Relevant bibliographies by topics / MIMO-OFDM System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'MIMO-OFDM System'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "MIMO-OFDM System"

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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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Devarsh, Patel*. "BER ANALYSIS OF MIMO-OFDM SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 12 (2016): 605–12. https://doi.org/10.5281/zenodo.205862.

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MIMO is a system where a number of antennas are used at the transmitter and receiver side. A MIMO system takes advantage of the spatial diversity that is obtained by spatially separated antennas in a dense multipath scattering environment. The combination of OFDM systems with MIMO technology has provided us with increase in link reliability and an improvement in spectral efficiency. For 4G communication MIMO-OFDM is one of the most competitive technologies. The combination of OFDM and MIMO seems to be very promising when aiming at the design of very high-rate wireless mobile systems. This pape
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Muoghalu, C. N., P. N. Achebe, and F. A. Aigbodioh. "MIMO-OFDM Techniques for Wireless Communication System: Performance Evaluation Review." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5572–81. http://dx.doi.org/10.35444/ijana.2023.14410.

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The use of multiple antennas in wireless communication systems has resulted in multiple channels that facilitate the speed of data transfer and improved channel capacity. This technique that basically involves multiple input and multiple output (MIMO) antennas helps to improve system performance by reducing bit error rate (BER) while increasing signal to noise ratio (SNR). Also, the use of orthogonal frequency division multiplexing (OFDM) has helped in mitigating inter-symbol interference (ISI). A combination of MIMO and OFDM produces the MIMO-OFDM scheme. This paper reviewed the performance o
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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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Wang, Ya Jing, Ya Zhen Li, and Li Qun Huang. "An Improved Algorithm Based on Optimized PTS in MIMO-OFDM System." Advanced Materials Research 765-767 (September 2013): 2801–4. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2801.

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The fourth generation mobile communication system is a high-speed broadband wireless communication system, it needs MIMO and OFDM technology which have high spectral efficiency and suitable for a multi-path fading channel. Because the MIMO-OFDM system is still an multi-carrier modulation system, the main drawback is the high PAPR value. This paper proposed an improved algorithm based on optimized PTS to reduce PAPR in STBC MIMO-OFDM system. The simulation results show that the improved algorithm can effectively reduce the PAPR value and do not increase the amount of computation in STBC MIMO-OF
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Wang, Ya Jing, Ya Zhen Li, and Jing Guan. "A New Algorithm to Reduce PAPR in STBC MIMO-OFDM System." Advanced Materials Research 760-762 (September 2013): 190–93. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.190.

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MIMO and OFDM technology is the core technology of 4G network, and have great development prospects. The main drawback of MIMO-OFDM system is the high PAPR. This paper is based on Cross-antenna rotation and inversion and Active Constellation Extension. The paper proposed the joint algorithm to reduce PAPR in STBC MIMO-OFDM system. It makes use of time, space and frequency freedom to improve the PAPR performance. The simulation results show that the joint algorithm can effectively reduce the PAPR value and do not increase the bit error rate in STBC MIMO-OFDM system.
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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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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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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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Leftah, Hussein A., and Huda N. Alminshid. "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. http://dx.doi.org/10.11591/ijece.v9i6.pp5024-5030.

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<p>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 Hart-ley 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
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Dissertations / Theses on the topic "MIMO-OFDM System"

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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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Sharma, Maneesha. "Channel prediction in MU-MIMO-OFDM downlink system." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/198037/1/Maneesha_Sharma_Thesis.pdf.

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In multi-user multiple input multiple output orthogonal frequency division multiplexing downlink system, it is important to have an accurate channel state information at the base-station in order to minimize the inter-user interference. However, when the channel changes rapidly, the available channel state information at the base-station can be outdated, causing performance loss. In this research, we propose to use linear adaptive filtering algorithms, such as normalized least mean squares and recursive least squares to predict the channel state information at the base-station to improve the b
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ALAM, MD SHAMSER. "On sphere detection for OFDM based MIMO systems." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6153.

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The mobile wireless communication systems has been growing fast and continuously over the past two decades. Therefore, in order to fulfill the demand for this rapid growth, the standardization bodies along with wireless researchers and mobile operators around the world have been constantly working on new technical specifications.An important problem in modern communication is known as NP complete problem in the Maximum Likelihood (ML) detection of signals transmitting over Multiple Input Multiple Output channel of the OFDM transceiver system. Development of the Sphere Decoder (SD) as a result
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Grabner, Mitchell John James. "Practical Robust MIMO OFDM Communication System for High-Speed Mobile Communication." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc799501/.

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This thesis presents the design of a communication system (PRCS) which improves on all aspects of the current state of the art 4G communication system Long Term Evolution (LTE) including peak to average power ratio (PAPR), data reliability, spectral efficiency and complexity using the most recent state of the art research in the field combined with novel implementations. This research is relevant and important to the field of electrical and communication engineering because it provides benefits to consumers in the form of more reliable data with higher speeds as well as a reduced burden on har
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Li, Rui. "Iterative Receiver for MIMO-OFDM System with ICI Cancellation and Channel Estimation." Thesis, The University of Sydney, 2008. http://hdl.handle.net/2123/3544.

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As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM) technique can achieve high data rate in frequency-selective fading channels by splitting a broadband signal into a number of narrowband signals over a number of subcarriers, where each subcarrier is more robust to multipath. The wireless communication system with multiple antennas at both the transmitter and receiver, known as multiple-input multiple-output (MIMO) system, achieves high capacity by transmitting independent information over different antennas simultaneously. The combination of OFDM wi
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Li, Rui. "Iterative Receiver for MIMO-OFDM System with ICI Cancellation and Channel Estimation." University of Sydney, 2008. http://hdl.handle.net/2123/3544.

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Master of Engineering by Research<br>As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM) technique can achieve high data rate in frequency-selective fading channels by splitting a broadband signal into a number of narrowband signals over a number of subcarriers, where each subcarrier is more robust to multipath. The wireless communication system with multiple antennas at both the transmitter and receiver, known as multiple-input multiple-output (MIMO) system, achieves high capacity by transmitting independent information over different antennas simultaneousl
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Camargo, Alfonso. "Adaptive modulation, channel coding and MIMO schemes for practical OFDM systems." Aachen Shaker, 2009. http://d-nb.info/99482971X/04.

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Sit, Yoke Leen [Verfasser]. "MIMO OFDM Radar-Communication System with Mutual Interference Cancellation / Yoke Leen Sit." Karlsruhe : KIT Scientific Publishing, 2018. http://d-nb.info/1185986332/34.

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Pathani, Akhil Kumar. "Performance of 4x1 Space-Time Conjugate and Parallel Scheme in MIMO-OFDM System." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10604084.

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<p> Orthogonal Frequency Division Multiplexing (OFDM) in Space-Time (ST) coding has been in headlines in the field of communications over the few years due to its flexibility with Multiple Input Multiple Output (MIMO) systems. Orthogonality among carriers is required for OFDM but Carrier Frequency Offset (CFO) at the receiver and change in Doppler shift affect the orthogonality between carriers and lead to Inter Carrier Interference (ICI). Two path transmission schemes are developed for suppressing ICI in MIMO-OFDM systems. Out of many schemes, Parallel Cancellation (PC) and Conjugate Cancella
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She, Baoqing. "Deep Learning for Error Prediction In MIMO-OFDM system With Maximum Likelihood Detector." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246915.

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To increase link throughput in multi-input multi-output (MIMO) orthogonal frequencydivision multiplexing (OFDM) systems, transmission parameters such as code rate andmodulation order are required to be set adaptively. Therefore, block error rate (BLER)becomes a crucial measure which illustrates the quality of the link, thus being used in LinkAdaptation (LA) to determine the transmission parameters. However, existing methods topredict BLER are only valid for linear detectors, e.g. Minimum Mean Square Error (MMSE)detector [1]. In this thesis, we show that signal-to-interference-plus-noise ratio
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Books on the topic "MIMO-OFDM System"

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Yang, Hong-Chuan. Order statistics in wireless communications: Diversity, adaptation, and scheduling in MIMO and OFDM systems. Cambridge University Press, 2011.

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

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

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

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

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

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K, Kokula Krishna Hari, ed. Simplified Frequency Offset Estimation in MIMO OFDM Systems: ICIEMS 2014. Association of Scientists, Developers and Faculties, 2014.

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Hanzo, Lajos. MIMO-OFDM for LTE, WIFI, and WIMAX: Coherent versus non-coherent and cooperative turbo-transceivers. Wiley, 2010.

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Book chapters on the topic "MIMO-OFDM System"

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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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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. "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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Chuang, Gene C. H., Pan-An Ting, Ying-Chuan Hsiao, et al. "Mobile MIMO WiMAX System-on-Chip Design." In Baseband Receiver Design for Wireless MIMO-OFDM Communications. John Wiley & Sons Singapore Pte. Ltd., 2012. http://dx.doi.org/10.1002/9781118188194.ch11.

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Ge, Qihong, and Huazhong Yang. "Comb-Pattern Optimal Pilot in MIMO-OFDM System." In Networking and Mobile Computing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_11.

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Joy, Asif Alam, Mohammed Nasim Faruq, and Mohammad Abdul Matin. "Channel Estimation Techniques in the MIMO-OFDM System." In Enabling Technologies for Next Generation Wireless Communications. CRC Press, 2020. http://dx.doi.org/10.1201/9781003003472-7.

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Li, Wei, Xiaoping Wang, Pei Gu, and Dongquing Wang. "Research on Channel Estimation of MIMO–OFDM System." In Lecture Notes in Electrical Engineering. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4790-9_9.

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Hlaing, Ngu War, Ali Farzamnia, and Bryan Lee. "Hybrid PAPR Reduction Schemes for MIMO-OFDM System." In Proceedings of the Multimedia University Engineering Conference (MECON 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-082-4_24.

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Jiang, Xiaolin, Yu’e Li, and Tian Han. "Improvement of CL Algorithm in MIMO-OFDM System." In Machine Learning and Intelligent Communications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04409-0_19.

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Conference papers on the topic "MIMO-OFDM System"

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Sarangi, Ashish Kumar, and Dinesh Kumar Dash. "Study of MIMO-OFDM System for Future Mobile Communication." In 2024 IEEE 1st International Conference on Advances in Signal Processing, Power, Communication, and Computing (ASPCC). IEEE, 2024. https://doi.org/10.1109/aspcc62191.2024.10881579.

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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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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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Florea, Carmen, and Mădălina Berceanu. "OFDM in downlink MASSIVE-MIMO system." In Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2020, edited by Marian Vladescu, Ionica Cristea, and Razvan D. Tamas. SPIE, 2020. http://dx.doi.org/10.1117/12.2571634.

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Boumard, Sandrine, Matti Weissenfelt, Huageng Chi, and Jari Nurmi. "A Wireless MIMO STC OFDM System Implementation." In 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2006. http://dx.doi.org/10.1109/pimrc.2006.254002.

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Shunli Hong, Youming Li, Yao Gao, and Jianding Yu. "Blind SNR estimation for MIMO-OFDM system." In IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0836.

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Lan, Yang, and Daniel K. C. So. "MIMO OFDM System with Virtual Receive Antennas." In 2009 IEEE 69th Vehicular Technology Conference Spring. IEEE, 2009. http://dx.doi.org/10.1109/vetecs.2009.5073670.

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Muhammad Kamran Asif, Owais Baig, Khan Zeb, Muhammad Awais, and Muhammad Ali Danish. "Performance analysis of MIMO-OFDM communication system." In 2014 Fourth International Conference on Innovative Computing Technology (INTECH). IEEE, 2014. http://dx.doi.org/10.1109/intech.2014.6927756.

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He, Xin, Kai Niu, Zhiqiang He, and Jiaru Lin. "Link Layer Abstraction in MIMO-OFDM System." In 2007 International Workshop on Cross Layer Design. IEEE, 2007. http://dx.doi.org/10.1109/iwcld.2007.4379036.

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Zhongjie Gao, Junhui Xu, and Zhongpei Zhang. "A synchronization scheme for MIMO OFDM system." In 2010 International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2010. http://dx.doi.org/10.1109/icccas.2010.5582053.

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