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Journal articles on the topic 'Massives MIMO'

Author: Grafiati

Published: 23 September 2022

Last updated: 31 July 2025

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1

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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Stepanets, I., and G. Fokin. "FEATURES OF MASSIVE MIMO IN 5G NETWORKS." LastMile, no. 1 (2018): 46–52. http://dx.doi.org/10.22184/2070-8963.2018.70.1.46.52.

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3

Jang, Jeong-Uk, Jin-Hyuk Kim, and Cheol Mun. "Analysis of Massive MIMO Wireless Channel Characteristics." Journal of Korea Information and Communications Society 38B, no. 3 (2013): 216–21. http://dx.doi.org/10.7840/kics.2013.38b.3.216.

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Kim, Yongok, and Sooyong Choi. "Performance Analysis of Massive MIMO Systems According to DoF." Journal of Korean Institute of Communications and Information Sciences 40, no. 11 (2015): 2145–47. http://dx.doi.org/10.7840/kics.2015.40.11.2145.

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Jang, Seokju, Han-Bae Kong, and Inkyu Lee. "Pilot Assignment Algorithm for Uplink Massive MIMO Systems." Journal of Korean Institute of Communications and Information Sciences 40, no. 8 (2015): 1485–91. http://dx.doi.org/10.7840/kics.2015.40.8.1485.

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Iliadis, Lazaros Alexios, Zaharias Zaharis, Sotirios Sotiroudis, Panagiotis Sarigiannidis, George K. Karagiannidis, and Sotirios Goudos. "The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems." EURASIP Journal on Wireless Communications and Networking 2022, no. 68 (2022): 1–16. https://doi.org/10.1186/s13638-022-02153-z.

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The fifth generation (5G) of telecommunications networks is currently commercially deployed. One of their core enabling technologies is cellular Massive Multiple-Input-Multiple-Output (M-MIMO) systems. However, future wireless networks are expected to serve a very large number of devices and the current MIMO networks are not scalable, highlighting the need for novel solutions. At this moment, Cell-free Massive MIMO (CF M-MIMO) technology seems to be the most promising idea in this direction. Despite their appealing characteristics, CF M-MIMO systems face their own challenges, such as power all

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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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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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Ohgane, Takeo, Toshihiko Nishimura, and Yasutaka Ogawa. "4. Massive MIMO." Journal of the Institute of Image Information and Television Engineers 70, no. 1 (2016): 17–22. http://dx.doi.org/10.3169/itej.70.17.

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Kim, Dowu, Seokjae Moon, and Jang-Won Lee. "Semi-Orthogonal Random Access for mMTC in Massive MIMO Systems." Journal of Korean Institute of Communications and Information Sciences 46, no. 7 (2021): 1164–72. http://dx.doi.org/10.7840/kics.2021.46.7.1164.

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11

Chung, Jinjoo, Yonghee Han, and Jungwoo Lee. "Adaptive Channel Estimation Techniques for FDD Massive MIMO Systems." Journal of Korean Institute of Communications and Information Sciences 40, no. 7 (2015): 1239–47. http://dx.doi.org/10.7840/kics.2015.40.7.1239.

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12

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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13

Wang, Yiheng. "Massive MIMO Technology in 5G Networks." Highlights in Science, Engineering and Technology 124 (February 18, 2025): 320–25. https://doi.org/10.54097/ve6f6w55.

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This comprehensive collection of articles explores the evolution and strategic implementation of MIMO technologies, focusing on LS-MIMO and mMIMO systems. These systems play pivotal roles in advancing 5G and prospective 6G networks. The articles span a broad spectrum, from theoretical foundations to practical deployment strategies. They explore significant technological innovations such as spectral and energy efficiencies, addressing both current and emerging challenges in the wireless communication sector. The discussion begins with the transition from traditional small-scale MIMO systems to

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Atul, Kumar Mishra* Prof. Saurabh Gaur. "REVIEW OF THE PILOT CONTAMINATION PROBLEM FOR MASSIVE MIMO AND POSSIBLE SOLUTION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 7 (2016): 538–41. https://doi.org/10.5281/zenodo.57041.

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With the increasing demands of data communication speed for different type of data transmission, many revolutions occur with time in wireless communication system. The use of MIMO for wireless data transmission has proven itself for enhancing the capacity of data transmission. The mobile network based on the cell structure also uses the MIMO techniques. Further research in the field of massive MIMO has started for faithful data transmission. The enhancement by massive MIMO encounters many problems related to the implementation. One of the biggest challenges for massive MIMO is the pilot contam

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Dutta, Ragit. "Performance Analysis of Massive MIMO under pilot contamination." Journal of Physics: Conference Series 2327, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2327/1/012051.

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Abstract 5g is fast becoming a reality in the modern world. Telecom companies all around the world are already rolling out 5G in various parts of the world. As of now there are 3 key technologies that will enable us to implement 5G in our surroundings. Massive MIMO is one of them. Massive MIMO focuses on the aspect of improving the spectral efficiency. Tremendous data rates are achievable with spectral efficiency. However there are several bottlenecks in the implementation of Massive MIMO. Pilot Contamination is one of the most prominent issues in massive MIMO. This paper is about addressing t

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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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Druzhinina, N. S., and I. M. Daudov. "Analysis of the massive MIMO technology." Journal of Physics: Conference Series 2061, no. 1 (2021): 012094. http://dx.doi.org/10.1088/1742-6596/2061/1/012094.

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Abstract The article discusses the features of the Massive MIMO technology, the structure of the antenna array, as well as the advantages and example of using the massive MIMO system. The use of Massive MIMO opens up new opportunities and makes a significant contribution to achieving the stated requirements for the further evolution of LTE and 5G.

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Salsabila, Salwa, Rina Pudjiastuti, Levy Olivia Nur, Harfan Hian Ryanu, and Bambang Setia Nugroho. "Scalable modular massive MIMO antenna of rectangular truncated corner patch antenna and circular slotted X patch antenna for 5G antenna communication." JURNAL INFOTEL 15, no. 3 (2023): 274–80. http://dx.doi.org/10.20895/infotel.v15i3.962.

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Massive MIMO Antenna Design results in a very large antenna size that hinders the design process. The arrangement of Massive MIMO Antennas which consists of many antenna elements is a challenge in the design process due to the limited capability of the simulation software and the complicated process. Thus, a scalability technique is used to predict the specification results produced by a Massive MIMO Antenna array with a certain configuration based on a simple MIMO Antenna array with a 2x2, 4x4, 8x8, 16x16 MIMO element configuration scheme, etc. exponential increments. This research will discu

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19

Ibrahim, Sura Khalil, Mandeep Jit Singh, Samir Salem Al-Bawri, et al. "Design, Challenges and Developments for 5G Massive MIMO Antenna Systems at Sub 6-GHz Band: A Review." Nanomaterials 13, no. 3 (2023): 520. http://dx.doi.org/10.3390/nano13030520.

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Massive multiple-input multiple-output (mMIMO) is a wireless access technique that has been studied and investigated in response to the worldwide bandwidth demand in the wireless communication sector (MIMO). Massive MIMO, which brings together antennas at the transmitter and receiver to deliver excellent spectral and energy efficiency with comparatively simple processing, is one of the main enabling technologies for the upcoming generation of networks. To actualize diverse applications of the intelligent sensing system, it is essential for the successful deployment of 5G—and beyond—networks to

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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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21

Et.al, G. Jagga Rao. "Milli meter Wave MIMO-OFDMA Scheme with MMSE-based VEMF in 6G Wireless Technology." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 4701–7. http://dx.doi.org/10.17762/turcomat.v12i3.1890.

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Millimetre Wave (MmWave) massive multiple-input multiple-output (MmWave-massive-MIMO) has developed as beneficial for gigabit-per-second data broadcast into 6G digitized wireless technology. The collection of low-rate and energy-efficient (EE) types of machinery, low power consumptions, multi-bit quantized massive MIMO-Orthogonal Frequency Division Multiplexing Access (OFDMA) structure have been planned for the receiver manner. The main concentration effort is the minimization of a state-of-the-art pilot-symbol quantized (PSQ) massive MIMO-OFDMA system (m-MIMO-OFDM-S). Accordingly, in this ana

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22

Zeydan, Engin, Omer Dedeoglu, and Yekta Turk. "Experimental Evaluations of TDD-Based Massive MIMO Deployment for Mobile Network Operators." IEEE Access 8 (February 1, 2020): 33202–14. https://doi.org/10.1109/ACCESS.2020.2974277.

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Massive Multiple Input Multiple Output (MIMO) is an essential component for future wireless cellular networks. One of its biggest advantages is to use the 5G spectrum more intelligently by extending both coverage (via high gain adaptive beamforming) and capacity (via high order spatial multiplexing). In this paper, we evaluate the performance of Time-division duplex (TDD)-based massive MIMO deployment scenario in one of the commercial sites in Turkey. Our experimental results reveal three major contributions: (i) TDD-based massive MIMO in 10 Mhz reveals up to 212% and 50% higher cell throughpu

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23

Vaigandla, Karthik Kumar, and Dr N. Venu. "Survey on Massive MIMO: Technology, Challenges, Opportunities and Benefits." YMER Digital 20, no. 11 (2021): 271–82. http://dx.doi.org/10.37896/ymer20.11/25.

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Wireless communication technologies have been studied and explored in response to the global shortage of bandwidth in the field of wireless access. Next-generation networks will be enabled by massive MIMO. Using relatively simple processing, it provides high spectral and energy efficiency by combining antennas at the receiver and transmitter. This paper discusses enabling technologies, benefits, and opportunities associated with massive MIMO, and all the fundamental challenges. Global enterprises, research institutions, and universities have focused on researching the 5G mobile communication n

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Ms.Atlanta, Choudhury. "Beam Forming in 5G Frameworks using LTE and 3GPP in Wireless Communication." Journal of Analog and Digital Devices 3, no. 3 (2018): 11–15. https://doi.org/10.5281/zenodo.1480615.

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<em>The access bandwidth is measured from 1.3 MHz up to 20 MHz. The fourth generation (4G) wireless communique systems have been deployed currently though like the spectrum disaster and excessive energy intake are the main reason. Wireless machine designers were dealing with the constantly increasing demand for excessive facts charges and mobility required by means of new wi-fi applications which have device works on fifth generation (5G) wi-fi systems which might be predicted to be deployed beyond 2020. By 5G will require both architectural and component stage design changes. </em>

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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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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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Huang Jingze, 黄竞择, 梁旭文 Liang Xuwen та 谢卓辰 Xie Zhuochen. "基于混合波束赋形的毫米波大规模MIMO信道估计". Laser & Optoelectronics Progress 59, № 5 (2022): 0506002. http://dx.doi.org/10.3788/lop202259.0506002.

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27

Kulshreshtha, Garima, and Usha Chauhan. "Implementation of Massive Multiple-Input Multiple-Output (MIMO) 5G Communication System using Modified Least-Mean-Square (LMS) Adaptive Filters Algorithm." International Journal of Electrical and Electronics Research 12, no. 3 (2024): 905–18. http://dx.doi.org/10.37391/ijeer.120322.

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The massive MIMO systems are the more popular field in the present era for the 5G wireless communication system. The MIMO system is a demanding research topic for the last four decades. This topic is under implementation and observation from the last few years. These systems have many advantages and many research sub-areas but this paper investigates the modified model of the massive MIMO receiver system. The traditional receiver system model of massive MIMO system reduces the channel noise using a linear filter in the receive combiner bank (RCB) but the proposed model removes the channel nois

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Han, Tongzhou, and Danfeng Zhao. "Energy Efficiency of User-Centric, Cell-Free Massive MIMO-OFDM with Instantaneous CSI." Entropy 24, no. 2 (2022): 234. http://dx.doi.org/10.3390/e24020234.

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In the user-centric, cell-free, massive multi-input, multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) system, a large number of deployed access points (APs) serve user equipment (UEs) simultaneously, using the same time–frequency resources, and the system is able to ensure fairness between each user; moreover, it is robust against fading caused by multi-path propagation. Existing studies assume that cell-free, massive MIMO is channel-hardened, the same as centralized massive MIMO, and these studies address power allocation and energy efficiency optimization based on the st

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Jiang, Bin, Bowen Ren, Yufei Huang, Tingting Chen, Li You, and Wenjin Wang. "Energy Efficiency and Spectral Efficiency Tradeoff in Massive MIMO Multicast Transmission with Statistical CSI." Entropy 22, no. 9 (2020): 1045. http://dx.doi.org/10.3390/e22091045.

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As the core technology of 5G mobile communication systems, massive multi-input multi-output (MIMO) can dramatically enhance the energy efficiency (EE), as well as the spectral efficiency (SE), which meets the requirements of new applications. Meanwhile, physical layer multicast technology has gradually become the focus of next-generation communication technology research due to its capacity to efficiently provide wireless transmission from point to multipoint. The availability of channel state information (CSI), to a large extent, determines the performance of massive MIMO. However, because ob

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Sandeep, Kumar Kulkarni, and Yanamshetti Raju. "Surveying on MIMO Technology for Future Wireless Communication." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 4 (2021): 78–83. https://doi.org/10.35940/ijrte.D6525.1110421.

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Massive MIMO is an extension of traditional MIMO with the exception that the BSs in massive MIMO are equipped with large number of antennas, usually hundred or more. This large number of antennas provide several positive advantages towards wireless communication with respect to increasing volume of data traffic. Each antenna is capable of serving multiple users simultaneously leading to reduction in power consumption as well as data rate amplification. Additionally, narrow and more focused beams are pointed to individual user devices located at the cell edge thereby upgrading of downlink signa

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Hu, Qiang, Meixiang Zhang, and Renzheng Gao. "Key Technologies in Massive MIMO." ITM Web of Conferences 17 (2018): 01017. http://dx.doi.org/10.1051/itmconf/20181701017.

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The explosive growth of wireless data traffic in the future fifth generation mobile communication system (5G) has led researchers to develop new disruptive technologies. As an extension of traditional MIMO technology, massive MIMO can greatly improve the throughput rate and energy efficiency, and can effectively improve the link reliability and data transmission rate, which is an important research direction of 5G wireless communication. Massive MIMO technology is nearly three years to get a new technology of rapid development and it through a lot of increasing the number of antenna communicat

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Hong, Jun-Ki. "Performance Analysis of Dual-Polarized Massive MIMO System with Human-Care IoT Devices for Cellular Networks." Journal of Sensors 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/3604520.

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The performance analysis of the dual-polarized massive multiple-input multiple-output (MIMO) system with Internet of things (IoT) devices is studied when outdoor human-care IoT devices are connected to a cellular network via a dual-polarized massive MIMO system. The research background of the performance analysis of dual-polarized massive MIMO system with IoT devices is that recently the data usage of outdoor human-care IoT devices has increased. Therefore, the outdoor human-care IoT devices are necessary to connect with 5G cellular networks which can expect 1000 times higher performance compa

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Liao, Chengjian, Kui Xu, Xiaochen Xia, et al. "Geometry-Based Stochastic Model and Statistical Characteristic Analysis of Cell-Free Massive MIMO Channels." Security and Communication Networks 2022 (October 17, 2022): 1–19. http://dx.doi.org/10.1155/2022/4730044.

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Cell-free massive multi-input multi-output (MIMO) systems exhibit many characteristics that differ from those of traditional centralized massive MIMO systems, and there are still research gaps in the modeling of cell-free massive MIMO channels. In this paper, a geometry-based stochastic model (GBSM) that combines the double-ring model and hemisphere model to comprehensively consider the distribution of scatterers in the environment was proposed for cell-free massive MIMO channels. Combined with the line-of-sight (LoS) path, single scattering path, and double scattering path components, the cha

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Abdul, Haq Nalband, Sarvagya Mrinal, and Riyaz Ahmed Mohammed. "Power saving and optimal hybrid precoding in millimeter wave massive MIMO systems for 5G." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 6 (2020): 2842~2851. https://doi.org/10.12928/TELKOMNIKA.v18i6.15952.

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The proliferation of wireless services emerging from use cases of fifth-generation (5G) technology is posing many challenges on cellular communication infrastructure. They demand to connect a massive number of devices with enhanced data rates. The massive multiple-input multiple-output (MIMO) technology at millimeter-wave (mmWave) in combination with hybrid precoding emerges as a concrete tool to address the requirements of 5G network developments. But Massive MIMO systems consume significant power for network operations. Hence the prior role is to improve the energy efficiency by reducing the

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C, Saravanakumar, Allanki Sanyasi Rao, Harini C, and Saravanan Velusamy. "ADVANCEMENT IN LOCALIZATION TECHNIQUES USING PRECODERS FOR ULTRA WIDE-BAND SYSTEMS." ICTACT Journal on Communication Technology 14, no. 3 (2023): 2982–87. http://dx.doi.org/10.21917/ijct.2023.0443.

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In the era of rapidly expanding wireless communication systems, the demand for high-performance, low-latency, and energy-efficient solutions is paramount. One technology that has emerged as a transformative force in addressing these requirements is Massive Multiple-Input Multiple-Output (Massive MIMO) precoding. This abstract delves into the key aspects of Massive MIMO precoding, highlighting its role in enhancing spectral efficiency, mitigating interference, and improving the overall performance of wireless networks. Massive MIMO precoding leverages a substantial number of antennas at the tra

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Weng, Jialai, Xiaoming Tu, Zhihua Lai, Sana Salous, and Jie Zhang. "Indoor Massive MIMO Channel Modelling Using Ray-Launching Simulation." International Journal of Antennas and Propagation 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/279380.

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Massive multi-input multioutput (MIMO) is a promising technique for the next generation of wireless communication networks. In this paper, we focus on using the ray-launching based channel simulation to model massive MIMO channels. We propose one deterministic model and one statistical model for indoor massive MIMO channels, both based on ray-launching simulation. We further propose a simplified version for each model to improve computational efficiency. We simulate the models in indoor wireless network deployment environments and compare the simulation results with measurements. Analysis and

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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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Rottenberg, François, Xavier Mestre, François Horlin, and Jérôme Louveaux. "Performance Analysis of Linear Receivers for Uplink Massive MIMO FBMC-OQAM Systems." IEEE Transactions on Signal Processing 66, no. 3 (2018): 830–42. https://doi.org/10.1109/TSP.2017.2778682.

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Offset-quadratic-amplitude-modulation-based filterbank multicarrier (FBMC-OQAM) has been shown to be a promising alternative to cyclic prefix-orthogonal frequency division multiplexing. More recently, the use of FBMC-OQAM has been proposed in combination with massive MIMO communications. In this context, it is interesting to study the overall effect of massive MIMO on the FBMC-OQAM intrinsic interference and its interaction with channel frequency selectivity. In this paper, the performance of an FBMC-OQAM uplink massive MIMO system is theoretically characterized in terms of the output mean squ

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Nooruldeen, Q. Ismaeel, Khaleel Ibrahim Sarmad, and Najah Abdulsaheb Hajer. "Evaluation of the weighted-overlap add model with massive MIMO in a 5G system." TELKOMNIKA 21, no. 05 (2023): 949–56. https://doi.org/10.12928/telkomnika.v21i5.25035.

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The flaw in 5G orthogonal frequency division multiplexing (OFDM) becomes apparent in high-speed situations. Because the doppler effect causes frequency shifts, the orthogonality of OFDM subcarriers is broken, lowering both their bit error rate (BER) and throughput output. As part of this research, we use a novel design that combines massive multiple input multiple output (MIMO) and weighted overlap and add (WOLA) to improve the performance of 5G systems. To determine which design is superior, throughput and BER are calculated for both the proposed design and OFDM. The results of the improved s

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Zheng, Kan, Suling Ou, and Xuefeng Yin. "Massive MIMO Channel Models: A Survey." International Journal of Antennas and Propagation 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/848071.

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The exponential traffic growth of wireless communication networks gives rise to both the insufficient network capacity and excessive carbon emissions. Massive multiple-input multiple-output (MIMO) can improve the spectrum efficiency (SE) together with the energy efficiency (EE) and has been regarded as a promising technique for the next generation wireless communication networks. Channel model reflects the propagation characteristics of signals in radio environments and is very essential for evaluating the performances of wireless communication systems. The purpose of this paper is to investig

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Gani, Ahmad. "Implementation of Massive MIMO in 5G Networks: Strategy and Technical Studies in Indonesia." Indonesian Journal of Advanced Research 2, no. 3 (2023): 189–200. http://dx.doi.org/10.55927/ijar.v2i3.3563.

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This study aims to examine the implementation of Massive MIMO (Multiple-Input Multiple-Output) in the 5G network and its implementation strategy in Indonesia. The methodology used includes literature study, field data analysis, and simulation. This study found that Massive MIMO can increase the capacity, speed, and spectrum efficiency of 5G networks. Implementation of this technology in Indonesia requires a strategy that includes optimizing infrastructure, regulation, and cooperation between stakeholders. The research results show that the implementation of Massive MIMO in the 5G network in In

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Antsa Salomà El Salam Andriamihaja. "PERFORMANCE EVALUATION OF A MASSIVE MIMO M-MMSE SYSTEM IN TERMS OF ENERGY EFFICIENCY BASED ON THE POWER CIRCUIT CONSUMPTION MODEL (PC)." International Journal of Innovations in Engineering Research and Technology 11, no. 2 (2024): 33–43. http://dx.doi.org/10.26662/ijiert.v11i2.pp33-43.

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The implementation of massive MIMO technology presents a significant boost in throughput mobile networks. However, this technological advancement comes increases energy consumption. The amalgamation of Massive MIMO with M-MMSE serves as a strategic solution, effectively mitigating energy consumption while delivering substantial throughput and improved Energy Efficiency (EE) compared to alternative techniques. Our study delves into the Energy Efficiency of massive MIMO using the Power Circuit Consumption (PC) model, providing valuable insights into its performance. This analytical approach not

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Tonin, Jean Marcel Faria, and Taufik Abrao. "Linear detectors and precoding methods for massive MIMO." Semina: Ciências Exatas e Tecnológicas 42, no. 2 (2021): 209. http://dx.doi.org/10.5433/1679-0375.2021v42n2p209.

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Detection in multiple-input-multiple-output (MIMO) wireless communication systems is a crucial procedure in receivers since the multiple access transmission schemes generate interference due to the simultaneous transmission along with the several antennas, unlike single-input-single-output (SISO) transmission schemes. Precoding is a technique in MIMO systems used to mitigate the effects of the channel over the received signal. Hence, it is possible to adjust continuously the transmitted information to reverse the effect of the wireless channel at the receiver side. In this work, linear sub-opt

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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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Onukwugha, Chinwe Gilean, Njoku, et al. "Bit Error Rate Analysis Of Multiuser Massive MIMO Wireless System Using Linear Precoding." International Journal of Advanced Networking and Applications 14, no. 04 (2023): 5517–22. http://dx.doi.org/10.35444/ijana.2023.14403.

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This paper presents bit error rate (BER) analysis of multiuser (MU) massive multiple input multiple out (MIMO) wireless system using linear precoding techniques. Considering the increasing demand for wireless communication that will provide seamless performance to meet users satisfaction, various precoding schemes have been developed and with massive MIMO projected to be a promising technology for 5G and next generation network. Therefore, this study was basically designed to examine the effect of linear zero forcing (ZF) and minimum mean square error (MMSE) precoders on BER performance of MU

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Abdul-Hadi, Alaa M., Marwah Abdulrazzaq Naser, Muntadher Alsabah, Sadiq H. Abdulhussain, and Basheera M. Mahmmod. "Performance evaluation of frequency division duplex (FDD) massive multiple input multiple output (MIMO) under different correlation models." PeerJ Computer Science 8 (June 21, 2022): e1017. http://dx.doi.org/10.7717/peerj-cs.1017.

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Massive multiple-input multiple-output (massive-MIMO) is considered as the key technology to meet the huge demands of data rates in the future wireless communications networks. However, for massive-MIMO systems to realize their maximum potential gain, sufficiently accurate downlink (DL) channel state information (CSI) with low overhead to meet the short coherence time (CT) is required. Therefore, this article aims to overcome the technical challenge of DL CSI estimation in a frequency-division-duplex (FDD) massive-MIMO with short CT considering five different physical correlation models. To th

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Yu, Yongzhi, Jianming Wang, and Limin Guo. "Multisegment Mapping Network for Massive MIMO Detection." International Journal of Antennas and Propagation 2021 (September 3, 2021): 1–7. http://dx.doi.org/10.1155/2021/9989634.

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The massive multiple-input multiple-output (MIMO) technology is one of the core technologies of 5G, which can significantly improve spectral efficiency. Because of the large number of massive MIMO antennas, the computational complexity of detection has increased significantly, which poses a significant challenge to traditional detection algorithms. However, the use of deep learning for massive MIMO detection can achieve a high degree of computational parallelism, and deep learning constitutes an important technical approach for solving the signal detection problem. This paper proposes a deep n

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Kirti, Kirti. "Simulation of Massive MIMO Performance in 5G." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04628.

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Abstract The purpose of this research paper is to conduct a thorough simulation and performance analysis of Massive Multiple Input Multiple Output (MIMO) systems in relation to the 5G wireless communication. As a 5G network revolutionizing technology, Massive MIMO has, and is improving spectral efficiency, throughput, and dependability with the help of a multitude of antenna elements at the base station that serve and increase the number of users concurrently served. This work evaluates the impact of system parameters such as antenna count, SNR levels, and user configuration on various perform

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Borges, David, Paulo Montezuma, Rui Dinis, and Marko Beko. "Massive MIMO Techniques for 5G and Beyond—Opportunities and Challenges." Electronics 10, no. 14 (2021): 1667. http://dx.doi.org/10.3390/electronics10141667.

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Telecommunications have grown to be a pillar to a functional society and the urge for reliable and high throughput systems has become the main objective of researchers and engineers. State-of-the-art work considers massive Multiple-Input Multiple-Output (massive MIMO) as the key technology for 5G and beyond. Large spatial multiplexing and diversity gains are some of the major benefits together with an improved energy efficiency. Current works mostly assume the application of well-established techniques in a massive MIMO scenario, although there are still open challenges regarding hardware and

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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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