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Artykuły w czasopismach na temat „MIMO”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Furuya, Toshiki, Mika Hayashi, and Kuniki Kino. "Reconstitution of Active Mycobacterial Binuclear Iron Monooxygenase Complex in Escherichia coli." Applied and Environmental Microbiology 79, no. 19 (2013): 6033–39. http://dx.doi.org/10.1128/aem.01856-13.

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ABSTRACTBacterial binuclear iron monooxygenases play numerous physiological roles in oxidative metabolism. Monooxygenases of this type found in actinomycetes also catalyze various useful reactions and have attracted much attention as oxidation biocatalysts. However, difficulties in expressing these multicomponent monooxygenases in heterologous hosts, particularly inEscherichia coli, have hampered the development of engineered oxidation biocatalysts. Here, we describe a strategy to functionally express the mycobacterial binuclear iron monooxygenase MimABCD inEscherichia coli. Sodium dodecyl sul

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "ZFE AND MMSE SCHEMES FOR MIMO COMMUNICATION SYSTEMS : AN ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 37–43. https://doi.org/10.5281/zenodo.10752418.

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<strong><em>Abstract:</em></strong> <em> </em>MIMO systems are very important technological advancements with respect to the third generation and fourth generation’s wireless networks for RF communication.<em> </em>There are multiple equalization schemes for MIMO systems and two very important of them are ZFE and MMSE. In this paper we are analyzing the performance of both the schemes in different conditions. <em>Index terms-</em> MIMO, SISO, SIMO, MISO, MMSE, ZFE.

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Kumar Sarangi, Ashish, Amrit Mukherjee, and Amlan Datta. "Capacity comparison of MIMO and cooperative MIMO." International Journal of Engineering & Technology 7, no. 1.1 (2017): 638. http://dx.doi.org/10.14419/ijet.v7i1.1.10794.

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To achieve high capacity and high data rates is the main requirement for today’s generation. This paper studies about the performance and capacity comparison of MIMO and cooperative MIMO systems. The comparison of capacity between multiple- input- multiple- output (MIMO) and cooperative MIMO systems helps us to know that which system have better performance and better capacity. The simulation results shows that among SISO, SIMO, MISO and MIMO system the capacity of MIMO will be better but in between MIMO and cooperative MIMO, Cooperative MIMO system have high capacity than MIMO systems.

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Samardžić, Biljana, and Bojana Zlatković. "MODIFIED PYRAGAS METHOD FOR MULTIPLE SPATIAL LIMIT SETS AND CHAOS CONTROL IN MIMO CASCADE NONLINEAR SYSTEMS." Facta Universitatis, Series: Automatic Control and Robotics 17, no. 3 (2019): 165. http://dx.doi.org/10.22190/fuacr1803165s.

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The modified Pyragas method for the multiple spatial limit sets and chaos control in MIMO cascade nonlinear systems is presented in this paper. Also, oscillatory and chaotic dynamic analysis of concrete MIMO3 cascade nonlinear system is performed before and after the application of control. Bifurcation diagrams and spatial phase portraits of uncontrolled and controlled MIMO3 system are used for the purposes of analysis.

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Liu, Lingjia, Runhua Chen, Stefan Geirhofer, Krishna Sayana, Zhihua Shi, and Yongxing Zhou. "Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO." IEEE Communications Magazine 50, no. 2 (2012): 140–47. http://dx.doi.org/10.1109/mcom.2012.6146493.

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "OVERVIEW OF RF COMMUNICATION FROM SISO SYSTEMS TO MIMO SYSTEMS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 13–18. https://doi.org/10.5281/zenodo.10752074.

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<strong><em>Abstract: </em></strong> <em> The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems known as MISO systems

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Akhilseh, Kumar Verma, Manish, and Rajesh Kumar Dr. "EQUALIZATION SCHEMES IN MIMO RF COMMUNICATION: A PERFORMANCE ANALYSIS." International Journal of Advances in Engineering & Scientific Research 3, no. 3 (2016): 44–50. https://doi.org/10.5281/zenodo.10752554.

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<strong><em>Abstract:</em></strong> <strong><em> </em></strong>The wireless communication has derived to the present scenario after passing through number of stages and generation. From analog communication of 1<sup>st</sup> generation today we talk about digital communication in 4<sup>th</sup> generation, from the generation of single transmitting antenna and single receive antenna known as SISO systems, we reached the systems with multiple transmitting and multiple receiving antennas known as MIMO systems going through the systems of Multiple Transmit and single receive antenna systems

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Башкиров, А. В., И. В. Свиридова, and М. В. Хорошайлова. "USING NEURAL NETWORKS FOR MIMO DETECTION AND CHANNEL DECODING." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА, no. 3(-) (August 15, 2022): 71–77. http://dx.doi.org/10.36622/vstu.2022.18.3.009.

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Предложен подход глубокого обучения для совместной задачи обнаружения MIMO и декодирования канала. Обычные приемники MIMO применяют подход на основе существующей модели для обнаружения MIMO и декодирования канала линейным или итеративным образом. Однако из-за сложной модели сигнала MIMO оптимальное решение проблемы совместного обнаружения MIMO и декодирования канала (то есть декодирование с максимальной вероятностью переданных кодовых слов из принятых сигналов MIMO) невозможно с вычислительной точки зрения. В качестве практической меры все современные приемники MIMO на основе стандартных модел

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Ohtsuki, Tomoaki. "MIMO." Journal of The Institute of Image Information and Television Engineers 60, no. 11 (2006): 1766–68. http://dx.doi.org/10.3169/itej.60.1766.

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Handel, Peter, and Daniel Ronnow. "MIMO and Massive MIMO Transmitter Crosstalk." IEEE Transactions on Wireless Communications 19, no. 3 (2020): 1882–93. http://dx.doi.org/10.1109/twc.2019.2959534.

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Marín-Soler, Adoración, Guillermo Ypiña-García, Álvaro Belda-Sanchiz, and Antonio M. Martínez-González. "MIMO Throughput Effectiveness for Basic MIMO OTA Compliance Testing." International Journal of Antennas and Propagation 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/495329.

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During the March 2011 meeting of the CTIA MIMO OTA Subgroup (MOSG), the members agreed that the subgroup should first determine “what” aspects of a MIMO-capable device require evaluation; then the group should determine “how” to go about making these measurements. In subsequent meetings of MOSG, new yet-unnamed figures of merit were asked for in order to provide a solution to the carriers' requirements for LTE MIMO OTA evaluation. Furthermore, the December 2011 3GPP RAN4 status report on LTE MIMO OTA listed the evaluation of the use of statistical performance analysis in order to minimize test

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Apsari Yuniari, Ni Putu Eka, Ni Made Ary Esta Dewi Wirastuti, and I. G. A. K. Diafari Djuni Hartawan. "PERBANDINGAN PERFORMANSI SISTEM MC-SS MIMO DENGAN OFDM MIMO." Majalah Ilmiah Teknologi Elektro 15, no. 2 (2016): 7–12. http://dx.doi.org/10.24843/mite.1502.02.

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Fan, Kuan, Chao Sun, Xionghou Liu, and Guangyu Jiang. "MIMO Sonar DOA Estimation with Joint Matched-Filtering Based on Transmission Diversity Smoothing." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 1 (2020): 6–13. http://dx.doi.org/10.1051/jnwpu/20203810006.

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There is a class of methods based on transmission diversity smoothing by multiple-input multiple-output(MIMO) sonar called MIMO-TDS which is considered as one of the most effective methods for estimation of direction-of-arrival(DOA) using MIMO sonar systems. MIMO-TDS produced by orthogonal signal transmission for active sonar can be immediately implemented with high resolution algorithms such as MVDR to estimate the direction of received signals. However, the orthogonal transmission mode of MIMO-TDS is doomed to a loss of transmission array gain indirectly leading to the problem that the echoe

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14

Sharma, Manmohan, Sunny Verma, and Shekhar Verma. "Optimization of Cell-Free Massive MIMO System." Journal of Physics: Conference Series 2327, no. 1 (2022): 012056. http://dx.doi.org/10.1088/1742-6596/2327/1/012056.

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Abstract As an innovative implementation, Cell-Free Massive Multiple Input Multiple Output (MIMO) has appeared in typical Cellular Massive MIMO Networks. This protocol doesn’t recognize cells, as shown by its name, even though a significant number of APs operate on the same frequency/time resources. Connection from multiple distributed access points through joint signal processing is called Cell-Free Massive MIMO. The Cell-Free Massive MIMO System, a contrast between Cell-Free Massive MIMO Systems and Distributed Massive MIMO, the prime focus in this thesis is on Cell-free Massive MIMO and, al

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Sherin, P. Elias* Karthika Rajan Silpa S. Prasad. "BER ANALYSIS OF SM-MIMO AND CHANNEL ESTIMATED SM-MIMO." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 427–32. https://doi.org/10.5281/zenodo.556326.

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This paper presents a comparison of BER of conventional spatial modulated(SM) multiple input multiple output (MIMO) and channel estimated SM-MIMO. The conventional SM-MIMO multicast system was analyzed on correlated and non-correlated channels. After evaluating the results, we investigate the same for SM-MIMO with channel estimation. Finally simulations are exploited for the evaluation of BER of conventional SM-MIMO and channel estimated SM-MIMO multicast systems and validate the analyses.

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Hemrungrote, Sirichai, Toshikazu Hori, Mitoshi Fujimoto, and Kentaro Nishimori. "Channel Capacity Evaluation for Urban MIMO Systems Using Path Visibility." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 121–32. http://dx.doi.org/10.37936/ecti-eec.201191.172335.

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Multiple-Input Multiple-Output (MIMO) and Multi-User MIMO (MU-MIMO) systems are expected to improve the channel capacity over the limited bandwidth of existing wireless communication networks. The effects on the channel capacity characteristics of Single-User MIMO (SU-MIMO) systems in urban scenarios have been previously studied. In this paper, we first clarify that the larger number of antennas cannot contribute the improvement in the channel capacity in urban SU-MIMO scenarios due to the very high spatial correlation. Next, we focus on the MU-MIMO transmission because it can discriminate mul

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Xie, Bingqian. "The Analysis of MIMO Communication." Applied and Computational Engineering 115, no. 1 (2024): 197–201. https://doi.org/10.54254/2755-2721/2025.18526.

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Communication technologies have developed fast from the First Generation (1G) of mobile communication networks to the Fifth (5G) in 40 years. However, they cannot meet the growing communication requirements of exponentially increasing connected devices. To support these requirements, Multiple-Input Multiple-Output (MIMO) technology has gained extensive attention from researchers for its large channel capacity, high signal reliability and high spectral efficiency. The purpose of this essay is to review the present MIMO technology and critically analyze the challenge of the moment, providing som

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Zeydan, Engin, Omer Dedeoglu, and Yekta Turk. "Performance Comparisons of FDD MIMO and 2.6 GHz TDD Massive MIMO: An Experimental Analysis." Physical Communication 46 (June 1, 2021): 101341. https://doi.org/10.1016/j.phycom.2021.101341.

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Massive multiple-input multiple-output (MIMO) is considered as a breakthrough technology in 5G and beyond 5G systems. Some of its main advantages are providing high spectral efficiency to many users simultaneously in the same timefrequency blocks, strong directive signals towards short-range areas and little interference leaks. However, while massive MIMO exhibits interesting benefits, it is important to investigate its main gains through real deployment scenarios in an operator’s infrastructure. In this paper, we focus on performance comparisons of traditional frequency-division duplex

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Getu, B. N., and J. B. Andersen. "The MIMO cube - a compact MIMO antenna." IEEE Transactions on Wireless Communications 4, no. 3 (2005): 1136–41. http://dx.doi.org/10.1109/twc.2005.846997.

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Wang, Jui Teng. "Switching between MIMO-TDMA and MIMO-CDMA." Transactions on Emerging Telecommunications Technologies 26, no. 3 (2012): 303–7. http://dx.doi.org/10.1002/ett.2604.

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Yunita, Trasma, Harfan H. Ryanu, and Aloysius A. Pramudita. "Effect of Antenna Polarization Arrangement on MIMO Channel Capacity." Emerging Science Journal 9, no. 2 (2025): 1076–88. https://doi.org/10.28991/esj-2025-09-02-028.

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This study investigates the effect of antenna polarization configurations on the channel capacity of Multiple-Input Multiple-Output (MIMO) systems. Theoretical modeling and computational simulations are conducted to examine the impact. The theoretical model is predicated on a MIMO arrangement with a half-wavelength Dipole antenna as the MIMO element. The influence of antenna polarization on MIMO capacity is expressed via mutual impedance as a function of antenna polarization. Theoretical and simulation results indicate that antenna polarization influences the capacity of MIMO channels. Cross-p

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Harkat, Houda, Paulo Monteiro, Atilio Gameiro, Fernando Guiomar, and Hasmath Farhana Thariq Ahmed. "A Survey on MIMO-OFDM Systems: Review of Recent Trends." Signals 3, no. 2 (2022): 359–95. http://dx.doi.org/10.3390/signals3020023.

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MIMO-OFDM is a key technology and a strong candidate for 5G telecommunication systems. In the literature, there is no convenient survey study that rounds up all the necessary points to be investigated concerning such systems. The current deeper review paper inspects and interprets the state of the art and addresses several research axes related to MIMO-OFDM systems. Two topics have received special attention: MIMO waveforms and MIMO-OFDM channel estimation. The existing MIMO hardware and software innovations, in addition to the MIMO-OFDM equalization techniques, are discussed concisely. In the

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Qamar, Faizan, Syed Hussain Ali Kazmi, Khairul Akram Zainol Ariffin, Muhammad Tayyab, and Quang Ngoc Nguyen. "Multi-Antenna Array-Based Massive MIMO for B5G/6G: State of the Art, Challenges, and Future Research Directions." Information 15, no. 8 (2024): 442. http://dx.doi.org/10.3390/info15080442.

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This comprehensive article explores the massive MIMO (M-MIMO) design and its associated concepts, focusing on the seamless integration requirements for Beyond 5G (B5G) and 6G networks. Addressing critical aspects such as RF chain reduction, pilot contamination, cell-free MIMO, and security considerations, this article delves into the intricacies of M-MIMO in the evolving landscape of B5G. Moreover, the emerging MIMO concepts in this article include AI-enabled M-MIMO three-dimensional beamforming, reconfigurable intelligent surfaces, visible light communication, and THz spectrum utilization. Th

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Mishra, Saurabh, Rakesh Ranjan, Sonika Singh, and Gagan Singh. "Latency and Residual Energy Analysis of MIMO Heterogeneous Wireless Sensor Networks." International Journal of Computer Science and Information Technology 16, no. 2 (2024): 01–10. http://dx.doi.org/10.5121/ijcsit.2024.16201.

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Energy-constrained Wireless Sensor Networks (WSNs) have garnered significant research interest in recent years. Multiple-Input Multiple-Output (MIMO), or Cooperative MIMO, represents a specialized application of MIMO technology within WSNs. This approach operates effectively, especially in challenging and resource-constrained environments. By facilitating collaboration among sensor nodes, Cooperative MIMO enhances reliability, coverage, and energy efficiency in WSN deployments. Consequently, MIMO finds application in diverse WSN scenarios, spanning environmental monitoring, industrial automati

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Widjaja, Damar, and Yakobus Agung Purwanto. "Transmisi Data Citra pada Sistem Komunikasi Nirkabel dengan Teknik MIMO." KONSTELASI: Konvergensi Teknologi dan Sistem Informasi 1, no. 2 (2021): 430–41. http://dx.doi.org/10.24002/konstelasi.v1i2.4304.

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Wireless data communication systems using Multiple Input Multiple Output (MIMO) technique in its transmission system has been well developed to solve many transmission media problems. This study aims to analyse the performance of MIMO 2x2 and MIMO 4x4 using image data. Encoding technique that is used in this study is Space Time Block Coding (STBC) by Alamouti. The result of this study shows that wireless communication system using MIMO technique is able to recover the image data on the receiver side the same as the image data on the transmitter side when SNR = 6.5dB for MIMO 2x2 and SNR = 4.5d

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Remlein, Piotr. "Multiuser cpm transmission for mimo systems." Image Processing & Communications 18, no. 4 (2013): 59–65. http://dx.doi.org/10.2478/v10248-012-0093-0.

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Abstract Frequency-Division Multiplexed Continuous Phase Modulation (FDM-CPM) systems with Multiple Input Multiple Output (MIMO) transmission are investigated. In this paper, a multiuser reception scheme for CPM MIMO transmission is presented. The analyzed system is designed to achieve high spectral efficiency by exploiting the multiplexing gain of MIMO techniques. To take advantage of the multiplexing gain of MIMO systems, a Zero Forcing (ZF) MIMO detector and a low-complexity iterative algorithm for Inter- Carrier Interference (ICI) cancellation are considered. Numerical simulations have bee

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Liu, Qinghua, Chang Jiang, Liangnian Jin, and Shan Ouyang. "Detection of Subsurface Target Based on FDA-MIMO Radar." International Journal of Antennas and Propagation 2018 (December 23, 2018): 1–8. http://dx.doi.org/10.1155/2018/8629806.

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As a new type of radar, the FDA-MIMO radar has a good improvement on side lobe suppression and target detection performance compared with the conventional MIMO radar. However, the existing researches on FDA-MIMO radar are almost based on far-field. In this paper, FDA-MIMO radar is applied to the detection of subsurface targets. Aimed at near-subsurface targets, we formulated the signal model of FDA-MIMO radar and combined it with the algorithm of grid of beam (GOB) to detect. Compared with conventional MIMO radar detection, we verified the effectiveness of the proposed method through theoretic

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Rojhani, Neda, Marco Passafiume, Matteo Lucarelli, Giovanni Collodi, and Alessandro Cidronali. "Assessment of Compressive Sensing 2 × 2 MIMO Antenna Design for Millimeter-Wave Radar Image Enhancement." Electronics 9, no. 4 (2020): 624. http://dx.doi.org/10.3390/electronics9040624.

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This paper presents a microstrip array antenna designed for a 2 × 2 Compressive Sensing Multiple-Input Multiple-Output (CS-MIMO) millimeter-wave radar operating at 37.5 GHz. The CS-MIMO linear array antenna is designed to obtain an optimal aperture by seeking a suitable random pattern for the antenna positions. Applying CS allows a considerable reduction in the number of antennas respect to a dense array based on the Nyquist criterion. In this study, we report all possible configurations of 2 × 2 CS-MIMO by placing antennas in random positions, plus their compression ratio. Finally, by selecti

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Naeem, Muddasar, Giuseppe De Pietro, and Antonio Coronato. "Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems." Sensors 22, no. 1 (2021): 309. http://dx.doi.org/10.3390/s22010309.

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The current wireless communication infrastructure has to face exponential development in mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems and their variants (i.e., Multi-User MIMO and Massive MIMO) are the most promising 5G wireless communication systems technology due to their high system throughput and data rate. However, the most significant challenges in MIMO communication are substantial problems in exploiting the multiple-antenna and computational complexity. The recent success of RL and DL introduces novel and powerful tools that mitigate iss

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Chowdhuri, Swati, Sayan Chakraborty, Nilanjan Dey, et al. "Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network." International Journal of Service Science, Management, Engineering, and Technology 5, no. 3 (2014): 54–65. http://dx.doi.org/10.4018/ijssmet.2014070104.

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Mobile ad hoc Network (MANET) and Multi Input Multi Output (MIMO) communication are emerging techniques in modern communication system. MIMO and MANET have various applications in the wireless communication system. This paper presents a survey on recent advancement of MIMO implemented mobile ad hoc network. A review of more than 40 papers on MIMO communication based mobile ad hoc network and most of the related topics is presented in this work. This paper shows the significant contribution in the field of MIMO communication and mobile ad hoc network. Previous works in this domain can be catego

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Mu, Tong, and Yaoliang Song. "Target range–angle estimation based on time reversal FDA-MIMO radar." International Journal of Microwave and Wireless Technologies 12, no. 4 (2019): 267–75. http://dx.doi.org/10.1017/s1759078719001351.

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AbstractDifferent from traditional multiple-input and multiple-output (MIMO) radar, the frequency diverse array MIMO (FDA-MIMO) radar generates beampattern that is dependent on both range and angle, making it applicable for joint range–angle estimation of targets. In this paper, we propose a novel time reversal based FDA-MIMO (TR-FDA-MIMO) approach for target detection. Based on the time reversal theory, the TR-FDA-MIMO signal model is established, the TR transmitting–receiving and signal processing procedure are analyzed, and the resulting range–angle spectra for targets imaging are acquired

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Hosseiny, B., J. Amini, and H. Aghababaei. "INTERFEROMETRIC PROCESSING OF A DEVELOPED MIMO GBSAR FOR DISPLACEMENT MONITORING." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 301–6. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-301-2023.

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Abstract. This study demonstrates the interferometric processing experiments of our developed multiple-input multiple-output ground-based synthetic aperture radar (MIMO GBSAR) system. GBSAR systems are known as precise noncontact instruments for monitoring earth dynamics. In recent years W band MIMO radars have shown interesting potential in this field due to their low cost, compact size, and high phase sensitivity. MIMO capability enables the angular discrimination of multiple targets in the same range as the radar sensor. In our previous works, we developed a high-resolution MIMO GBSAR syste

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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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Wen, Ruyue, Hua Zhang, and Luping Xu. "An Efficient Dynamic Engineering Implementation Architecture for MIMO Radar System." Remote Sensing 17, no. 5 (2025): 832. https://doi.org/10.3390/rs17050832.

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Multiple-input multiple-output (MIMO) technology can significantly improve radar system resolution and target detection ability and become the core technology in millimeter-wave radar systems. Each antenna of a MIMO radar system generates a separate data stream, resulting in an exponential increase in the amount of data. The MIMO radar system needs to process these data efficiently and quickly to ensure the real-time performance of the system. Conventional MIMO radar engineering systems have difficulty meeting the efficient processing requirements for large data volume processing, and an effic

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Kim, Younsun, Hyoungju Ji, Juho Lee, et al. "Full dimension mimo (FD-MIMO): the next evolution of MIMO in LTE systems." IEEE Wireless Communications 21, no. 2 (2014): 26–33. http://dx.doi.org/10.1109/mwc.2014.6812288.

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Kim, Younsun, Hyoungju Ji, Juho Lee, et al. "Full dimension MIMO (FD-MIMO): The next evolution of MIMO in LTE systems." IEEE Wireless Communications 21, no. 3 (2014): 92–100. http://dx.doi.org/10.1109/mwc.2014.6845053.

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Devi.J, Anjana, Dr R. Dhaya, and Dr R. Kanthavel. "A Survey on Multi-Layer Mimo for Lte/Lte-Advanced." International Journal of Engineering & Technology 7, no. 3.34 (2018): 234. http://dx.doi.org/10.14419/ijet.v7i3.34.18972.

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The primary intention of the paper is to explore on various Multi-Layer MIMO approaches for the higher system performance. MIMO technique is said to be the key technology in LTE-A to achieve the spatial diversity in the system. Multi-Layer MIMO is the enhancement to the MIMO technology where multiple streams of data could be transferred to different layers for optimization with increased capacity in the network in high SNR condition. In a massive MIMO system, the cell interference hinders the system performance due to high channel dimensionality. The main design objective of the Multi-Layer MI

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Uçak, Kemal, and Beyza Nur Arslantürk. "Adaptive MIMO fuzzy PID controller based on peak observer." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 13, no. 2 (2023): 139–50. http://dx.doi.org/10.11121/ijocta.2023.1247.

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In this paper, a novel peak observer based adaptive multi-input multi-output (MIMO) fuzzy proportional-integral-derivative (PID) controller has been introduced for MIMO time delay systems. The adaptation mechanism proposed by Qiao and Mizumoto [1] for single-input single-output (SISO) systems has been enhanced for MIMO system adaptive control. The tracking, stabilization and disturbance rejection performances of the proposed adaptation mechanism have been evaluated for MIMO systems by comparing with non-adaptive fuzzy PID and classical PID controllers. The obtained results indicate that the in

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Czawka, Giennadij, and Marek Garbaruk. "Matrix Analysis and Pulse Transmission of Antenna Array for MIMO UWB Systems." International Journal of Electronics and Telecommunications 57, no. 1 (2011): 91–96. http://dx.doi.org/10.2478/v10177-011-0013-z.

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Matrix Analysis and Pulse Transmission of Antenna Array for MIMO UWB Systems This paper presents a theoretical matrix analysis of antenna structure consisting of two double-element planar antennas for ultra-wideband (UWB) application in 2*2 MIMO indoor communication systems. The structure and characteristics of pla-nar two-element UWB antenna are presented. Two matrix models of MIMO antenna system are represented in the paper. A stan-dard MIMO signal transmission matrix without taking into con-sideration the coupling between antennas is described. A new ap-proach to a full electromagnetic anal

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Shamsan, Z. A. "Statistical Analysis of 5G Channel Propagation using MIMO and Massive MIMO Technologies." Engineering, Technology & Applied Science Research 11, no. 4 (2021): 7417–23. http://dx.doi.org/10.48084/etasr.4264.

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Multiple Input Multiple Output (MIMO) and massive MIMO technologies play a significant role in mitigating five generation (5G) channel propagation impairments. These impairments increase as frequency increases, and they become worse at millimeter-waves (mmWaves). They include difficulties of material penetration, Line-of-Sight (LoS) inflexibility, small cell coverage, weather circumstances, etc. This paper simulates the 5G channel at the E-band frequency using the Monte Carlo approach-based NYUSIM tool. The urban microcell (UMi) is the communication environment of this simulation. Both MIMO an

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Riswanto, Hegya Biwana, Ilham Erlangga Dwi Putra Sati, Muhammad Rizky, Figa Aghani Rosyid, and Alfin Hikmaturokhman. "Dampak MU-MIMO dan SU-MIMO Pada Perencanaan Jaringan Seluler 2300 MHz: Studi Komprehensif di Kota Cilacap." Jurnal Riset Rekayasa Elektro 6, no. 1 (2024): 13. http://dx.doi.org/10.30595/jrre.v6i1.20921.

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Penelitian ini berfokus pada perencanaan cakupan jaringan seluler di Kota Cilacap dengan frekuensi 2300 Mhz, membandingkan dua skenario utama, yaitu MU-MIMO dan SU-MIMO. Frekuensi 2300 Mhz dipilih untuk kapasitas tinggi, meskipun menghadapi tantangan urban. Hasil penelitian menunjukkan bahwa MU-MIMO meningkatkan efisiensi spektral pengguna rata-rata, sedangkan penggunaan eksklusif SU-MIMO mungkin mengurangi efisiensi di tepi sel. Namun, berdasarkan hasil pengujian, SU-MIMO menunjukkan keunggulan dalam jangkauan sinyal dengan rata-rata -90,54 dan rasio sinyal terhadap gangguan (C/(I+N)) dengan

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S. N. V. J. Devi Kosuru. "A Comparative Assessment for Examining the Performance of Reconfigurable Multiband MIMO Antennas for Communication Systems." Journal of Information Systems Engineering and Management 10, no. 10s (2025): 841–54. https://doi.org/10.52783/jisem.v10i10s.1533.

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This overview discusses various MIMO Antennas used in wireless communications. MIMO Antennas play an important role in day-to-day communications in the current age scenario. Many research activities in the field of MIMO antennas have already been proposed within the last decade. The reconfigurability of reconfigurable antennas is used to meet the ever-changing scenarios and operating requirements. Reconfigurability in terms of polarization is critical in MIMO systems because they require multiple inputs to reduce fading. In this survey, we explain distinct MIMO Antennas and about their paramet

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Vasylkivskyi, M., O. Boldyreva, G. Vargatyuk та N. Grabchak. "Коригування параметрів мобільних систем MIMO із використанням штучного інтелекту". COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, № 51 (22 червня 2023): 139–47. http://dx.doi.org/10.36910/6775-2524-0560-2023-51-18.

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Розглянуто методи імітаційного проектування систем MIMO з використанням штучного інтелекту. Генетичні алгоритми можуть бути використані для оптимізації конфігурації антен та параметрів системи MIMO. ШІ може моделювати різні комбінації параметрів, оцінювати їх продуктивність і еволюційним чином визначати оптимальні налаштування. Нейронні мережі можуть використовуватись для прогнозування каналу зв'язку та оптимізації передавальних стратегій. Вони можуть навчитись моделювати складні взаємозв'язки між властивостями каналу та продуктивністю системи MIMO. Методи навчання з підкріпленням можуть бути

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Hasan, Md Mhedi, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, et al. "A Compact Mu-Near-Zero Metamaterial Integrated Wideband High-Gain MIMO Antenna for 5G New Radio Applications." Materials 16, no. 4 (2023): 1751. http://dx.doi.org/10.3390/ma16041751.

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This article demonstrates a compact wideband four-port multiple-input-multiple-output (MIMO) antenna system integrated with a wideband metamaterial (MM) to reach high gain for sub-6 GHz new radio (NR) 5G communication. The four antennas of the proposed MIMO system are orthogonally positioned to the adjacent antennas with a short interelement edge-to-edge distance (0.19λmin at 3.25 GHz), confirming compact size and wideband characteristics 55.2% (3.25–5.6 GHz). Each MIMO system component consists of a fractal slotted unique patch with a transmission feed line and a metal post-encased defected g

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ARYANTA, DWI. "Analisis Kinerja Single User Troughput 5G NR pada Sel Indoor dengan Antena MIMO." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 3 (2022): 500. http://dx.doi.org/10.26760/elkomika.v10i3.500.

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ABSTRAKTeknologi seluler 5G New Radio (NR) melalui penggunaan mmWave dengan bandwidth dan MIMO yang besar dapat memberikan layanan berkecepatan tinggi. Pada penelitian ini, dilakukan analisis Single User Throughput (SUT) layanan teknologi 5G pada sel indoor melalui penerapan konfigurasi bandwidth hingga 100 MHz dan MIMO hingga 16x16. Perhitungan menerapkan formula ETSI dan OFCOM pada numerology 1, 64-QAM, serta target data rate mengacu pada layanan MBB live video 300 MBps, Cloud VR 150 Mbps, Video streaming 4K 50 Mbps, dan industrial control 10 Mbps. Hasil analisis menunjukkan layanan MBB Live

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Liu, Kai, Fanwei Meng, Shengya Meng, and Chonghui Wang. "Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method." Entropy 23, no. 9 (2021): 1180. http://dx.doi.org/10.3390/e23091180.

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The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measur

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Gutiérrez, Jesús, Jesús Ibáñez, and Jesús Pérez. "MIMO OTA Testing Based on Transmit Signal Processing." International Journal of Antennas and Propagation 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/670154.

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Usually, multiple-input-multiple-output (MIMO) testbeds are combined with channel emulators for testing devices and algorithms under controlled channel conditions. In this work, we propose a simple methodology that allows over-the-air (OTA) MIMO testing using a MIMO testbed solely, avoiding the use of channel emulators. The MIMO channel is emulated by linearly combining the signals at the testbed transmitter. The method is fully flexible, so it is able to emulate any equivalent baseband narrowband MIMO channel by adequately selecting the weights of the linear combination. We derive closed-form

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Ma, Hao, Jun Wang, Xin Sun, and Wenxin Jin. "Integrated Waveform Design Based on UAV MIMO Joint Radar Communication." Information 14, no. 8 (2023): 455. http://dx.doi.org/10.3390/info14080455.

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The problem of orthogonal waveform construction in multiple input/multiple output (MIMO) radar communication integration greatly limits the realization of integration technology. In the unmanned aerial vehicle (UAV) MIMO antenna scenario, an orthogonal integrated waveform suitable for a MIMO antenna is designed using a sub−LFM−BPSK waveform combined with a chaotic spread spectrum code. After spread spectrum processing, each MIMO antenna transmits different communication data for orthogonal spread spectrum processing, which is suitable for the omnidirectional detection of MIMO application scena

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Sheu, Jeng-Shin, and Kuan-Ming Huang. "Performance Comparison for Single-User and Multi-User Network MIMO Cellular Systems with Power Management." Applied Sciences 11, no. 21 (2021): 10298. http://dx.doi.org/10.3390/app112110298.

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Cellular mobile systems aim at aggressive spectrum reuse to achieve high spectral efficiency. Unfortunately, this leads to unacceptable interference near cell borders. To control this, network multi-input multiple-output (MIMO) can be adopted to improve coverage and cell-edge throughput through multi-cell cooperation. With network MIMO, multiple geographically separated base stations (BSs) cooperatively serve their cell-edge users (CEUs) using their antennas, acting together as a network of distributed antenna array. It can be single-user (SU) or multi-user (MU) network MIMO by coordinating ch

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Chataut, Robin, and Robert Akl. "Massive MIMO Systems for 5G and beyond Networks—Overview, Recent Trends, Challenges, and Future Research Direction." Sensors 20, no. 10 (2020): 2753. http://dx.doi.org/10.3390/s20102753.

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The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO is one of the key enabling technology for next-generation networks, which groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency using relatively simple processing. Obtaining a better understating of the massive MIMO system to overcome the fundamental issues of this technology is vital for the successful deployment of 5G—and beyond—networ

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