMO-OFDM communications. The rate of change of the channel is observed for different multipath environments. The proposed methods of decoding require modifications to ZF-SIC. The suggested changes are only applicable to a MIMO OFDM based method of data transmission. The most effective method of reducing decoding complexity and maintaining an acceptable number of bit errors was observed to occur in the time domain rather than in the frequency domain. For selecting frames and averaging frames in the time domain it was determined that the optimal number of OFDM symbols per frame is 1932 and 174, respectively.
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Actas de conferencias sobre el tema "V-BLAST ARCHITECTURE"

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Bhojak, V. y A. Sharma. "MIMO Wireless Systems: V-BLAST Architecture". En 2013 Third International Conference on Advanced Computing & Communication Technologies (ACCT 2013). IEEE, 2013. http://dx.doi.org/10.1109/acct.2013.56.

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Ta Duc Tuyen. "V-BLAST architecture in fading Rayleigh channel". En 2008 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2008. http://dx.doi.org/10.1109/atc.2008.4760624.

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Wu, You, Kuixi Yin, Hua Zhao y Xuejun Liu. "MIMO-OCWDM System Using V-BLAST Architecture". En 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.741.

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Dongfeng Zhao y Daoben Li. "A modified decoding algorithm of V-BLAST Architecture". En 2008 Third International Conference on Communications and Networking in China. IEEE, 2008. http://dx.doi.org/10.1109/chinacom.2008.4685073.

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Zhao, Dongfeng y Daoben Li. "A Modified Soft-Decision Algorithm of V-BLAST Architecture". En 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2008. http://dx.doi.org/10.1109/wicom.2008.205.

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Xiao Guojun, Kuang Jingming y Liu Jiakang. "Different constellations mapping between layers in V-BLAST architecture". En Signal Processing with Special Track on Biomedical Engineering (CCSP). IEEE, 2005. http://dx.doi.org/10.1109/ccsp.2005.4977193.

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Liu, Siyang, Ming Zhao, Zhendong Luo, Feifei Li y Yuanan Liu. "V-BLAST Architecture Employing Joint Iterative GPDA Detection and Decoding". En 2006 IEEE International Conference on Communications. IEEE, 2006. http://dx.doi.org/10.1109/icc.2006.255743.

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Zhang, Lei, Shaoqian Li, Hongming Zheng y May Wu. "Alamouti Code Assisted V-BLAST (ACAV): A New Space-Time Architecture". En 2006 International Conference on Communication Technology. IEEE, 2006. http://dx.doi.org/10.1109/icct.2006.341693.

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Singh, Prem, Bagadi Usha Rani, Himanshu B. Mishra y K. Vasudevan. "Neighbourhood Detection-based ZF-V-BLAST Architecture for MIMO-FBMC-OQAM Systems". En GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647242.

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Liu Yan. "Interference Aviodance Technique in MIMO V-BLAST Architecture Base on Cognitive Radio". En 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmtma.2013.165.

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