Готові списки джерел за темами / Wireless MIMO Communications

Добірка наукової літератури з теми "Wireless MIMO Communications"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Wireless MIMO Communications"

1

Dr.Raad.H., Thaher. "Environmental Analysis of MIMO Channel Capacity Under Variable." مجلة جامعة الملكة أروى العلمية المحكمة 1, no. 7 (December 30, 2011): 24. http://dx.doi.org/10.58963/qausrj.v1i7.45.

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Анотація:
Digital communication using MIMO has been one of the most promising research areas in wireless communictions nowadays as it offers a lot of promises for future wireless communications .MIMO seems to be the only technology that is advancing the wireless industry from 3Gto 4G systems .I n this work MIMO system has been studied in great detail and simulated for different cases and it was concentrated on the performance of its capacity under several environmental conditions . MIMO system offer significant gains in performance over traditional wireless communication systems . Spatial multiplexing increases system throughput without consuming frquency spectrum and spatial diversity make the link more robust .MIMO system was described was described and simulation results were presented and discussed. Multiple antenna techniques are a key to boosting the performance of modern wireless systems.Key words: MIMO, spatial multiplexing, capacity, diversity,SNR
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2

Stuber, G. L., J. R. Barry, S. W. McLaughlin, Ye Li, M. A. Ingram, and T. G. Pratt. "Broadband MIMO-OFDM wireless communications." Proceedings of the IEEE 92, no. 2 (February 2004): 271–94. http://dx.doi.org/10.1109/jproc.2003.821912.

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3

Haykin, S., M. Sellathurai, Y. de Jong, and T. Willink. "Turbo-MIMO for wireless communications." IEEE Communications Magazine 42, no. 10 (October 2004): 48–53. http://dx.doi.org/10.1109/mcom.2004.1341260.

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4

Sejan, Mohammad Abrar Shakil, Md Habibur Rahman, Md Abdul Aziz, Dong-Sun Kim, Young-Hwan You, and Hyoung-Kyu Song. "A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends." Sensors 23, no. 2 (January 9, 2023): 739. http://dx.doi.org/10.3390/s23020739.

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.
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5

Nguyen, Hoang, Johnson I. Agbinya, and John Devlin. "Channel Characterisation and Link Budget of MIMO Configuration in Near Field Magnetic Communication." International Journal of Electronics and Telecommunications 59, no. 3 (September 1, 2013): 255–62. http://dx.doi.org/10.2478/eletel-2013-0030.

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Abstract Traditional radio communication has gained significantly from using multiple input and multiple output (MIMO) architecture in the system. Many wireless applications, such as wireless LAN and cellular network, have adopted this technology to improve their system performance. However, the effect of MIMO systems has not been investigated in the case of inductive near field short range communications. The purpose of this paper is to explore a new method for increasing the magnetic communication range using MIMO. Three system models includingMISO, SIMO and MIMO are proposed to characterize the number of transmitters and receivers to the link. These models have helped to extend not only the range but also the communication channel in NFMIC.
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6

Sun, Y. "Editorial: MIMO wireless and mobile communications." IEE Proceedings - Communications 153, no. 4 (2006): 475. http://dx.doi.org/10.1049/ip-com:20069019.

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7

Gu, X., X. H. Peng, and G. C. Zhang. "MIMO systems for broadband wireless communications." BT Technology Journal 24, no. 2 (April 2006): 90–96. http://dx.doi.org/10.1007/s10550-006-0044-7.

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8

Bhatt, Maharshi K., Bhavin S. Sedani, and Komal Borisagar. "Performance analysis of massive multiple input multiple output for high speed railway." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5180. http://dx.doi.org/10.11591/ijece.v11i6.pp5180-5188.

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This paper analytically reviews the performance of massive multiple input multiple output (MIMO) system for communication in highly mobility scenarios like high speed Railways. As popularity of high speed train increasing day by day, high data rate wireless communication system for high speed train is extremely required. 5G wireless communication systems must be designed to meet the requirement of high speed broadband services at speed of around 500 km/h, which is the expected speed achievable by HSR systems, at a data rate of 180 Mbps or higher. Significant challenges of high mobility communications are fast time-varying fading, channel estimation errors, doppler diversity, carrier frequency offset, inter carrier interference, high penetration loss and fast and frequent handovers. Therefore, crucial requirement to design high mobility communication channel models or systems prevails. Recently, massive MIMO techniques have been proposed to significantly improve the performance of wireless networks for upcoming 5G technology. Massive MIMO provide high throughput and high energy efficiency in wireless communication channel. In this paper, key findings, challenges and requirements to provide high speed wireless communication onboard the high speed train is pointed out after thorough literature review. In last, future research scope to bridge the research gap by designing efficient channel model by using massive MIMO and other optimization method is mentioned.
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9

Wang, Qian, Ning Mu, LingLi Wang, Safieddin Safavi-Naeini, and JingPing Liu. "5G MIMO Conformal Microstrip Antenna Design." Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7616825.

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With the development of wireless communication technology, 5G will develop into a new generation of wireless mobile communication systems. MIMO (multiple-input multiple-output) technology is expected to be one of the key technologies in the field of 5G wireless communications. In this paper, 4 pairs of microstrip MIMO conformal antennas of 35 GHz have been designed. Eight-element microstrip Taylor antenna array with series-feeding not only achieves the deviation of the main lobe of the pattern but also increases the bandwidth of the antenna array and reduces sidelobe. MIMO antennas have been fabricated and measured. Measurement results match the simulation results well. The return loss of the antenna at 35 GHz is better than 20 dB, the first sidelobe level is −16 dB, and the angle between the main lobe and the plane of array is 60°.
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10

Saini, Mehak, and Surender K. Grewal. "Transmit Antenna Selection Methods For Mimo Systems In Wireless Communications." Journal of University of Shanghai for Science and Technology 23, no. 08 (August 16, 2021): 523–31. http://dx.doi.org/10.51201/jusst/21/08424.

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Анотація:
Though MIMO systems improve performance of a wireless communication network by the usage of multiple antennas, demand of distinct set of RF chain (i.e., electronic components required for antenna transmission and reception, in wireless communication) for all the antennas leads to an increase in complexity and cost. Antenna selection technique of MIMO has proved to be a good means to solve this issue. Antenna Selection methods find optimal number of antennas required out of the total antennas present in the MIMO (Multiple Input Multiple Output) system. The selection of antenna can be performed at both ends of the communication network i.e., transmitter or receiver. In this paper, an overview of various Transmit Antenna Selection techniques for various MIMO systems is presented.
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Дисертації з теми "Wireless MIMO Communications"

1

Stanković, Veljko. "Multi-user MIMO wireless communications." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985258039.

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2

Chan, Wing Chau. "Performance limits of MIMO wireless communications /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?ECED%202006%20CHANW.

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3

Maharaj, Bodhaswar Tikanath Jugpershad. "MIMO channel modelling for indoor wireless communications /." Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-07292008-130655/.

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4

Sohaib, Sarmad. "Energy efficient cooperative wireless communications." Thesis, University of Manchester, 2010. https://www.research.manchester.ac.uk/portal/en/theses/energy-efficient-cooperative-wireless-communications(a852e1e2-04ad-4311-8004-53babe529e1b).html.

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Cooperative diversity exploits the broadcast nature of wireless channels and uses relays to improve link reliability. Most cooperative communication protocols are assumed to be synchronous in nature, which is not always possible in wireless communication. Also the relay nodes are assumed to be half duplex which in turn reduces the spectral efficiency. In this thesis, we first present a novel asynchronous cooperative communication protocol exploiting polarization diversity, which does not require synchronization at the relay node. Dual polarized antennas are employed at the relay node to achieve full duplex amplify-and-forward (ANF) communication. Hence the transmission duration is reduced which results into an increased throughput rate. Capacity analysis of the proposed scheme ascertains the high data rate as compared to conventional ANF. Bit error rate (BER) simulation also shows that the proposed scheme significantly outperforms both the non-cooperative single-input single-output and the conventional ANF schemes. Considering channel path loss, the proposed scheme consume less total transmission energy as compared to ANF and non-cooperative scheme in more practical distance range. Thus the proposed scheme is suitable for high rate and energy efficient relay-enabled communication. In addition to that, we also present a novel power allocation scheme for multiple relay nodes that results in efficient cooperative multiple-input multiple-output (MIMO) communication. Considering channel path loss, the total transmission energy is distributed between the source and the relay nodes. The energy distribution ratio between the relay and direct link is optimized such that the quality of received signal is maintained with minimum total transmission energy consumption. We calculate the energy distribution ratio analytically and verified it through computer simulation. With the new power allocation scheme, the system also obtains an increased channel capacity as compared to cooperative scheme with conventional equal power allocation and non-cooperative scheme. Optimal relay positioning with proposed energy allocation scheme is also explored to maximize the capacity.
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5

Kim, Kihong. "Interference Mitigation in Wireless Communications." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7647.

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The primary objective of this thesis is to design advanced interference resilient schemes for asynchronous slow frequency hopping wireless personal area networks (FH-WPAN) and time division multiple access (TDMA) cellular systems in interference dominant environments. We also propose an interference-resilient power allocation method for multiple-input-multiple-output (MIMO) systems. For asynchronous FH-WPANs in the presence of frequent packet collisions, we propose a single antenna interference canceling dual decision feedback (IC-DDF) receiver based on joint maximum likelihood (ML) detection and recursive least squares (RLS) channel estimation. For the system level performance evaluation, we propose a novel geometric method that combines bit error rate (BER) and the spatial distribution of the traffic load of CCI for the computation of packet error rate (PER). We also derived the probabilities of packet collision in multiple asynchronous FH-WPANs with uniform and nonuniform traffic patterns. For the design of TDMA receivers resilient to CCI in frequency selective channels, we propose a soft output joint detection interference rejection combining delayed decision feedback sequence estimation (JD IRC-DDFSE) scheme. In the proposed scheme, IRC suppresses the CCI, while DDFSE equalizes ISI with reduced complexity. Also, the soft outputs are generated from IRC-DDFSE decision metric to improve the performance of iterative or non-iterative type soft-input outer code decoders. For the design of interference resilient power allocation scheme in MIMO systems, we investigate an adaptive power allocation method using subset antenna transmission (SAT) techniques. Motivated by the observation of capacity imbalance among the multiple parallel sub-channels, the SAT method achieves high spectral efficiency by allocating power on a selected transmit antenna subset. For 4 x 4 V-BLAST MIMO systems, the proposed scheme with SAT showed analogous results. Adaptive modulation schemes combined with the proposed method increase the capacity gains. From a feasibility viewpoint, the proposed method is a practical solution to CCI-limited MIMO systems since it does not require the channel state information (CSI) of CCI.
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6

Dong, Lu. "MIMO Selection and Modeling Evaluations for Indoor Wireless Environments." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19767.

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Анотація:
Array-to-array, or multiple-input multiple-output (MIMO), links are known to provide extremely high spectral efficiencies in rich multipath environments, such as indoor wireless environments. The selection of a subset of receiver array antennas for a MIMO wireless link has been studied by many as a way to reduce cost and complexity in a MIMO system while providing diversity gain. Combined with a switched multi-beam beamformer, it becomes the beam selection system that can gain high signal-to-interference ratio (SIR) improvement in an interference-imited environment. The objective of this research is to evaluate the performance of low-complexity antenna or beam subset selection methods for small MIMO networks. The types of networks include (1) point-to-point MIMO links with out-of-system interference, (2)multi-user networks with a single, but possibly spatially distributed access point. We evaluate various selection techniques on measured indoor channels, which has not been done before. We propose a new practical selection metric, the peak-to-trough ratio of orthogonal frequency division multiplexing (OFDM) training symbols. We also compare antenna and beam selection on measured indoor channels under more general conditions than has previously been done. Finally, we consider some channel modeling issues associated with beamformers. We investigate the validity of three types of statistical MIMO channel models. A new beamformer is designed based on the ideal of the ``Weichselberger model.'
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7

Zhou, Quan. "Wireless Communications with MIMO Systems: Analysis and Practice." NCSU, 2006. http://www.lib.ncsu.edu/theses/available/etd-06122006-113941/.

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Multiple input multiple output (MIMO) systems using multiple transmit and receive antennas are widely considered as the vital breakthrough that will allow future wireless systems to achieve higher date rates and link reliability with limited bandwidth and power resources. In this dissertation, we address four interesting topics in the wireless MIMO systems, in both point-to-point and multiuser environments. First, in a point-to-point MIMO spatial diversity system, usually the probability distribution function (PDF) of the received SNR is rather involved, which leads to the difficulty in analyzing the average symbol error rate (SER). We provide a succinct result at the high SNR region. Second, in point-to-point wireless MIMO communications, in order to protect the transmitted data against random channel impairment, we consider the problem of link adaptation, including rate adaptation and power control to improve the system performance and guarantee certain quality of service. Third, in a multiuser MIMO wireless network, there is another form of diversity called multiuser diversity which can be exploited to increase the system throughput. By analyzing the scheduling gain (defined as the rate difference between the opportunistic scheduling and round-robin scheduling scheme), we provide a complete analysis on the interaction between the spatial diversity and multiuser diversity. Fourth, in a multiuser MIMO wireless network, we propose a crosslayer-based scheduling scheme that exploits Tomlinson-Harashima Precoding (THP) at the physical (PHY) layer to reduce the multiuser scheduling burden at the medium access control (MAC) layer. Compared with some existing scheduling schemes, the proposed scheme greatly reduces the scheduling complexity while simultaneously improves overall system performance.
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8

Michailidis, Evangelos. "MIMO antenna systems for next generation wireless communications." Thesis, University of Newcastle Upon Tyne, 2011. http://hdl.handle.net/10443/1234.

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Multiple Input Multiple Output wireless communications systems require as the name implies multiple antennas at the transmit and receive side of a link, as all multiple elements operationally occupy the same spectrum, the capacity of carrying information is increased with no increase in the transmission bandwidth or power. Antennas destined for MIMO systems need to address the issue of adequate isolation between elements and the issue of the diversity performance of the array, these issues become challenging for mobile terminals. In this thesis dual band arrays for the mobile and the access point are proposed along with dual band mutual coupling reduction and radiation pattern improvement methods. First a dual band two element printed inverted F stacked monopole array is proposed for the mobile terminal. The single elements in the array are easily tuneable and achieve impedance matching from an open stub. The configuration is compact, with radiators distanced at 0.13λ0. By use of a grid of parasitically coupled printed lines mutual coupling is reduced by 9dB, where at the lower band at 2.4GHz, S12 = −18dB. Then a dual band two element printed dipole array is proposed for a pico–micro cell access point. The dipoles are fed by a printed balun which provides wide impedance bandwidth at two bands. To improve the radiation pattern at both frequencies the array is positioned above a dual band frequency selective surface, acting as an artificial magnetic conductor, thus allowing the screen to be placed 0.03λ0 from the array while maintaining good radiation efficiency. Finally a brief discussion of dual band surface wave suppression for printed antennas is presented. Here it is suggested that the surface waves can be eliminated by a superstrate at one band and by an EBG lattice at the second band. Initial experiments with different size superstrates and three periods of mushroom type EBG, show that mutual coupling can be reduced and the radiation pattern can be modified.
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9

So, Daniel Ka Chun. "MIMO wireless communications in frequency selective fading channels /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20SO.

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Анотація:
Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2003.
Includes bibliographical references (leaves 136-144). Also available in electronic version. Access restricted to campus users.
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10

Jensen, Michael A., and Michael D. Rice. "SPACE-TIME CODING FOR WIRELESS COMMUNICATIONS." International Foundation for Telemetering, 2002. http://hdl.handle.net/10150/605605.

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International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California
Signal fading and intersymbol interference created by multipath propagation have traditionally limited the throughput on wireless communications systems. However, recent research has demonstrated that by using multiple antennas on both transmit and receive ends of the link, the multipath channel can actually be exploited to achieve increased communication throughput over single-antenna systems. This paper provides an introductory description of such multi-antenna communications systems, focusing on basic explanations of how they achieve capacity gains. Computed and measured capacity results are used to demonstrate the potential of these systems.
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Книги з теми "Wireless MIMO Communications"

1

Ezio, Biglieri, ed. MIMO wireless communications. Cambridge: Cambridge University Press, 2007.

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2

Kühn, Volker. Wireless Communications over MIMO Channels. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470034602.

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3

Kuhn, Volker. Wireless Communications over MIMO Channels. New York: John Wiley & Sons, Ltd., 2006.

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4

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

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5

1968-, Tsoulos George V., ed. MIMO system technology for wireless communications. Boca Raton [Fla.]: Taylor & Francis, 2006.

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6

Mohammadi, Abbas, and Fadhel M. Ghannouchi. RF Transceiver Design for MIMO Wireless Communications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27635-4.

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7

Cho, Yong Soo, Jaekwon Kim, Won Young Yang, and Chung G. Kang. MIMO-OFDM Wireless Communications with MATLAB®. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470825631.

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8

Mohammadi, Abbas. RF Transceiver Design for MIMO Wireless Communications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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9

Chiueh, Tzi-Dar, Pei-Yun Tsai, and I.-Wei Lai. Baseband Receiver Design for Wireless MIMO-OFDM Communications. Singapore: John Wiley & Sons Singapore Pte. Ltd., 2012. http://dx.doi.org/10.1002/9781118188194.

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10

Chiueh, Tzi-Dar. Baseband receiver design for wireless MIMO-OFDM communications. 2nd ed. Hoboken, N.J: Wiley, 2012.

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Частини книг з теми "Wireless MIMO Communications"

1

Mohammadi, Abbas, and Fadhel M. Ghannouchi. "MIMO Wireless Communications." In RF Transceiver Design for MIMO Wireless Communications, 9–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27635-4_2.

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2

Safari, Majid. "MIMO Free-Space Optical Communication." In Optical Wireless Communications, 231–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30201-0_11.

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3

Ovchinnikov, Andrei, and Sergei Semenov. "MIMO." In Modulation and Coding Techniques in Wireless Communications, 301–49. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470976777.ch8.

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Rao, K. Deergha. "MIMO System." In Channel Coding Techniques for Wireless Communications, 385–421. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0561-4_11.

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Deergha Rao, K. "MIMO System." In Channel Coding Techniques for Wireless Communications, 325–54. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2292-7_10.

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Djordjevic, Ivan B. "Diversity and MIMO Techniques." In Advanced Optical and Wireless Communications Systems, 575–668. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63151-6_8.

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Djordjevic, Ivan B. "Diversity and MIMO Techniques." In Advanced Optical and Wireless Communications Systems, 449–527. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98491-5_8.

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Mohammadi, Abbas, and Fadhel M. Ghannouchi. "Transmitter Design for MIMO Wireless Communications." In RF Transceiver Design for MIMO Wireless Communications, 129–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27635-4_6.

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Mohammadi, Abbas, and Fadhel M. Ghannouchi. "Receiver Design for MIMO Wireless Communications." In RF Transceiver Design for MIMO Wireless Communications, 151–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27635-4_7.

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Dey, Abhinaba, Prabina Pattanayak, and Devendra Singh Gurjar. "Pilot Contamination in Massive MIMO Communications." In Springer Series in Wireless Technology, 21–42. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6390-4_2.

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Тези доповідей конференцій з теми "Wireless MIMO Communications"

1

Tsiligkaridis, Theodoros, Keith W. Forsythe, and David W. Browne. "Optimal communication jamming rate tradeoff for MIMO communications." In 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2015. http://dx.doi.org/10.1109/wcnc.2015.7127444.

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2

Wang, Fanggang, and Soung Chang Liew. "Wireless MIMO switching." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503806.

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3

Jensen, Michael A. "A history of MIMO wireless communications." In 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2016. http://dx.doi.org/10.1109/aps.2016.7696049.

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4

Bakhshi, Hamidreza, and Mohsen K. Hedayati. "EM-based Signal Detection for Space Time Block Coded MIMO-OFDM Systems." In Wireless Communications. Calgary,AB,Canada: ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.730-080.

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Gursoy, Mustafa Cenk. "MIMO wireless communications under statistical queueing constraints." In 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2009. http://dx.doi.org/10.1109/allerton.2009.5394864.

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Zhengqing Yun and M. F. Iskander. "MIMO capacity for realistic wireless communications environments." In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1330406.

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Wang, James, Fang-Biau Ueng, Yun-Hsuan Sung, and Hsuan-Fu Wang. "Joint Receivers for Multiuser MIMO Wireless Communications." In 2022 6th International Conference on Imaging, Signal Processing and Communications (ICISPC). IEEE, 2022. http://dx.doi.org/10.1109/icispc57208.2022.00030.

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Burg, A., M. Borgmanr, M. Wenk, C. Studer, and H. Bolcskei. "Advanced receiver algorithms for MIMO wireless communications." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.243974.

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Chambers, Pat, Xuemin Hong, Zengmao Chen, Cheng-Xiang Wang, Mark Beach, and Harald Haas. "The UC4G wireless MIMO testbed." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503805.

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Tetsuki Taniguchi, Jun-Ichi Kitagawa, and Yoshio Karasawa. "Wireless baseband transmission MIMO communication system." In 2008 4th European Conference on Circuits and Systems for Communications (ECCSC. IEEE, 2008. http://dx.doi.org/10.1109/eccsc.2008.4611688.

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