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1

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>&nbsp;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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2

Joshi, Dr Shreedhar A. "Multi-User MIMO Systems." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (2016): 193–96. http://dx.doi.org/10.9756/bijsesc.8275.

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3

Swapna, Sonti. "Channel Estimation for MIMO Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 1 (2022): 201–4. http://dx.doi.org/10.22214/ijraset.2022.39776.

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Abstract: A combination of multiple-input multiple-output (MIMO) systems and orthogonal frequency division multiplexing (OFDM) technologies can be employed in modern wireless communication systems to achieve high data rates and improved spectrum efficiency. For multiple input multiple output (MIMO) systems, this paper provides a Rayleigh fading channel estimation technique based on pilot carriers. The channel is estimated using traditional Least Square (LS) and Minimum Mean Square (MMSE) estimation techniques. The MIMO-OFDM system's performance is measured using the Bit Error Rate (BER) and Me
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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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Abstract (sommario):
<strong><em>Abstract:</em></strong> <strong><em>&nbsp;</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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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>&nbsp;</em>MIMO systems are very important technological advancements with respect to the third generation and fourth generation&rsquo;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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6

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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7

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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8

Mohammed A. Ali, Musaab, and Volodymyr Vodichev. "MODELING OF MIMO SYSTEMS WITH UNIVERSAL CONTROLLER." ELECTRICAL AND COMPUTER SYSTEMS 37, no. 113 (2023): 26–32. http://dx.doi.org/10.15276/eltecs.37.113.2023.03.

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Abstract. The control of multi-input multi-output (MIMO) systems poses significant challenges due to the intricate dynamics and interactions between multiple input and output channels. This paper presents a simulation study on MIMO systems control using the universal control technique. The proposed method offers a versatile framework for regulating MIMO systems with varying dynamics, utilizing a single control algorithm. The underlying concept of the universal control law is to devise a set of principles or strategies that can be universally applied to any system, regardless of its specific ch
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9

Zhang, Donghui. "Signal Processing Methods in MIMO Communication Systems." Highlights in Science, Engineering and Technology 124 (February 18, 2025): 326–31. https://doi.org/10.54097/dy7y1t24.

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This paper delves into the latest advancements and hurdles in Multi-Input Multi-Output (MIMO) technology, particularly in the realm of 5G and future networks. Initially, it examines the fusion of Non-Orthogonal Multiple Access (NOMA) with MIMO, emphasizing its crucial role in user grouping, beam steering, and power distribution strategies. Subsequently, the research explores progress in massive MIMO systems, concentrating on signal processing methods that improve spectral efficiency and system performance in sparse scattering contexts. The paper also reviews sophisticated signal processing app
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10

Hwang, Inho, Han Park, and Jeong Lee. "LDPC Coded Massive MIMO Systems." Entropy 21, no. 3 (2019): 231. http://dx.doi.org/10.3390/e21030231.

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We design a coded massive multiple-input multiple-output (MIMO) system using low-density parity-check (LDPC) codes and iterative joint detection and decoding (JDD) algorithm employing a low complexity detection. We introduce the factor graph representation of the LDPC coded massive MIMO system, based on which the message updating rule in the JDD is defined. We devise a tool for analyzing extrinsic information transfer (EXIT) characteristics of messages flowing in the JDD and the three-dimensional (3-D) EXIT chart provides a visualization of the JDD behavior. Based on the proposed 3-D EXIT anal
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11

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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12

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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13

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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14

Khan, Muhammad Abbas, Abdullah G. Al Harbi, Saad Hassan Kiani, et al. "mmWave Four-Element MIMO Antenna for Future 5G Systems." Applied Sciences 12, no. 9 (2022): 4280. http://dx.doi.org/10.3390/app12094280.

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This paper presents an S-shape four-port Multiple Input Multiple Output (MIMO) wideband mmWave antenna with bandwidth of 25 GHz to 39 GHz. The antenna is designed on 0.254 mm ultra-thin RO5880 with permittivity of 2.3. The dimensions of proposed S-shape antenna are 10 × 12 mm for single element and 24 × 24 mm for four-port MIMO configuration. A decoupling network is introduced to further compress mutual coupling among MIMO elements. The peak gain achieved is 7.1 dBi and MIMO assembly delivers diversity scheme. The proposed MIMO antenna is fabricated, and simulated results are found to be in ex
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15

Ahrens, Andreas, and César Benavente-Peces. "Modulation-mode and power assignment in broadband MIMO systems." Facta universitatis - series: Electronics and Energetics 22, no. 3 (2009): 313–27. http://dx.doi.org/10.2298/fuee0903313a.

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Since the capacity of multiple-input multiple-output (MIMO) systems increases linearly with the minimum number of antennas at both, the transmitter as well as the receiver side, MIMO schemes have attracted a lot of attention. However, non-frequency selective MIMO links have reached a state of maturity. By contrast, frequency selective MIMO links require substantial further research, leading in this contribution to a joint optimization of the number of activated MIMO layers and the number of bits per symbol along with the appropriate allocation of the transmit power under the constraint of a gi
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16

Morris, M. L., M. A. Jensen, and J. W. Wallace. "Superdirectivity in MIMO systems." IEEE Transactions on Antennas and Propagation 53, no. 9 (2005): 2850–57. http://dx.doi.org/10.1109/tap.2005.854530.

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17

Dai, Jincheng, Kai Niu, and Jiaru Lin. "Polar-Coded MIMO Systems." IEEE Transactions on Vehicular Technology 67, no. 7 (2018): 6170–84. http://dx.doi.org/10.1109/tvt.2018.2815602.

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18

Withers, Christopher S., and Saralees Nadarajah. "Reciprocity for MIMO systems." European Transactions on Telecommunications 22, no. 6 (2011): 276–81. http://dx.doi.org/10.1002/ett.1476.

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19

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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20

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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21

Wang, Enkang. "Performance of Fluid Antennas in MIMO Systems." Highlights in Science, Engineering and Technology 134 (March 30, 2025): 94–101. https://doi.org/10.54097/ccgsdv95.

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In recent years, there has been a notable surge in research activity pertaining to multiple-input multiple-output (MIMO) systems. Conventional antennas are a common feature of MIMO systems. Nevertheless, the deployment of conventional antennas in MIMO systems is perceived to entail considerable constraints, largely due to the fact that the distribution of conventional antennas is susceptible to near-field coupling phenomena, which ultimately results in a deterioration of the transmitted information's performance. To address this issue, the utilization of fluid antennas in MIMO systems has been
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22

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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23

Alabed, Samer. "A computationally efficient detector for MIMO systems." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4138. http://dx.doi.org/10.11591/ijece.v9i5.pp4138-4146.

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&lt;p&gt;In this work, a newly designed multiple-input multiple-output (MIMO) detector for implementation on software-defined-radio platforms is proposed and its performance and complexity are studied. In particular, we are interested in proposing and evaluating a MIMO detector that provides the optimal trade-off between the decoding complexity and bit error rate (BER) performance as compared to the state of the art detectors. The proposed MIMO decoding technique appears to find the optimal compromise between competing interests encountered in the implementation of advanced MIMO detectors in p
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Samer, Alabed. "A computationally efficient detector for MIMO systems." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 4138–46. https://doi.org/10.11591/ijece.v9i5.pp4138-4146.

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AIn this work, a newly designed multiple-input multiple-output (MIMO) detector for implementation on software-defined-radio platforms is proposed and its performance and complexity are studied. In particular, we are interested in proposing and evaluating a MIMO detector that provides the optimal trade-off between the decoding complexity and bit error rate (BER) performance as compared to the state of the art detectors. The proposed MIMO decoding technique appears to find the optimal compromise between competing interests encountered in the implementation of advanced MIMO detectors in practical
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Bakulin, Mikhail, Taoufik Ben Rejeb, Vitaly Kreyndelin, Denis Pankratov, and Aleksei Smirnov. "Uplink NOMA-MIMO Systems with Rayleigh Power Distribution." Sensors 22, no. 11 (2022): 4002. http://dx.doi.org/10.3390/s22114002.

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The article is devoted to multiple-input multiple-output antenna systems, also called MIMO systems, which are widely used in wireless communication systems. In this article we consider a case when the MIMO system works in overloaded mode. In this mode MIMO systems can be considered as a system with non-orthogonal multiple access NOMA. The main goal of this article is to analyze this interesting case using statistical computer simulation. Based on the analysis of the capacity of a discrete-continuous multiuser MIMO uplink channel, the possibility of such systems functioning in overload mode is
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Imoize, Agbotiname Lucky, Augustus Ehiremen Ibhaze, Aderemi A. Atayero, and K. V. N. Kavitha. "Standard Propagation Channel Models for MIMO Communication Systems." Wireless Communications and Mobile Computing 2021 (February 15, 2021): 1–36. http://dx.doi.org/10.1155/2021/8838792.

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The field of wireless communication networks has witnessed a dramatic change over the last decade due to sophisticated technologies deployed to satisfy various demands peculiar to different data-intensive wireless applications. Consequently, this has led to the aggressive use of the available propagation channels to fulfill the minimum quality of service (QoS) requirement. A major barometer used to gauge the performance of a wireless communication system is the spectral efficiency (SE) of its communication channels. A key technology used to improve SE substantially is the multiple input multip
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Shinkevich, Artem, Dmitry A. Pokamestov, Yakov V. Kryukov, Evgeny V. Rogozhnikov, Georgy N. Shalin, and Andrey A. Brovkin. "Evaluation of noise immunity of multi-user MIMO systems with imperfect channel estimation and other distortions." Radioelectronics. Nanosystems. Information Technologies. 15, no. 4 (2023): 441–52. http://dx.doi.org/10.17725/rensit.2023.15.441.

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The technology of multi-antenna MIMO (Multiple Input Multiple Output) systems is actively used in modern wireless communication systems. MIMO can enhance the performance of wireless data transmission systems, but their effectiveness depends on the transmission conditions. Ideal conditions are represented as a channel with a large number of possible signal propagation paths and an error-free estimation of its parameters. The estimation error significantly affects the performance of the beamforming algorithms used to mitigate inter-user interference in multi-user MIMO (MU-MIMO) systems. Spatial
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Chen, Fang Ni. "Optimization of Multiuser MIMO Relay Systems." Advanced Materials Research 765-767 (September 2013): 2874–77. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2874.

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Multiple inputs and multiple outputs (MIMO) relay cooperative transmission, as an efficient solution for high data rate and ubiquitous coverage, is a promising key technology for next generation wireless system. The performance of MIMO relay network is dependent on the signal processing approaches adopted by relay nodes. It is more complex when multiple users are active in MIMO relay network. Considering the minimum MSE problem, two sub-optimal algorithms are proposed based on the properties of relay filters. The simulation results the sub-optimal algorithms give similar results as optimal one
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Liu, Li, Jin Kuan Wang, Xin Song, and Yin Hua Han. "Improved Stack Algorithm for MIMO Systems." Applied Mechanics and Materials 333-335 (July 2013): 666–69. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.666.

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Multiple input multiple output (MIMO) systems could increase wireless communication system capacity enormously. The best optimal detection algorithm for MIMO systems was maximum likelihood (ML) detection algorithm, which could provide the best bit error rate (BER) performance for MIMO systems. However, the computational complexity of ML detection algorithm grew exponentially with the number of transmit antennas and the order of modulation, which resulted in difficult using for practice. A modified MIMO signal detection algorithm which combined ML detection with stack algorithm was presented in
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RECIOUI, Abdelmadjid. "Capacity Optimization of MIMO Systems Involving Conformal Antenna Arrays using a Search Group Algorithm." Algerian Journal of Signals and Systems 5, no. 4 (2020): 209–14. http://dx.doi.org/10.51485/ajss.v5i4.118.

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MIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systems.
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Bakulin, Mikhail G., Vitaly B. Kreyndelin, and Denis Y. Pankratov. "APPLICATION OF MIMO TECHNOLOGY IN MODERN WIRELESS COMMUNICATION SYSTEMS OF DIFFERENT GENERATIONS." T-Comm 15, no. 4 (2021): 4–12. http://dx.doi.org/10.36724/2072-8735-2021-15-4-4-12.

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Multiple Input Multiple Output (MIMO) technology is widely used in modern IEEE radio access systems. There is a tendency to increase the number of antennas, which is also confirmed by the development of MIMO technology in mobile communication systems of 3GPP standards. Requirements for modern radio communication systems are constantly increasing. As the radio frequency spectrum becomes increasingly scarce, it becomes increasingly difficult to transmit large amounts of information by expanding the frequency channel bandwidth. Therefore, the use of MIMO technology to increase the spectral and en
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Ramírez-Arroyo, Alejandro, Juan Carlos González-Macías, Jose J. Rico-Palomo, Javier Carmona-Murillo, and Antonio Martínez-González. "On the Spectral Efficiency for Distributed Massive MIMO Systems." Applied Sciences 11, no. 22 (2021): 10926. http://dx.doi.org/10.3390/app112210926.

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Distributed MIMO (D-MIMO) systems are expected to play a key role in deployments for future mobile communications. Together with massive MIMO technology, D-MIMO aims to maximize the spectral efficiency and data rate in mobile networks. This paper proposes a deep study on the spectral efficiency of D-MIMO systems for essential channel parameters, such as the channel power balance or the correlation between propagation channels. For that purpose, several propagation channels were acquired in both anechoic and reverberation chambers and were emulated using channel simulators. In addition, several
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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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Sharma, Preeti, Rakesh N. Tiwari, Prabhakar Singh, Pradeep Kumar, and Binod K. Kanaujia. "MIMO Antennas: Design Approaches, Techniques and Applications." Sensors 22, no. 20 (2022): 7813. http://dx.doi.org/10.3390/s22207813.

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The excessive use of digital platforms with rapidly increasing users in the wireless domain enforces communication systems to provide information with high data rates, high reliability and strong transmission connection quality. Wireless systems with single antenna elements are not able to accomplish the desired needs. Therefore, multiple-input multiple-output (MIMO) antennas are getting more attention in modern high-speed communication systems and play an essential part in the current generation of wireless technology. However, along with their ability to significantly increase channel capaci
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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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Shoukat, Hamna, Abdul Ahad Khurshid, Muhammad Yunis Daha, Kamal Shahid, and Muhammad Usman Hadi. "A Comparative Analysis of DNN and Conventional Signal Detection Techniques in SISO and MIMO Communication Systems." Telecom 5, no. 2 (2024): 487–507. http://dx.doi.org/10.3390/telecom5020025.

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This paper investigates the performance of deep neural network (DNN)-based signal detection in multiple input, multiple output (MIMO), communication systems. MIMO technology plays a critical role in achieving high data rates and improved capacity in modern wireless communication standards like 5G. However, signal detection in MIMO systems presents significant challenges due to channel complexities. This study conducts a comparative analysis of signal detection techniques within both the single input, single output (SISO), and MIMO frameworks. The analysis focuses on the entire transmission cha
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Su, Xin, and KyungHi Chang. "Diversity and Multiplexing Technologies by 3D Beams in Polarized Massive MIMO Systems." Mobile Information Systems 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/2318287.

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Massive multiple input, multiple output (M-MIMO) technologies have been proposed to scale up data rates reaching gigabits per second in the forthcoming 5G mobile communications systems. However, one of crucial constraints is a dimension in space to implement the M-MIMO. To cope with the space constraint and to utilize more flexibility in 3D beamforming (3D-BF), we propose antenna polarization in M-MIMO systems. In this paper, we design a polarized M-MIMO (PM-MIMO) system associated with 3D-BF applications, where the system architectures for diversity and multiplexing technologies achieved by p
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39

Feng, Chieh-Chuan. "MIMO Systems with Degraded Actuators and Sensors." International Journal of Trend in Scientific Research and Development Volume-1, Issue-5 (2017): 90–96. http://dx.doi.org/10.31142/ijtsrd2247.

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40

Dai, Jian Xin, Jun Zhou, Jie Qi, Ming Chen, Tao Yuan, and Jun Zhao. "Optimal Power Analysis of Downlink Multi-User SA-MIMO Systems Use." Applied Mechanics and Materials 614 (September 2014): 530–34. http://dx.doi.org/10.4028/www.scientific.net/amm.614.530.

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This paper investigated the problem of transmit power minimization to meet the users’ outage probability constraints in downlink smart antennas-MIMO (SA-MIMO) systems. Firstly, a downlink multi-user SA-MIMO system model is established, and the transmit power optimization problem is formulated. The optimization problem jointly optimizes the beam-forming vectors and user outage probability. Then, the outage-based optimization problem is transformed into a geometric programming problem in which the beam forming vectors were obtained by maximum diagonal element (MDE) rule. Some numerical results s
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41

Chen, Zhuoqi, Yuhe Liu, Xiang Yi, and Ruiqin Zhao. "Angular Circle Array Multiple Input Multiple Output Underwater Optical Wireless Communications." Photonics 12, no. 1 (2024): 12. https://doi.org/10.3390/photonics12010012.

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This paper constructs a simulation platform for underwater wireless optical single-input single-output (SISO) communication systems and quantitatively evaluates communication performance indicators. To improve channel capacity, we propose an angular circle array MIMO scheme. The path loss, CIR, and channel capacity of the angular circular array MIMO communication system are calculated by using the Monte Carlo method. Results show that the proposed angular circular array MIMO communication system has a higher channel capacity compared to planar circular array MIMO communication systems and SISO
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42

Wang, Qianya, and Hongwen Yang. "A Switched Diversity Scheme for Massive MIMO Systems." International Journal of Antennas and Propagation 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/627275.

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Abstract (sommario):
With the constraint of antenna space, spatial correlation and mutual coupling must be considered to accurately predict the system performance for massive MIMO systems. Increasing the antenna quantity can degrade the system performance due to mutual coupling. Antenna selection systems have better performance and lower hardware cost than full-MIMO systems. However, the conventional selection combining (SC) scheme consumes a great amount of training overhead and has high operational complexity in the presence of mutual coupling. This paper proposes a group switch-and-examine combining (GSEC) sche
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43

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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44

Jit Singh, Mandeep Singh, Wan Syahrum Wan Saleh, Amer T. Abed, and Muhammad Ashraf Fauzi. "A Review on Massive MIMO Antennas for 5G Communication Systems on Challenges and Limitations." Jurnal Kejuruteraan 35, no. 1 (2023): 95–103. http://dx.doi.org/10.17576/jkukm-2023-35(1)-09.

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High data rate transfers, high-definition streaming, high-speed internet, and the expanding of the infrastructure such as the ultra-broadband communication systems in wireless communication have become a demand to be considered in improving quality of service and increase the capacity supporting gigabytes bitrate. Massive Multiple-Input Multiple-Output (MIMO) systems technology is evolving from MIMO systems and becoming a high demand for fifth-generation (5G) communication systems and keep expanding further. In the near future, massive MIMO systems could be the main wireless systems of communi
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45

Wang, Zhaocheng, and Jiaxuan Chen. "Networked multiple-input-multiple-output for optical wireless communication systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (2020): 20190189. http://dx.doi.org/10.1098/rsta.2019.0189.

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Abstract (sommario):
With the escalation of heterogeneous data traffic, the research on optical wireless communication (OWC) has attracted much attention, owing to its advantages such as wide spectrum, low power consumption and high security. Ubiquitous optical devices, e.g. light-emitting diodes (LEDs) and cameras, are employed to support optical wireless links. Since the distribution of these optical devices is usually dense, multiple-input-multiple-output (MIMO) can be naturally adopted to attain spatial diversity gain or spatial multiplexing gain. As the scale of OWC networks enlarges, optical MIMO can also co
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46

Vaigandla, Karthik Kumar, RadhaKrishna Karne, and Allanki Sanyasi Rao. "Analysis of MIMO-OFDM: Effect of Mutual Coupling, Frequency Response, SNR and Channel Capacity." YMER Digital 20, no. 10 (2021): 118–26. http://dx.doi.org/10.37896/ymer20.10/14.

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Abstract (sommario):
Systematic analysis of systems with Multiple Inputs and Multiple Outputs (MIMO) is presented in this paper. MIMO systems and various techniques for decoupling are discussed, including their effect on performance. As wireless communications systems progress, the challenge is to deliver high-data-rate access with good quality of service (QOS). MIMO technology can also offer greater reliability by boosting the link due to increased spectral efficiency; this can be met by incorporating spatial multiplexing gains and antenna diversity gains. OFDM signals can be used with antenna arrays at both tran
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47

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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Abstract (sommario):
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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48

Waseem, Athar, Aqdas Naveed, Sardar Ali, Muhammad Arshad, Haris Anis, and Ijaz Mansoor Qureshi. "Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems." Wireless Communications and Mobile Computing 2019 (May 27, 2019): 1–15. http://dx.doi.org/10.1155/2019/6374764.

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Abstract (sommario):
Massive multiple-input multiple-output (MIMO) is believed to be a key technology to get 1000x data rates in wireless communication systems. Massive MIMO occupies a large number of antennas at the base station (BS) to serve multiple users at the same time. It has appeared as a promising technique to realize high-throughput green wireless communications. Massive MIMO exploits the higher degree of spatial freedom, to extensively improve the capacity and energy efficiency of the system. Thus, massive MIMO systems have been broadly accepted as an important enabling technology for 5th Generation (5G
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49

Chen, Xiaoming, Hua Wang, Wei Fan, et al. "Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators." Wireless Communications and Mobile Computing 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/8238234.

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Abstract (sommario):
The effects of oscillator phase noises (PNs) on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are studied. It is shown that PNs of common oscillators at the transmitter and at the receiver have the same influence on the performance of (single-stream) beamforming MIMO-OFDM systems, yet different influences on spatial multiplexing MIMO-OFDM systems with singular value decomposition (SVD) based precoding/decoding. When each antenna is equipped with an independent oscillator, the PNs at the transmitter and at the receiver have different influences
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50

Bakulin, Mikhail G., Vitaly B. Kreyndelin, and Andrey A. Reznev. "Extended orthogonal feedback precoding for spatial multiplexing systems." Radioelectronics. Nanosystems. Information Technologies. 15, no. 3 (2023): 235–42. http://dx.doi.org/10.17725/rensit.2023.15.235.

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Abstract (sommario):
Various methods of generating of space-time codes and algebraic structures for increasing noise immunity of MIMO communication systems with a large number of transmitting and receiving antennas are considered. The possibility of generation of an orthogonal precoding matrix in MIMO systems depending on changing reception conditions in a radio channel using feedback from a transmitter to a receiver is shown. It is obtained that to transmit such a precoding matrix in MIMO systems with 4×4, 8×8, 16×16 antenna configurations, feedback is required with the ability to transmit only 2 bits on the reve
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