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Relevant bibliographies by topics / MIMO systems. Algorithms. Wireless communication systems

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Academic literature on the topic 'MIMO systems. Algorithms. Wireless communication systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "MIMO systems. Algorithms. Wireless communication systems"

1

Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm based on antenna arrays for radio communication systems." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 301–12. http://dx.doi.org/10.2298/sjee1703301f.

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Trends in the modern world increasingly lead to the growing popularity of wireless technologies. This is possible due to the rapid development of mobile communications, the Internet gaining high popularity, using wireless networks at enterprises, offices, buildings, etc. It requires advanced network technologies with high throughput capacity to meet the needs of users. To date, a popular destination is the development of spatial signal processing techniques allowing to increase spatial bandwidth of communication channels. The most popular method is spatial coding MIMO to increase data transmis

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Farzamnia, Ali, Ngu War Hlaing, Lillian Eda Kong, Manas Kumar Haldar, and Tohid Yousefi Rezaii. "Investigation of error performance in network coded MIMO-VBLAST wireless communication systems." Journal of Electrical Engineering 70, no. 4 (2019): 273–84. http://dx.doi.org/10.2478/jee-2019-0057.

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Abstract Paper aims to enhance the performance of bit error rate (BER) in wireless communication based on the multiple-input multiple-output (MIMO) system of vertical Bell laboratories layered space-time (VBLAST) algorithm. The VBLAST algorithm uses zero-forcing (ZF) and the minimum mean square error (MMSE) to evaluate the BER of wireless communication. MIMO VBLAST techniques function as an adaptive filter and can minimize the interference and multipath fading in the received signal of the channel. Physical layer network coding (PNC) is a new technique used to exploit the spatial diversity of

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RECIOUI, Abdelmadjid. "Capacity Optimization of MIMO Systems Involving Conformal Antenna Arrays using a Search Group Algorithm." Algerian Journal of Signals and Systems 5, no. 4 (2020): 209–14. http://dx.doi.org/10.51485/ajss.v5i4.118.

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MIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systems.

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Liu, Li, Jin Kuan Wang, Xin Song, and Yin Hua Han. "Improved Stack Algorithm for MIMO Systems." Applied Mechanics and Materials 333-335 (July 2013): 666–69. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.666.

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Multiple input multiple output (MIMO) systems could increase wireless communication system capacity enormously. The best optimal detection algorithm for MIMO systems was maximum likelihood (ML) detection algorithm, which could provide the best bit error rate (BER) performance for MIMO systems. However, the computational complexity of ML detection algorithm grew exponentially with the number of transmit antennas and the order of modulation, which resulted in difficult using for practice. A modified MIMO signal detection algorithm which combined ML detection with stack algorithm was presented in

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Vien, Nguyen Duy-Nhat. "A Beamforming Algorithm for MIMO SWIPT Systems." JOIV : International Journal on Informatics Visualization 2, no. 3 (2018): 110. http://dx.doi.org/10.30630/joiv.2.3.127.

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Efficient usage of energy resources is a growing concern in today’s communication systems. Energy harvesting is a new paradigm and allows the nodes to recharge their batteries from the environment. In this paper, we focus on the design of optimal linear beamformer for multi- input multi-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system. We formulate the problem of maximizing the information rate while keeping the energy harvested at the energy receivers above given levels. Finally, simulation results demonstrate the efﬁciency of the proposed algorithm.

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Khan, Imran, Mohammed H. Alsharif, Mohammad Haseeb Zafar, et al. "An Efficient Algorithm for mmWave MIMO Systems." Symmetry 11, no. 6 (2019): 786. http://dx.doi.org/10.3390/sym11060786.

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Efficient and Symmetry based precoding plays a key role in wireless communications. In order to improve the transmission performance of multi-user millimeter wave Multiple-Input Multiple-Output (MIMO) (MU-mmWave MIMO) systems, this paper proposes an analog precoding scheme for the receiver of mmWave MIMO with split sub-array hybrid analog and digital architecture. Then, we propose a hybrid analog and digital precoding algorithm based on channel reciprocity (APoCR) to maximize the spectral efficiency by utilizing the triple joint optimization problem, which can be divided into the analog and di

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Muramatsu, Fumiya, Kentaro Nishimori, Ryotaro Taniguchi, Takefumi Hiraguri, and Tsutomu Mitsui. "Evaluation of Multi-Beam Massive MIMO Considering MAC Layer Using IEEE802.11ac and FDD-LTE." Electronics 8, no. 2 (2019): 225. http://dx.doi.org/10.3390/electronics8020225.

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Massive multiple-input multiple-output (MIMO) transmission has attracted attention as a key technology for use in fifth-generation mobile communication systems. Multi-beam massive MIMO systems that apply beam selection in analog components and blind algorithms in digital components to eliminate the requirement for channel state information have been proposed as a method for reducing overhead. In this study, we developed an adaptive modulation scheme for implementing multi-beam massive MIMO and used computer simulation to compare it with digital and analog–digital hybrid beam-forming methods. T

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Gimmler-Dumont, Christina, Frank Kienle, Bin Wu, and Guido Masera. "A System View on Iterative MIMO Detection: Dynamic Sphere Detection versus Fixed Effort List Detection." VLSI Design 2012 (April 22, 2012): 1–14. http://dx.doi.org/10.1155/2012/826350.

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Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatial multiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatial multiplexing. The major difference between different MIMO detectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back from the channel d

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J, Sivasankari, Sridevi B, and Mahima L. "Optimization of Massive MIMO-OFDM Systems for PAPR Reduction." Bulletin of Scientific Research 2, no. 2 (2020): 29–35. http://dx.doi.org/10.34256/bsr2024.

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Of late there has been an increase in use of wireless communication system. The recent approach used is Massive-MIMO technology. But in the current scenario where spectrum is limited, the demand for high data degrades the quality of services. Therefore, OFDM system was proposed. Though coupling OFDM system with MIMO can further improve the performance of next generation wireless systems, there are certain issues like antenna design, channel estimation, PAPR etc. which requires due consideration. Amongst them, PAPR is the major problem that contributes high in performance degradation. To overco

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Dr. V. Arthi. "A Novel Channel Estimation Technique in MIMO-OFDM Mobile Communication Systems." International Journal of New Practices in Management and Engineering 9, no. 02 (2020): 08–14. http://dx.doi.org/10.17762/ijnpme.v9i02.84.

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4G Wireless communication systems have the inherent capability to foster the multimedia services in terms of bandwidth and data rate. These systems have very high integrity compared to the conventional wireless communication systems. It can fully support extended multimedia services with High Definition quality, audio and video files. Wireless internet and other broad band services provided superior quality signal transmission and reception. The degree of freedom enjoyed by the technology in terms of scalability and reliability is highly commendable. Any basic wireless transmitter sends inform

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Dissertations / Theses on the topic "MIMO systems. Algorithms. Wireless communication systems"

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Zheng, Gan. "Optimization in linear multiuser MIMO systems." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39557923.

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Zheng, Gan, and 鄭淦. "Optimization in linear multiuser MIMO systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39557923.

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Shao, Ziyun, and 邵子韵. "Design and analysis of detection algorithms for MIMO wireless communication systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47752804.

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The increasing demand for high-mobility and high data rate in wireless communications results in constraints and problems in the limited radio spectrum, multipath fading, and delay spread. The multiple-input multiple-output (MIMO) system has been generally considered as one of the key technologies for the next generation wireless communication systems. MIMO systems which utilize multiple antennas in both the transmit side and the receive side can overcome the abovementioned challenges since they are able to increase the channel capacity and the spectrum usage efficiency without the ne

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Peng, Wei. "Non-linear detection algorithms for MIMO multiplexing systems." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/HKUTO/record/B39558563.

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Peng, Wei, and 彭薇. "Non-linear detection algorithms for MIMO multiplexing systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39558563.

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Chan, Tsz Ho. "Link adaptation algorithms for MIMO-based WiMAX systems /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20CHANT.

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Roger, Varea Sandra. "Design and Implementation of Efficient Algorithms for Wireless MIMO Communication Systems." Doctoral thesis, Universitat Politècnica de València, 2012. http://hdl.handle.net/10251/16562.

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En la última década, uno de los avances tecnológicos más importantes que han hecho culminar la nueva generación de banda ancha inalámbrica es la comunicación mediante sistemas de múltiples entradas y múltiples salidas (MIMO). Las tecnologías MIMO han sido adoptadas por muchos estándares inalámbricos tales como LTE, WiMAS y WLAN. Esto se debe principalmente a su capacidad de aumentar la máxima velocidad de transmisión , junto con la fiabilidad alcanzada y la cobertura de las comunicaciones inalámbricas actuales sin la necesidad de ancho de banda extra ni de potencia de transmisión adicional. Si

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Gestner, Brian Joseph. "Lattice reduction for MIMO detection: from theoretical analysis to hardware realization." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39591.

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The objective of the dissertation research is to understand the complex interaction between the algorithm and hardware aspects of symbol detection that is enhanced by lattice reduction (LR) preprocessing for wireless MIMO communication systems. The motivation for this work stems from the need to improve the bit-error-rate performance of conventional, low-complexity detectors while simultaneously exhibiting considerably reduced complexity when compared to the optimal method, maximum likelihood detection. Specifically, we first develop an understanding of the complex Lenstra-Lenstra-Lovász (CLLL

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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, m

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Zhao, Chunming. "Distortion-based crest factor reduction algorithms in multi-carrier transmission systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/26525.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Zhou, G. Tong; Committee Member: Kenney, J. Stevenson; Committee Member: Li, Ye (Geoffrey); Committee Member: Ma, Xiaoli; Committee Member: Yuan, Ming. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Books on the topic "MIMO systems. Algorithms. Wireless communication systems"

1

MIMO signals and systems. Springer, 2005.

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MIMO: From theory to implementation. Academic Press, 2010.

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Duman, Tolga M. Coding for MIMO communication systems. J. Wiley & Sons, 2007.

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Huang, Howard C. MIMO for multiuser wireless systems: Theory and applications. Springer, 2008.

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Tran, Le Chung. Complex orthogonal space-time processing in wireless communications. Springer, 2011.

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MIMO-OFDM wireless communications with MATLAB. IEEE Press, 2010.

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Brown, Tim. Practical guide to the MIMO radio channel with MATLAB examples. Wiley, 2012.

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Chongchun, Liu, ed. Duo ru duo chu tong xin xi tong yuan li. Ke xue chu ban she, 2010.

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Bruno, Clerckx, ed. MIMO wireless communications: From real-world propagation to space-time code design. Elsevier, 2007.

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Oestges, Claude. MIMO wireless communications: From real-world propagation to space-time code design. Elsevier, 2007.

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Book chapters on the topic "MIMO systems. Algorithms. Wireless communication systems"

1

Liu, Li, Jinkuan Wang, Dongmei Yan, Ruiyan Du, and Bin Wang. "Improved Stack Algorithm for MIMO Wireless Communication Systems." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18134-4_94.

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Moreira, Darlan C., Walter C. Freitas, Cibelly A. de Araújo, and Charles C. Cavalcante. "Link Adaptation for MIMO-OFDM Systems." In Optimizing Wireless Communication Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_10.

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Dinh, Son, Hang Liu, and Feng Ouyang. "Massive MIMO Cognitive Cooperative Relaying." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23597-0_8.

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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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da Silva, Ícaro L. J., André L. F. de Almeida, Francisco R. P. Cavalcanti, and Gérard Favier. "MIMO Transceiver Design for Enhanced Performance Under Limited Feedback." In Optimizing Wireless Communication Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_12.

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Liu, Hang, Chinh Tran, Jan Lasota, Son Dinh, Xianfu Chen, and Feng Ouyang. "Massive MIMO Power Allocation in Millimeter Wave Networks." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94268-1_25.

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Xia, Changqing, Xi Jin, Jintao Wang, Linghe Kong, and Peng Zeng. "Scheduling for MU-MIMO Wireless Industrial Sensor Networks." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60033-8_18.

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Khafaji, Mohammed Jasim, and Maciej Krasicki. "Genetic-Algorithm-Driven MIMO Multi-user Detector for Wireless Communications." In Contemporary Complex Systems and Their Dependability. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91446-6_25.

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de Almeida, A. L. F., G. Favier, and J. C. M. Mota. "Multiuser MIMO Systems Using Space–Time–Frequency Multiple-Access PARAFAC Tensor Modeling." In Optimizing Wireless Communication Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0155-2_11.

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Qin, Yi, Ming Ding, and Hanwen Luo. "Optimal Precoding for Bi-directional MIMO Transmission with Network Coding." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23490-3_29.

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Conference papers on the topic "MIMO systems. Algorithms. Wireless communication systems"

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de Kerret, Paul, and David Gesbert. "MIMO interference alignment algorithms with hierarchical CSIT." In 2012 9th International Symposium on Wireless Communication Systems (ISWCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iswcs.2012.6328434.

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Schmidt, David A., and Wolfgang Utschick. "Algorithms for improper single-stream MIMO interference networks." In 2011 8th International Symposium on Wireless Communication Systems (ISWCS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iswcs.2011.6125349.

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Ahrens, Andreas, and Steffen Lochmann. "Polynomial matrix algorithms for broadband optical MIMO systems." In 2016 Advances in Wireless and Optical Communications (RTUWO). IEEE, 2016. http://dx.doi.org/10.1109/rtuwo.2016.7821849.

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Li, Sheng, Yao Cheng, Jianshu Zhang, et al. "Efficient spatial scheduling and precoding algorithms for MC MU MIMO systems." In 2012 9th International Symposium on Wireless Communication Systems (ISWCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iswcs.2012.6328464.

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Beinschob, Patric, Matthias Lieberei, and Udo Zolzer. "An error propagation prevention method for MIMO-OFDM RLS-DDCE-algorithms." In 2009 6th International Symposium on Wireless Communication Systems (ISWCS 2009). IEEE, 2009. http://dx.doi.org/10.1109/iswcs.2009.5285318.

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Pastor-Perez, Javier, Felip Riera-Palou, and Guillem Femenias. "Evolutionary algorithms for multiobjective optimization of frequency reuse schemes in CoMP-based MIMO-OFDMA networks." In 2016 International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2016. http://dx.doi.org/10.1109/iswcs.2016.7600907.

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Hellings, Christoph, and Wolfgang Utschick. "Carrier-cooperative transmission in parallel MIMO broadcast channels: Potential gains and algorithms." In 2011 8th International Symposium on Wireless Communication Systems (ISWCS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iswcs.2011.6125267.

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Xiong, Chun-Lin, De-Gang Wang, Xiao-Ying Zhang, Ji-Bo Wei, and Chao-Jing Tang. "Recursive Channel Estimation Algorithms for Iterative Receiver in MIMO-OFDM Systems." In 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009. http://dx.doi.org/10.1109/wcnc.2009.4917936.

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Chung-Jung Huang, Chih-Yung Wu, and Ta-Sung Lee. "Geometry based efficient decoding algorithms for underdetermined MIMO systems." In 2011 IEEE 12th Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2011). IEEE, 2011. http://dx.doi.org/10.1109/spawc.2011.5990436.

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Torres, J., V. Morillo-Velarde, B. Soret, M. C. Aguayo-Torres, and J. T. Entrambasaguas. "Cross-layer user multiplexing algorithms evaluation in MIMO OFDM wireless systems." In 2007 16th IST Mobile and Wireless Communications Summit. IEEE, 2007. http://dx.doi.org/10.1109/istmwc.2007.4299286.

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