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Journal articles on the topic 'MIMO systems. Algorithms. Wireless communication systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Fedosov, Valentin, Andrey Legin, and Anna Lomakina. "Adaptive algorithm based on antenna arrays for radio communication systems." Serbian Journal of Electrical Engineering 14, no. 3 (2017): 301–12. http://dx.doi.org/10.2298/sjee1703301f.

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Trends in the modern world increasingly lead to the growing popularity of wireless technologies. This is possible due to the rapid development of mobile communications, the Internet gaining high popularity, using wireless networks at enterprises, offices, buildings, etc. It requires advanced network technologies with high throughput capacity to meet the needs of users. To date, a popular destination is the development of spatial signal processing techniques allowing to increase spatial bandwidth of communication channels. The most popular method is spatial coding MIMO to increase data transmis

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Farzamnia, Ali, Ngu War Hlaing, Lillian Eda Kong, Manas Kumar Haldar, and Tohid Yousefi Rezaii. "Investigation of error performance in network coded MIMO-VBLAST wireless communication systems." Journal of Electrical Engineering 70, no. 4 (2019): 273–84. http://dx.doi.org/10.2478/jee-2019-0057.

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Abstract Paper aims to enhance the performance of bit error rate (BER) in wireless communication based on the multiple-input multiple-output (MIMO) system of vertical Bell laboratories layered space-time (VBLAST) algorithm. The VBLAST algorithm uses zero-forcing (ZF) and the minimum mean square error (MMSE) to evaluate the BER of wireless communication. MIMO VBLAST techniques function as an adaptive filter and can minimize the interference and multipath fading in the received signal of the channel. Physical layer network coding (PNC) is a new technique used to exploit the spatial diversity of

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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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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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Vien, Nguyen Duy-Nhat. "A Beamforming Algorithm for MIMO SWIPT Systems." JOIV : International Journal on Informatics Visualization 2, no. 3 (2018): 110. http://dx.doi.org/10.30630/joiv.2.3.127.

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Efficient usage of energy resources is a growing concern in today’s communication systems. Energy harvesting is a new paradigm and allows the nodes to recharge their batteries from the environment. In this paper, we focus on the design of optimal linear beamformer for multi- input multi-output (MIMO) simultaneous wireless information and power transfer (SWIPT) system. We formulate the problem of maximizing the information rate while keeping the energy harvested at the energy receivers above given levels. Finally, simulation results demonstrate the efﬁciency of the proposed algorithm.

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Khan, Imran, Mohammed H. Alsharif, Mohammad Haseeb Zafar, et al. "An Efficient Algorithm for mmWave MIMO Systems." Symmetry 11, no. 6 (2019): 786. http://dx.doi.org/10.3390/sym11060786.

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Efficient and Symmetry based precoding plays a key role in wireless communications. In order to improve the transmission performance of multi-user millimeter wave Multiple-Input Multiple-Output (MIMO) (MU-mmWave MIMO) systems, this paper proposes an analog precoding scheme for the receiver of mmWave MIMO with split sub-array hybrid analog and digital architecture. Then, we propose a hybrid analog and digital precoding algorithm based on channel reciprocity (APoCR) to maximize the spectral efficiency by utilizing the triple joint optimization problem, which can be divided into the analog and di

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Muramatsu, Fumiya, Kentaro Nishimori, Ryotaro Taniguchi, Takefumi Hiraguri, and Tsutomu Mitsui. "Evaluation of Multi-Beam Massive MIMO Considering MAC Layer Using IEEE802.11ac and FDD-LTE." Electronics 8, no. 2 (2019): 225. http://dx.doi.org/10.3390/electronics8020225.

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Massive multiple-input multiple-output (MIMO) transmission has attracted attention as a key technology for use in fifth-generation mobile communication systems. Multi-beam massive MIMO systems that apply beam selection in analog components and blind algorithms in digital components to eliminate the requirement for channel state information have been proposed as a method for reducing overhead. In this study, we developed an adaptive modulation scheme for implementing multi-beam massive MIMO and used computer simulation to compare it with digital and analog–digital hybrid beam-forming methods. T

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Gimmler-Dumont, Christina, Frank Kienle, Bin Wu, and Guido Masera. "A System View on Iterative MIMO Detection: Dynamic Sphere Detection versus Fixed Effort List Detection." VLSI Design 2012 (April 22, 2012): 1–14. http://dx.doi.org/10.1155/2012/826350.

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Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatial multiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatial multiplexing. The major difference between different MIMO detectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back from the channel d

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9

J, Sivasankari, Sridevi B, and Mahima L. "Optimization of Massive MIMO-OFDM Systems for PAPR Reduction." Bulletin of Scientific Research 2, no. 2 (2020): 29–35. http://dx.doi.org/10.34256/bsr2024.

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Of late there has been an increase in use of wireless communication system. The recent approach used is Massive-MIMO technology. But in the current scenario where spectrum is limited, the demand for high data degrades the quality of services. Therefore, OFDM system was proposed. Though coupling OFDM system with MIMO can further improve the performance of next generation wireless systems, there are certain issues like antenna design, channel estimation, PAPR etc. which requires due consideration. Amongst them, PAPR is the major problem that contributes high in performance degradation. To overco

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Dr. V. Arthi. "A Novel Channel Estimation Technique in MIMO-OFDM Mobile Communication Systems." International Journal of New Practices in Management and Engineering 9, no. 02 (2020): 08–14. http://dx.doi.org/10.17762/ijnpme.v9i02.84.

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4G Wireless communication systems have the inherent capability to foster the multimedia services in terms of bandwidth and data rate. These systems have very high integrity compared to the conventional wireless communication systems. It can fully support extended multimedia services with High Definition quality, audio and video files. Wireless internet and other broad band services provided superior quality signal transmission and reception. The degree of freedom enjoyed by the technology in terms of scalability and reliability is highly commendable. Any basic wireless transmitter sends inform

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Wu, Junhua, Dandan Lin, Guangshun Li, Yuncui Liu, and Yanmin Yin. "Distributed Link Scheduling Algorithm Based on Successive Interference Cancellation in MIMO Wireless Networks." Wireless Communications and Mobile Computing 2019 (June 19, 2019): 1–12. http://dx.doi.org/10.1155/2019/9083282.

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The performance of multiple input multiple output (MIMO) wireless networks is limited mainly by concurrent interference among sensor nodes. Effective link scheduling algorithms with the technology of successive interference cancellation (SIC) can maximize throughput in MIMO wireless networks. Most previous works on link scheduling in MIMO wireless networks did not consider SIC. In this paper, we propose a MIMO-SIC (MSIC) algorithm under the SINR model. First, a mathematical framework is established for the cross-layer optimization of routing and scheduling, with constraints of traffic balance

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P S, Swapna, Sakuntala S Pillai, and Sreeni K. G. "Resource allocation algorithm for symmetrical services in OFDMA systems." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 867. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp867-874.

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<p><span>The widespread acceptance of symmetrical services has urged for performance betterment techniques in wireless communication systems. In this paper, we propose an algorithm for resource allocation in MIMO-OFDMA system for applications that demand similar quality in uplink and downlink direction. The problem is formulated as multiobjective optimization problem with objectives to maximize the bidirectional data rates for individual users and to minimize the difference between the uplink and downlink data rate for each user. Fairness has been considered as a constraint in the

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Althahab, Awwab Qasim Jumaah, and Sameer Abdul Kadhim Alrufaiaat. "A Comprehensive Review on Various Estimation Techniques for Multi Input Multi Output Channel." Journal of University of Babylon for Engineering Sciences 27, no. 1 (2019): 262–74. http://dx.doi.org/10.29196/jubes.v27i1.1995.

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The problem of wireless channel estimation has been evolving due to some undesirable effects of channel physical properties on transmitted signals. At the receiver end, distortions, delays, attenuations, interferences, and phase shifts are the most issues encounter together with the received signals. In order to overcome channel effects and provide almost a perfect quality of data transmission, channel parameter estimation is needed. In Multiple Input-Multiple Output systems (MIMO), channel estimation is a more complicated step as compared with the Single Input-Single Output systems, SISO, bec

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Konguvel, Elango, and Muniandi Kannan. "A Survey on FFT/IFFT Processors for Next Generation Telecommunication Systems." Journal of Circuits, Systems and Computers 27, no. 03 (2017): 1830001. http://dx.doi.org/10.1142/s0218126618300015.

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The Fast Fourier Transform and Inverse Fast Fourier Transform (FFT/IFFT) are the most significant digital signal processing (DSP) techniques used in Orthogonal Frequency Division Multiplexing (OFDM)-based applications which include day-to-day wired/wireless communications, broadband access, and information sharing. The advancements in telecommunication technologies require an efficient FFT/IFFT processing device to meet the necessary specifications which depend on the particular application. A real-time implementation of high-speed FFT/IFFT processor with less area that operates in minimal pow

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15

Saraereh, Omar A., Imran Khan, Byung Moo Lee, and Ashraf Tahat. "Efficient Pilot Decontamination Schemes in 5G Massive MIMO Systems." Electronics 8, no. 1 (2019): 55. http://dx.doi.org/10.3390/electronics8010055.

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Massive Multiple-input Multiple-output (MIMO) is an emerging technology for the 5G wireless communication systems which has the potential to provide high spectral efficient and improved link reliability and accommodate large number of users. Aiming at the problem of pilot contamination in massive MIMO systems, this paper proposes two algorithms to mitigate it. The first algorithm is depending on the idea of Path Loss to perform User Grouping (PLUG) which divide the users into the center and edge user groups depending on different levels of pilot contamination. It assigns the same pilot sequenc

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16

Khan, Imran, Shagufta Henna, Nasreen Anjum, et al. "An Efficient Precoding Algorithm for mmWave Massive MIMO Systems." Symmetry 11, no. 9 (2019): 1099. http://dx.doi.org/10.3390/sym11091099.

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Symmetrical precoding and algorithms play a vital role in the field of wireless communications and cellular networks. This paper proposed a low-complexity hybrid precoding algorithm for mmWave massive multiple-input multiple-output (MIMO) systems. The traditional orthogonal matching pursuit (OMP) has a large complexity, as it requires matrix inversion and known candidate matrices. Therefore, we propose a bird swarm algorithm (BSA) based matrix-inversion bypass (MIB) OMP (BSAMIBOMP) algorithm which has the feature to quickly search the BSA global optimum value. It only directly finds the array

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17

Sulttan, Mohammed Qasim. "A New Approach of Detection Algorithm for Reducing Computation Complexity of MIMO systems." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 159. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp159-167.

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<p>Multiple-Input Multiple-Output (MIMO) technique is a key technology to strengthen and achieve high-speed and high-throughput wireless communications. . In recent years, it was observed that frequent detecting techniques could improve the performance (e.g., symbol error rate ‘SER’) of different modern digital communication systems. But these systems faced a problem of high complexity for the practical implementation. To solve the problem of high complexity, this work proposed Frequent Improve K-best Sphere Decoding (FIKSD) algorithm with stopping rule depending on the Manhattan metric.

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18

CHANG, ROBERT CHEN-HAO, HUNG-LIEH CHEN, KUANG-HAO LIN, and MING-FAN WEI. "RECURSIVE QR DECOMPOSITION ARCHITECTURE FOR MIMO-OFDM DETECTION SYSTEMS." Journal of Circuits, Systems and Computers 22, no. 02 (2013): 1250078. http://dx.doi.org/10.1142/s0218126612500788.

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This paper presents a modified implementation of QR decomposition for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) detection based on the Givens rotation method. The QR decomposition hardware is constructed using the coordinate rotation digital computer (CORDIC) algorithm operating with fewer gate counts and lower power consumption than do triangular systolic array (TSA) structures. Accurate signal transmission is essential to wireless communication systems. Thus, a more effective data detection algorithm and precise channel estimation method play vital

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Eneh, T., P. Rapajic, K. Anang, and Bello Lawal. "Adaptive MMSE Multiuser Detection in MIMO OFDM Wireless Communication System." Advanced Materials Research 367 (October 2011): 233–40. http://dx.doi.org/10.4028/www.scientific.net/amr.367.233.

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The combination of MIMO signal processing with OFDM is a solution to achieving high data rates for next generation wireless communication systems operating in frequency selective fading environments. To realize the extension of the MIMO with OFDM, a number of changes are required in the baseband signal processing. The developed adaptive Multiuser Detection in MIMO OFDM(AMUD) scheme performs better compared to non adaptive MIMO OFDM, at low Signal to noise ratio (SNR), it shows good performance in computational complexity, bit error rate (BER) and capacity. Simulation results show that the deve

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20

Rohani, Ehsan, Jing Wei Xu, Gwan Choi, and Mi Lu. "Low-Power On-The-Fly Reconfigurable Iterative MIMO Detection and LDPC Decoding Design." Applied Mechanics and Materials 496-500 (January 2014): 1825–29. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1825.

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Manufacturing and operation of wireless systems require a practical solution for achieving low-power and high-performance when using advance communication apparatus such as that using multiple-input and multiple-output (MIMO). Often algorithm solutions achieve very high performance but over only in a narrow range of operating parameters. This paper presents a hardware design of MIMO detection that allows real-time switching between various algorithms and detection effort to achieve high performance over the wide-range of signal to noise ratio (SNR) found in realistic operating conditions. We i

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21

Nguyễn Minh Thường. "An Analysis of Valid Nodes Distribution for Sphere Decoding in the MIMO Wireless Communication System." Journal of Research and Development on Information and Communication Technology 2021, no. 2 (2021): 47–54. http://dx.doi.org/10.32913/mic-ict-research.v2021.n2.985.

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Sphere Decoding (SD) algorithms can achieve a quasi-maximum likelihood (ML) decoder performance over Gaussian multiple input-multiple output (MIMO) channels with much lower complexity compared to the exhaustive search method. The SD algorithm is based on a closest lattice point search over a limited search space (hypersphere). On top of that, QR-decomposition simplifies the SD linear system's matrix to be an upper triangle matrix. The solution solver then is done by searching in the exponentially expanding search tree, started from the top with only a single node then increases by M times ever

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Gu, Yebo, Zhilu Wu, and Zhendong Yin. "Secrecy-Capacity-Optimization-Artificial-Noise in Large-Scale MIMO: Ergodic Lower Bound on Secrecy Capacity and Optimal Power Allocation." Wireless Communications and Mobile Computing 2021 (August 19, 2021): 1–14. http://dx.doi.org/10.1155/2021/9420982.

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The security of wireless information transmission in large-scale multi-input and multioutput (MIMO) is the focus of research in wireless communication. Recently, a new artificial noise—SCO-AN which shows no orthogonality to the channel, is proposed to overcome the shortcomings of traditional artificial noise. In the previous research, the optimization function of SCO-AN is not convex, and its extremum cannot be obtained. Usually, nonconvex optimization algorithms or iterative relaxation algorithms are used to get the maximum value of the optimization objective function. Nonconvex optimization

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Khairy, Muhammad S., Chung-An Shen, Ahmed M. Eltawil, and Fadi J. Kurdahi. "Algorithms and Architectures of Energy-Efficient Error-Resilient MIMO Detectors for Memory-Dominated Wireless Communication Systems." IEEE Transactions on Circuits and Systems I: Regular Papers 61, no. 7 (2014): 2159–71. http://dx.doi.org/10.1109/tcsi.2014.2298273.

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Ajib, W., and D. Haccoun. "An overview of scheduling algorithms in MIMO-based fourth-generation wireless systems." IEEE Network 19, no. 5 (2005): 43–48. http://dx.doi.org/10.1109/mnet.2005.1509951.

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Recioui, Abdelmadjid, and Hamid Bentarzi. "Capacity Optimization of MIMO Wireless Communication Systems Using a Hybrid Genetic-Taguchi Algorithm." Wireless Personal Communications 71, no. 2 (2012): 1003–19. http://dx.doi.org/10.1007/s11277-012-0857-2.

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Lee, Byung-Jin, Sang-Lim Ju, Nam-il Kim, and Kyung-Seok Kim. "Enhanced Transmit-Antenna Selection Schemes for Multiuser Massive MIMO Systems." Wireless Communications and Mobile Computing 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/3463950.

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Massive multiple-input multiple-output (MIMO) systems are a core technology designed to achieve the performance objectives defined for 5G wireless communications. They achieve high spectral efficiency, reliability, and diversity gain. However, the many radio frequency chains required in base stations equipped with a high number of transmit antennas imply high hardware costs and computational complexity. Therefore, in this paper, we investigate the use of a transmit-antenna selection scheme, with which the number of required radio frequency chains in the base station can be reduced. This paper

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Lonkeng, Alban Doumtsop, and Jie Zhuang. "Two-Dimensional DOA Estimation Using Arbitrary Arrays for Massive MIMO Systems." International Journal of Antennas and Propagation 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/6794920.

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With the quick advancement of wireless communication networks, the need for massive multiple-input-multiple-output (MIMO) to offer adequate network capacity has turned out to be apparent. As a portion of array signal processing, direction-of-arrival (DOA) estimation is of indispensable significance to acquire directional data of sources and to empower the 3D beamforming. In this paper, the performance of DOA estimation for massive MIMO systems is analyzed and compared using a low-complexity algorithm. To be exact, the 2D Fourier domain line search (FDLS) MUSIC algorithm is studied to mutually

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Liu, Li, Jin Kuan Wang, Xin Song, Ying Hua Han, and Dong Mei Yan. "Sorted QR-Decomposition Based Parallel Detection Algorithm for MIMO Systems." Applied Mechanics and Materials 427-429 (September 2013): 591–95. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.591.

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Multiple input multiple output (MIMO) wireless communication system can increase system capacity enormously. Maximum likelihood (ML) detection algorithm can obtain the optimal detection performance with exponential computational complexity that results it difficulty to use in practice. Classical ordered successive interference cancellation (SIC) algorithm suffers from error propagation and high complexity, so an improved parallel SIC algorithm based on Maximum likelihood (ML) detection is proposed, in which signal detection is performed at two stages. ML detections for one layer is carried out

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Ren, Yuan, Xuewei Zhang, and Meruyert Makhanbet. "Interference Alignment Inspired Opportunistic Communications in Multi-Cluster MIMO Networks with Wireless Power Transfer." Information 12, no. 8 (2021): 335. http://dx.doi.org/10.3390/info12080335.

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In this work, we jointly investigate the issues of node scheduling and transceiver design in a sensor network with multiple clusters, which is endowed with simultaneous wireless information and power transfer. In each cluster of the observed network, S out of N nodes are picked, each of which is capable of performing information transmission (IT) via uplink communications. As for the remaining idle nodes, they can harvest energy from radio-frequency signals around their ambient wireless environments. Aiming to boost the intra-cluster performance, we advocate an interference alignment enabled o

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Taneja, Ashu, and Nitin Saluja. "A practical approach to improve product of energy efficiency and capacity rate in MU-MIMO systems." International Journal of Pervasive Computing and Communications 16, no. 2 (2020): 183–202. http://dx.doi.org/10.1108/ijpcc-03-2019-0032.

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Purpose The major challenges in the modern-day wireless communication systems are increased co-channel interference owing to large number of users and the increased energy consumption owing to high circuit and/or hardware power consumption. Hence, the purpose of this paper is to present a practical approach involving linear precoding, channel estimation, user selection (US) and transmit antenna selection (AS) for enhanced reliability in multiuser multiple-input multiple output (MU-MIMO) system. Design/methodology/approach The proposed technique considers systematic and optimum deployment of us

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Ali, I., U. Wasenmüller, and N. Wehn. "A high throughput architecture for a low complexity soft-output demapping algorithm." Advances in Radio Science 13 (November 3, 2015): 73–80. http://dx.doi.org/10.5194/ars-13-73-2015.

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Abstract. Iterative channel decoders such as Turbo-Code and LDPC decoders show exceptional performance and therefore they are a part of many wireless communication receivers nowadays. These decoders require a soft input, i.e., the logarithmic likelihood ratio (LLR) of the received bits with a typical quantization of 4 to 6 bits. For computing the LLR values from a received complex symbol, a soft demapper is employed in the receiver. The implementation cost of traditional soft-output demapping methods is relatively large in high order modulation systems, and therefore low complexity demapping a

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Rizk, Mostafa, Amer Baghdadi, and Michel Jézéquel. "Computational Complexity Reduction of MMSE-IC MIMO Turbo Detection." Journal of Circuits, Systems and Computers 28, no. 13 (2019): 1950228. http://dx.doi.org/10.1142/s0218126619502281.

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High data rates and error-rate performance approaching close to theoretical limits are key trends for evolving digital wireless communication applications. To address the first requirement, multiple-input multiple-output (MIMO) techniques are adopted in emergent wireless communication standards and applications. On the other hand, turbo concept is used to alleviate the destructive effects of the channel and ensure error-rate performance close to theoretical limits. At the receiver side, the incorporation of MIMO techniques and turbo processing leads to increased complexity that has a severe im

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Pavia, João Pedro, Vasco Velez, Renato Ferreira, et al. "Low Complexity Hybrid Precoding Designs for Multiuser mmWave/THz Ultra Massive MIMO Systems." Sensors 21, no. 18 (2021): 6054. http://dx.doi.org/10.3390/s21186054.

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Millimeter-wave and terahertz technologies have been attracting attention from the wireless research community since they can offer large underutilized bandwidths which can enable the support of ultra-high-speed connections in future wireless communication systems. While the high signal attenuation occurring at these frequencies requires the adoption of very large (or the so-called ultra-massive) antenna arrays, in order to accomplish low complexity and low power consumption, hybrid analog/digital designs must be adopted. In this paper we present a hybrid design algorithm suitable for both mmW

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Duangsuwan, Sarun, and Sathaporn Promwong. "Performance Weighted of CMA Algorithm Based on MIMO Channel Measurement for 2.45 GHz Wireless RFID System." Applied Mechanics and Materials 781 (August 2015): 20–23. http://dx.doi.org/10.4028/www.scientific.net/amm.781.20.

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The constant modulus algorithm (CMA) is an unsupervised adaptive filter that achieves interference cancellation in multiple input multiple output (MIMO) communication systems. This paper studies the performance weighted of CMA algorithm based on the measuring data of MIMO channel. By analyzing both the asymptotic mean square error (MSE) and bit error rate (BER) of the efficient weighted channel of the CMA algorithm, also simulation and measurement results are compared with a different of the antenna orientation. Experimental results demonstrate that the CMA algorithm can reduce the MSE and BER

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Zhao, Feng, Hongsheng Wu, Hongbin Chen, and Wen Wang. "Game-Theoretic Beamforming and Power Allocation in MIMO Cognitive Radio Systems with Transmitter Antenna Correlation." Mobile Information Systems 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/427847.

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Multi-input multioutput (MIMO) technique provides a promising solution to enhance the performance of wireless communication systems. In this paper, we consider antenna correlation at the transmitter in practical cognitive MIMO systems. What is more, a game-theoretic framework is conducted to analyze the optimum beamforming and power allocation such that each user maximizes its own rate selfishly under the transmitting power constraint and the primary user (PU) interference constraint. The design of the cognitive MIMO system is formulated as a noncooperative game, where the secondary users (SUs

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Amhaimar, Lahcen, Saida Ahyoud, Ali Elyaakoubi, Abdelmoumen Kaabal, Kamal Attari, and Adel Asselman. "PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems." Journal of Electrical and Computer Engineering 2018 (September 3, 2018): 1–11. http://dx.doi.org/10.1155/2018/3075890.

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The transceiver combination technology, of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO), provides a viable alternative to enhance the quality of service and simultaneously to achieve high spectral efficiency and data rate for wireless mobile communication systems. However, the high peak-to-average power ratio (PAPR) is the main concern that should be taken into consideration in the MIMO-OFDM system. Partial transmit sequences (PTSs) is a promising scheme and straightforward method, able to achieve an effective PAPR reduction performance, but it r

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Sergeev, A. M., and N. Sh Blaunstein. "Evolution of multiple-access networks cellular and non-cellular — in historical perspective. Part 1." Information and Control Systems, no. 4 (September 23, 2018): 86–104. http://dx.doi.org/10.31799/1684-8853-2018-4-86-104.

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Introduction:The goal of this review is the analysis of evolution of the current and novel wireless networks, from secondgeneration (2D)tofifth generation(5G),as well as changes in technologies and their corresponding theoretical background andprotocols -from Bluetooth, WLAN, WiFi and WiMAXtoLTE, OFDM/OFDMA, MIMO and LTE/MIMO advanced technologies with new hierarchy of cellular maps design — femto/pico/micro/macro.Methods:We use new theoretical frameworkstodescribe advanced technologies, such as multicarrier diversity technique, OFDM and OFDM novel approach, new aspects ofMIMO description base

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Li, Guo Yan, and You Guang Zhang. "Efficient Antenna Selection in MIMO Correlated Channels." Advanced Materials Research 429 (January 2012): 242–48. http://dx.doi.org/10.4028/www.scientific.net/amr.429.242.

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Multiple-input multiple-output (MIMO) systems can bring many advantages to wireless communication but suffer from high cost and complexity due to the multiple RF chains. In such systems, antenna selection is introduced as a technique to ease these problems.This paper addressedthe problem of antenna selection in spatially correlated channels. We propose an effective antenna selection method in terms of capacity maximization based on the transmit and/or the receive correlation matrix instead of the instantaneous channel state information (ICSI).Simulations will be used to validate our analysis a

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Galih, Savitri, ., and . "Low Complexity Interference Alignment for Distributed Large-Scale MIMO Hardware Architecture and Implementation for 5G Communication." International Journal of Engineering & Technology 7, no. 4.33 (2018): 208. http://dx.doi.org/10.14419/ijet.v7i4.33.23561.

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Massive MIMO or Large Scale MIMO is a promising solution for achieving superior data rates in 5G communication systems. However, it has limitation in term of scalability and coverage for users that has highly spatial separation. Distributed massive MIMO is expected to enhance these drawbacks. One main problem arises in this scheme is the MIMO interference channel condition that can be copied by interference alignment algorithm. The main consideration for interference alignment algorithm in distributed Massive MIMO is to achieve low complexity precoding to eliminate interference channel conditi

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Praba, N., and K. M. Ravikumar. "PAPR Reduction at Large Multi-User-MIMO-OFDM using Adaptive Data Detection Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (2018): 1071. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1071-1080.

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<span>Wireless communication in present era contains large-scale MIMO network architecture that need to deliver an optimize-QoS to multi-user (MU). <br /> The optimize data rate transmission in massive MU-MIMO wireless systems is one of the most difficult task due to the extremely high implementation complexity. The practical wireless system channels generally exhibits the PAPR and frequency selective fading, it is also necessary to have a precoding solution in PAPR for the selected desirable channels. A solution for the designed problem of a noble error-correcting code for OFDM pr

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Cogalan, T., H. Haas, and E. Panayirci. "Optical spatial modulation design." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (2020): 20190195. http://dx.doi.org/10.1098/rsta.2019.0195.

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Visible light communication (VLC) systems are inherently signal-to-noise ratio (SNR) limited due to link budget constraints. One favourable method to overcome this limitation is to focus on the pre-log factors of the channel capacity. Multiple-input multiple-output (MIMO) techniques are therefore a promising avenue of research. However, inter-channel interference in MIMO limits the achievable capacity. Spatial modulation (SM) avoids this limitation. Furthermore, the performance of MIMO systems in VLC is limited by the similarities among spatial channels. This limitation becomes particularly se

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Duy Nhat Vien, Nguyen. "MMSE Beamforming Design for IoT MIMO SWIPT System." Journal of Science and Technology: Issue on Information and Communications Technology 4, no. 1 (2018): 28. http://dx.doi.org/10.31130/jst.2018.69.

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Internet of Things (IoT) is a smart infrastructure of the unique identification device capable of wireless communication with each other, and human services on a large scale through the Internet. The IoT devices themselves must self-aware and harvest the energy they need from ambient sources. Simultaneous wireless information and power transfer (SWIPT) is a promising new solution to provide an opportunity for energy-restrained wireless devices to operate uninterruptedly. In this paper, we propose a beamforming approach for Internet of Things (IoT) multi-input multi-output (MIMO) SWIPT downlink

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Sulttan, Mohammed. "Impact of using Infinity-Norm with Initial Radius on Performance and Complexity of SD Algorithm in MIMO systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 6 (2016): 6857–64. http://dx.doi.org/10.24297/ijct.v15i6.1614.

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Â In recent years, the iterative decoding techniques have played a role in improving the performance (e.g., bit error rate) and reducing the complexity of various digital communication systems. Techniques of Multiple-Input Multiple-Output (MIMO) are the main technology to enhance and achieve high-speed, high data rates, improved reliability and coverage in wireless communications. The modern wireless communications require a low complexity system for detection, since a high CPU processing involves more energy consumption and thus less flexibility in mobility terms. The sphere decoding (SD) tec

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Chataut, Robin, Robert Akl, Utpal Kumar Dey, and Mohammadreza Robaei. "SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks." Electronics 10, no. 5 (2021): 578. http://dx.doi.org/10.3390/electronics10050578.

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With the limitedness of the sub-6 GHz bandwidth, the world is exploring a thrilling wireless technology known as massive MIMO. This wireless access technology is swiftly becoming key for 5G, B5G, and 6G network deployment. The massive MIMO system brings together antennas at both base stations and the user terminals to provide high spectral service. Despite the fact that massive MIMO offers astronomical benefits such as low latency, high data rate, improved array gain, and far better reliability, it faces several implementation challenges due to the hundreds of antennas at the base station. The

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Ren, Wei, Guan Gui, and Fei Li. "Normalized Structured Compressed Sensing Based Signal Detection in Spatial Modulation 3D-MIMO Systems." Wireless Communications and Mobile Computing 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/4539470.

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Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which spatial modulation (SM) transmission scheme is considered due to its advantages of low complexity and high-energy efficiency. SM based signal transmission typically results in the block-sparse structure in received signals. Hence, structured compressed sensing (SCS) based signal detection is proposed to exploit the inherent block sparsity information in the received signal fo

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Chauhan, D. V., J. Bhalani, and Y. N. Trivedi. "Improved VBLAST MAP: A Novel Point-to-Point Symbol Detection Algorithm for MIMO Wireless Communication Systems." Radioelectronics and Communications Systems 61, no. 5 (2018): 194–99. http://dx.doi.org/10.3103/s0735272718050023.

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Gu, Yebo, Bowen Huang, and Zhilu Wu. "Power Allocation for Secrecy-Capacity-Optimization-Artificial-Noise Secure MIMO Precoding Systems under Perfect and Imperfect Channel State Information." Applied Sciences 11, no. 10 (2021): 4558. http://dx.doi.org/10.3390/app11104558.

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In this paper, we consider the physical layer security problem of the wireless communication system. For the multiple-input, multiple-output (MIMO) wireless communication system, secrecy capacity optimization artificial noise (SCO−AN) is introduced and studied. Unlike its traditional counterpart, SCO−AN is an artificial noise located in the range space of the channel state information space and thus results in a significant increase in the secrecy capacity. Due to the limitation of transmission power, making rational use of this power is crucial to effectively increase the secrecy capacity. He

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Ahmed, Mujeeb. "Repetition Coding and Equal Power Allocation Scheme for JPEG Image Transmission over MIMO Systems." International Journal of Interdisciplinary Telecommunications and Networking 8, no. 3 (2016): 10–19. http://dx.doi.org/10.4018/ijitn.2016070102.

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Multiple transmit and receive antenna systems have improved the reliability as well as data rate in a wireless communication system. Such advanced wireless architectures have empowered smart devices to fulfill the demand of multimedia content. Image is a major user generated content in wide range of applications, hence reliable transmission of image is an important research problem. New transmission and coding schemes that explore advantages of multiple antenna systems matched with source statistics have been developed. Based on a similar idea, an equal power allocation scheme for transmission

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Zhang, Aihua, Shouyi Yang, and Guan Gui. "Sparse Channel Estimation for MIMO-OFDM Two-Way Relay Network with Compressed Sensing." International Journal of Antennas and Propagation 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/914734.

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Accurate channel impulse response (CIR) is required for equalization and can help improve communication service quality in next-generation wireless communication systems. An example of an advanced system is amplify-and-forward multiple-input multiple-output two-way relay network, which is modulated by orthogonal frequency-division multiplexing. Linear channel estimation methods, for example, least squares and expectation conditional maximization, have been proposed previously for the system. However, these methods do not take advantage of channel sparsity, and they decrease estimation performa

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D, Subitha, and Mathana J M. "Design of Low-Complexity Hybrid Precoder and Inkjet-Printed Antenna Array for Massive MIMO Downlink Systems." International Journal of Antennas and Propagation 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/4315128.

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The dramatically growing mobile communication industry necessitates the demand for the speedy and error-free connectivity at considerably low cost for the billions of users. This is made possible only through the technological advancements that replace the current 4G wireless systems by 5G. Massive MIMO is the key technology used in 5G that offers spectral efficiency of up to 3 times and throughput of up to 10 times the current 4G. The additional antennas used in massive MIMO systems help in many ways but lack in complexity. Hence, in this paper, we propose two design methodologies to reduce t

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