Academic literature on the topic 'MIMO-OFDM, OFDM'

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Journal articles on the topic "MIMO-OFDM, OFDM"

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Prayitno, R. A., N. M. A. E. D. Wirastuti, and I. G. A. K. D. D. Hartawan. "ANALISIS UNJUK KERJA ZERO FORCING EQUALIZER PADA SISTEM OFDM MIMO." Jurnal SPEKTRUM 5, no. 1 (2018): 68. http://dx.doi.org/10.24843/spektrum.2018.v05.i01.p10.

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Wireless network is one of the most important things in the development of telecommunication. However, the existing wireless technology has not been able to efficiently create a very high data rate because it was very sensitive to fading. Therefore, Orthogonal Frequency Division Multiplexing (OFDM) technology combined with MIMO (Multiple Input Multiple Output) transceiver system was used to gain more diversity and bandwidth efficiency. The propagation performed on the OFDM MIMO system was multipath propagation. To reduce Intersymbol Interference (ISI) was used Zero Forcing (ZF) equalizer which
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Eneh, T., P. Rapajic, K. Anang, and Bello Lawal. "Adaptive MMSE Multiuser Detection in MIMO OFDM Wireless Communication System." Advanced Materials Research 367 (October 2011): 233–40. http://dx.doi.org/10.4028/www.scientific.net/amr.367.233.

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The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the deve
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El Ghzaoui, M., A. Hmamou, J. Foshi, and J. Mestoui. "Compensation of Non-linear Distortion Effects in MIMO-OFDM Systems Using Constant Envelope OFDM for 5G Applications." Journal of Circuits, Systems and Computers 29, no. 16 (2020): 2050257. http://dx.doi.org/10.1142/s0218126620502576.

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Orthogonal frequency division multiplexing (OFDM) is a multicarrier transmission system that can achieve high data rate over wireless channels. At the same time, multiple input multiple output OFDM (MIMO-OFDM) in wireless communication systems has been exposed to offer significant improvement over wireless technology by providing transmit diversity. It has become a promising technique for high-performance 5G broadband wireless communications. However, the main problem associated with MIMO-OFDM is that its signal exhibits high peak-to-average power ratio (PAPR), which causes nonlinear distortio
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Yadav, Brijesh Kumar, and Rabindra Kumar Singh. "Performance Analysis of Efficient and Low Complexity MIMO-OFDM System Using Modified V-BLAST." International Journal of Sensors, Wireless Communications and Control 10, no. 3 (2020): 302–7. http://dx.doi.org/10.2174/2210327909666190409143110.

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Background and Objective: To analyze the performance of MIMO-OFDM system, VBLAST detection suffers from computational complexity as well as high BER. Methods: To improve the BER performance and to reduce the computational complexity of receiver, we propose a modified VBLAST detection in MIMO-OFDM Systems. Results: Simulation using MATLAB shows the improvement in computational complexity and in BER. Conclusion: This modified VBLAST reduces the complexity of MIMO-OFDM System to 44.2% and improvement in BER as compared to conventional VBLAST based MIMO-OFDM System.
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Et.al, G. Jagga Rao. "Milli meter Wave MIMO-OFDMA Scheme with MMSE-based VEMF in 6G Wireless Technology." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4701–7. http://dx.doi.org/10.17762/turcomat.v12i3.1890.

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Millimetre Wave (MmWave) massive multiple-input multiple-output (MmWave-massive-MIMO) has developed as beneficial for gigabit-per-second data broadcast into 6G digitized wireless technology. The collection of low-rate and energy-efficient (EE) types of machinery, low power consumptions, multi-bit quantized massive MIMO-Orthogonal Frequency Division Multiplexing Access (OFDMA) structure have been planned for the receiver manner. The main concentration effort is the minimization of a state-of-the-art pilot-symbol quantized (PSQ) massive MIMO-OFDMA system (m-MIMO-OFDM-S). Accordingly, in this ana
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Srinivasulu, Owk, and P. Rajesh Kumar. "Analysis of Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing with Dynamic Optimal Power Allocation." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 15515–21. http://dx.doi.org/10.48084/etasr.7459.

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Multiple Input Multiple Output (MIMO) is a technology that combines multiple antennas and Orthogonal Frequency Division Multiplexing (OFDM) modulation to increase the data rate and spectral efficiency of wireless communication systems. Equalization problems are one of the key issues with MIMO-OFDM systems, which are caused by multiple antennas and subcarriers. Optimal Power Allocation (OPA) in MIMO-OFDM is a critical component for achieving high spectral efficiency and improving the overall performance of the system. OPA refers to the process of allocating power to the different subcarriers an
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Kumari, P. Aruna, Srinu Pyla, U. N. V. P. Rajendranath, and Nirujogi Venkata Maheswara Rao. "Performance analysis of LDPC codes in MIMO-OFDM for next generation wireless systems." International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 2 (2025): 636. https://doi.org/10.11591/ijict.v14i2.pp636-644.

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Fifth Generation communication systems overcome the limitations of the fourth-generation systems and ensure improved data rates, lower latency, and higher connection density. 5G technology has the potential to unlock new internet of things (IoT) applications by utilizing the technologies such as multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM), and Li-Fi. Low density parity check (LDPC) and polar codes are being preferred for data and control channels respectively in 5G systems as these coding techniques offer good error-detection and correction along with
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Hussein, A. Leftah, and N. Alminshid Huda. "Channel capacity and performance evaluation of precoded MIMO-OFDM system with large-size constellation." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 6 (2019): 5024–30. https://doi.org/10.11591/ijece.v9i6.pp5024-5030.

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Multiple input-multiple output (MIMO) is a multipath diversity exploring approach which is emerged with orthogonal frequency division multiplexing (OFDM) to produce MIMO-OFDM that is widely used in wireless communications. This paper presents a discrete Hartley transform (DHT) precoded MIMO-OFDM system over multipath frequency-selective fading channel with large-size quadrature amplitude modulation (16-QAM, 64-QAM and 256-QAM). A mathematical models for the BER and channel capacity over mutlipath fading channels are also derived in this paper. Average Bit-error-rate (BER) and channel capacity
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Manzoor, Shahid, Noor Shamsiah Othman, and Mohammed W. Muhieldeen. "Preamble-Based Signal-to-Noise Ratio Estimation for Adaptive Modulation in Space–Time Block Coding-Assisted Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing System." Algorithms 18, no. 2 (2025): 97. https://doi.org/10.3390/a18020097.

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This paper presents algorithms to estimate the signal-to-noise ratio (SNR) in the time domain and frequency domain that employ a modified Constant Amplitude Zero Autocorrelation (CAZAC) synchronization preamble, denoted as CAZAC-TD and CAZAC-FD SNR estimators, respectively. These SNR estimators are invoked in a space–time block coding (STBC)-assisted multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. These SNR estimators are compared to the benchmark frequency domain preamble-based SNR estimator referred to as the Milan-FD SNR estimator when used in
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Youssef, M. I., A. E. Emam, and Khalifa M. Abd. "ICI and PAPR enhancement in MIMO-OFDM system using RNS coding." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (2019): 1209–19. https://doi.org/10.11591/ijece.v9i2.pp1209-1219.

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The Inter-Carrier-Interference (ICI) is considered a bottleneck in the utilization of Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, due to the sensitivity of the OFDM towards frequency offsets which lead to loss of orthogonality, interference and performance degradation. In this paper Residue Numbers as a coding scheme is impeded in MIMO-OFDM systems, where the ICI levels is measured and evaluated with respect to conventional ICI mitigation techniques implemented in MIMO-OFDM. The Carrier-to-Interference Ratio (CIR), the system Bit-Error-Rate (B
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Dissertations / Theses on the topic "MIMO-OFDM, OFDM"

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Chen, Harry Zhi Bing. "Signal design for MIMO-OFDM systems." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/23907.

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Orthogonal frequency division multiplexing (OFDM) combined with multiple-input multiple-output (MIMO) wireless technology is an attractive air-interface solution for wireless systems. The time-selective and dispersive nature of the wireless channel, however, poses challenges for signal design. To address these challenges, this dissertation investigates several physical layer aspects of signal design for MIMO-OFDM systems. To improve the information outage rate of certain MIMO systems with low-rank channel matrices, we propose two novel channel augmentation schemes, namely, the complex virtual
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Daoud, Omar Rawhi. "MIMO-OFDM for beyond 3G systems." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/4106.

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Yacoub, Doris. "Spreading and precoding for wireless MIMO-OFDM systems." [S.l. : s.n.], 2008. http://nbn-resolving.de/urn:nbn:de:bsz:289-vts-64210.

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Stimming, Christian. "Multiple antenna concepts in OFDM transmission systems." Göttingen Cuvillier, 2009. http://d-nb.info/995846030/04.

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Gulzar, Muhammad Atif, Rashid Nawaz, and Devendra Thapa. "Implementation of MIMO-OFDM System for WiMAX." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-12221.

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Error free transmission is one of the main aims in wireless communications. With the increase in multimedia applications, large amount of data is being transmitted over wireless communications. This requires error free transmission more than ever and to achieve error free transmission multiple antennas can be implemented on both stations i.e. base station and user terminal with proper modulation scheme and coding technique. The 4th generation of wireless communications can be attained by Multiple-Input Multiple-Output (MIMO) in combination with Orthogonal Frequency Division Multiplexing (OFDM)
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Shao, Lei. "Code design for MIMO-OFDM(A) systems /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/5859.

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Häne, Simon. "VLSI circuits for MIMO-OFDM physical layer /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17384.

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Sung, Joon Hyun. "Transmitter Strategies for Closed-Loop MIMO-OFDM." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5029.

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This thesis concerns communication across channels with multiple inputs and multiple outputs. Specifically, we consider the closed-loop scenario in which knowledge of the state of the multiple-input multiple-output (MIMO) channel is available at the transmitter. We show how this knowledge can be exploited to optimize performance, as measured by the zero-outage capacity, which is the capacity corresponding to zero outage probability. On at-fading channels, a closed-loop transmitter allocates different powers and rates to the multiple channel inputs so as to maximize zero-outage capacity. Freque
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SimoÌ, es LuiÌ s. Miguel Mendes. "Optimal data transmission on MIMO OFDM channels." Thesis, Monterey California. Naval Postgraduate School, 2008. http://hdl.handle.net/10945/3717.

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This thesis investigates the Physical Layer performance of single-input single-output (SISO) wireless communications systems, as well as multi antenna techniques such as multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) systems, the last two utilizing the Alamouti-based space-time block coding (STBC) technique. All cases are based on the IEEE 802.16-2004 standard with OFDM using different values of coding rates. International Telecommunications Union (ITU) channel models are selected for the wireless channel in the simulation process. The particular setting we ar
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Simões, Luís Miguel Mendes. "Optimal data transmission on MIMO OFDM channels." Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Dec/08Dec%5FSimoes.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2008.<br>Thesis Advisor(s): Cristi, Roberto. "December 2008." Description based on title screen as viewed on January 30, 2009. Includes bibliographical references (p. 81-82). Also available in print.
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Books on the topic "MIMO-OFDM, OFDM"

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CEng, Azlina Idris, Aidatul Julia Abd Jabar, and Wan Norsyafizan W. Muhamad. MIMO-OFDM Systems with Diversity Technique. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1001-3.

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

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Häne, Simon. VLSI circuits for MIMO-OFDM physical layer. Hartung-Gorre, 2008.

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Hanzo, Lajos, Yosef Jos Akhtman, Li Wang, and Ming Jiang. MIMO-OFDM for LTE, Wi-Fi and WiMAX. John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470711750.

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Ahmed, Bannour, and Mohammad Abdul Matin. Coding for MIMO-OFDM in Future Wireless Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9.

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

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

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Wenk, Markus. MIMO-OFDM testbed: Challenges, implementations, and measurement results. Hartung-Gorre, 2010.

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Eberli, Stefan. Application-specific processor for MIMO-OFDM software-defined radio. Hartung-Gorre Verlag, 2009.

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Perels, Christop David. Frame-based MIMO-OFDM systems: Impairment estimation and compensation. Hartung-Gorre, 2008.

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Book chapters on the topic "MIMO-OFDM, OFDM"

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Montezuma, Paulo, João Guerreiro, and Rui Dinis. "MIMO-OFDM and Optical OFDM Systems." In Unified Theoretical Analysis of Nonlinear Multicarrier Schemes. CRC Press, 2024. http://dx.doi.org/10.1201/9781032708744-6.

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Ahmed, Bannour, and Mohammad Abdul Matin. "Overview of MIMO-OFDM." In Coding for MIMO-OFDM in Future Wireless Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9_1.

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Aust, Sebastian, Andreas Ahrens, Francisco Cano-Broncano, and César Benavente-Peces. "Downlink Multiuser MIMO-OFDM Systems." In E-Business and Telecommunications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35755-8_32.

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CEng, Azlina Idris, Aidatul Julia Abd Jabar, and Wan Norsyafizan W. Muhamad. "PAPR in MIMO-OFDM System." In SpringerBriefs in Applied Sciences and Technology. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1001-3_5.

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Ahmed, Bannour, and Mohammad Abdul Matin. "ASTC-MIMO to ASTC-MIMO-OFDM System." In Coding for MIMO-OFDM in Future Wireless Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9_5.

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Ahmed, Bannour, and Mohammad Abdul Matin. "Code Design for MIMO-OFDM System." In Coding for MIMO-OFDM in Future Wireless Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19153-9_3.

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Nishu Baliyan, Manish Verma, and Adesh Kumar. "Channel Capacity in MIMO OFDM System." In Proceeding of International Conference on Intelligent Communication, Control and Devices. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1708-7_132.

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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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Suzuki, Hajime, Iain B. Collings, George Lam, and Mark Hedley. "Selective Detection for MIMO-OFDM Transmission." In Advances in Broadband Communication and Networks. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337089-7.

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Aarab, Mohamed Nassim, and Otman Chakkor. "MIMO-OFDM for Wireless Systems: An Overview." In Lecture Notes in Networks and Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33103-0_19.

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Conference papers on the topic "MIMO-OFDM, OFDM"

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Katterbauer, Klemens, and Abdallah Al Shehri. "Smart MIMO-OFDM Wireless Communication Frameworks for Subsurface Wireless Sensor." In SPE Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210750-ms.

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Abstract Wireless communication in subsurface wells and reservoir has been a major challenge in ensuring robust data transmission, and reliable communication between the sensors. Challenges from the multiple reflection as well as other external factors, makes subsurface communication a unique challenge for modern communication algorithms. While multiple-Input, multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) communication has been extensively implemented in wireless communication for signal processing, unique challenges arise in subsurface reservoirs caused by unknown for
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Jin, Qianyu, Yi Hong, and Emanuele Viterbo. "MIMO Self-Coherent OFDM." In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). IEEE, 2017. http://dx.doi.org/10.1109/vtcfall.2017.8287942.

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Min, Wei, Li Guocai, Wang Zili, and Gong Yaohuan. "A Novel TR-STBC-OFDM Scheme for MIMO-OFDM." In 2006 International Conference on Communications, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icccas.2006.284863.

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Magnitskiy, Viktor. "SIMULATION OF MIMO CHANNEL OF FIFTH GENERATION NETWORKS IN MATLAB SIMULINK SYSTEM." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/conferencearticle_5e028213bdb4b4.10169741.

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The article describes the Simulink model of the hardware of the MIMO wireless communication system. The model includes a CRC generator, QPSK, OFDM modulator, and antenna arrays at the transmitter and receiver. The presented model makes it possible to simulate the expensive transmit-receive equipment of the MIMO system, and also illustrates the capabilities of Simulink.
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Kamruzzaman, M. M. "Performance of Turbo coded wireless link for SISO-OFDM, SIMO-OFDM, MISO-OFDM and MIMO-OFDM system." In 2011 14th International Conference on Computer and Information Technology (ICCIT). IEEE, 2011. http://dx.doi.org/10.1109/iccitechn.2011.6164780.

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Wen, Yaobin, and Florence Danilo-Lemoine. "A Postfix Synchronization Method for OFDM and MIMO-OFDM Systems." In 2008 IEEE Wireless Communications and Networking Conference. IEEE, 2008. http://dx.doi.org/10.1109/wcnc.2008.6.

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Wineberger, Erez, and Ofer Amrani. "BER-Allocation in MIMO and MIMO-OFDM." In 2006 IEEE International Symposium on Information Theory. IEEE, 2006. http://dx.doi.org/10.1109/isit.2006.261659.

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Mujtaba, Syed Aon. "Standardization of MIMO-OFDM Technology." In IEEE International Networking and Communications Conference (INCC 2008). IEEE, 2008. http://dx.doi.org/10.1109/incc.2008.4562674.

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Jallouli, Kais, Mohamed Mazouzi, Achraf Ben Ahmed, Alireza Monemi, and Salem Hasnaoui. "Multicore MIMO-OFDM LTE Optimizing." In 2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC). IEEE, 2018. http://dx.doi.org/10.1109/iintec.2018.8695290.

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Dong, Qingwei, Ling Zhou, Hui Liu, Chunyu Wang, and Yaochun Li. "Research of MIMO-OFDM Model." In 2015 International Conference on Automation, Mechanical Control and Computational Engineering. Atlantis Press, 2015. http://dx.doi.org/10.2991/amcce-15.2015.418.

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