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Journal articles on the topic 'MIMO multi users'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

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

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

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2

S., M. Patil, and J. Patil A. "MIMO Based Cognitive Radio Network with Efficient Spectrum Utilization." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 1 (2020): 468–72. https://doi.org/10.35940/ijeat.F1540.1010120.

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This paper presents an energy-efficient power control scheme for Multi-Input–Multi-Output (MIMO) based multi-channel cognitive radio networks (CRNs) with adaptive mode selection protocol. Cognitive radio device operates in the temporal domain to utilize spectrum holes and MIMO system operates in the spatial domain. Thus CRN in collaboration with MIMO can produce a significant improvisation for spectrum utilization, and therefore, the integration of MIMO and CRN has received widespread research interest. To address the challenges of the collaboration of MIMO and CRN, we propose a MIMO bas

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3

Zhong, Shida, Haogang Feng, Peichang Zhang, et al. "User Oriented Transmit Antenna Selection in Massive Multi-User MIMO SDR Systems." Sensors 20, no. 17 (2020): 4867. http://dx.doi.org/10.3390/s20174867.

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A transmit antenna selection (TxAS) aided multi-user multiple-input multiple-output (MU-MIMO) system is proposed for operating in the MIMO downlink channel environments, which shows significant improvement in terms of higher data rate when compared to the conventional MU-MIMO systems operating without adopting TxAS, while maintaining low hardware costs. We opt for employing a simple yet efficient zero-forcing beamforming (ZFBF) linear precoding scheme at the transmitter in order to reduce the decoding complexity when considering users’ side. Moreover, considering that users within the same cel

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Naeem, Muddasar, Antonio Coronato, Zaib Ullah, Sajid Bashir, and Giovanni Paragliola. "Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning." Sensors 22, no. 21 (2022): 8278. http://dx.doi.org/10.3390/s22218278.

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Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates. However, a suitable scheduling mechanism is required to efficiently distribute available spectrum resources and enhance system capacity. This paper investigates the user selection problem in Multi-User MIMO (MU-MIMO) environment using the multi-agent Reinforcement learning (RL) methodology. Adopting multiple antennas’ spatial degrees of freedom, devices can serve to transmit simultaneously in every time slot. We aim to develop an optima

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Sandeep, Dhanraj Bawage, and Shivkumar Manjula. "Downlink channel analysis at multi-cell massive MIMO: novel adaptive channel allocation scheme." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1577~1585. https://doi.org/10.11591/eei.v11i3.3479.

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In large multiple-input multiple-output (MIMO) systems, we offer a new access strategy for crowd situations. Crowd situations include a high number users who have intermittent access patterns, making orthogonal scheduling impossible. In this paper, the work is driven by the massive MIMO problem at crowded environment. The pilot contamination problem is dependent on the protocol assumptions is observed in the system. We investigate a crowd situation in which the users number and their access behaviours make scheduling broadcasts impossible. The pilot assignment is time-slot randomized, but the

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6

Handayani, Puji, and Beny Burhanusshomad. "Kinerja Multi-user MIMO OFDM dengan Block-Diagonalization Precoding." Jurnal JEETech 4, no. 1 (2023): 15–19. http://dx.doi.org/10.32492/jeetech.v4i1.4103.

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Multiple-input multiple-output (MIMO) is a transmission technology that uses more than one antenna both on the transmitter side and on the receiver side. In the communication services, the system will involve more than one active user who uses one base station (BS) together so that it is called multi-user MIMO (MU-MIMO). This paper discusses the performances of MU-MIMO when it uses block diagonalization (BD) precoding and applies minimum mean squared error (MMSE) detector. As a comparison we also apply zero-forcing (ZF) detector. From the simulations that have been done, it is found that the M

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7

Raviv, Li-on, and Amir Leshem. "Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines." Future Internet 11, no. 8 (2019): 172. http://dx.doi.org/10.3390/fi11080172.

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The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall sys

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8

VijayaLakshmi, Dr M., and C. Anisha. "Massive MIMO-OFDM Transmission Without Cellular Networks Using Frequency - Selective Fading Channels." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1410–17. http://dx.doi.org/10.22214/ijraset.2023.56225.

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Abstract: For cell-free massive multi-input multi-output (CF-m-MIMO) across frequency-selective fading channels, this system introduces and determines the effectiveness of the orthogonal frequency-division multiplexing (OFDM)-based multi-carrier transmission. The CF-m-MIMO-OFDM system can accommodate a substantial user base and is flexible enough to offer a range of data rates for usage in a variety of contexts. With its scalability and flexibility, the CF-m-MIMO-OFDM transmission network can serve a large number of users at variable data rates. It is proposed to beamform in the frequency-doma

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9

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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10

Al Fatli, Haitham, Khairun Nidzam Ramli, Elfarizanis Baharudin, Rami Qays Malik, and Zahraa Hashim Kareem. "Review of Multi-User Beamspace Massive MIMO in Downlink System." Journal of Advanced Research in Applied Sciences and Engineering Technology 62, no. 1 (2024): 275–87. https://doi.org/10.37934/araset.62.1.275287.

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Linear Beamspace achieves special features in the performance of wireless communication systems as it is providing high capacity, ability and will form with another beam an orthogonal channel at the same time and frequency source of the transmitter Base Station in the downlink system. This paper considered the different technologies use in downlink Beamspace massive MIMO systems with a random number of users which can compose different sizes of clusters. Therefore, we focus on this review study on counting the number of users per cell and the possibility to increase it by using frequency reuse

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11

Zhu, Mengyu, Shaoshuai Gao, Guofang Tu, and Deyuan Chen. "Multi-Access Edge Computing (MEC) Based on MIMO: A Survey." Sensors 23, no. 8 (2023): 3883. http://dx.doi.org/10.3390/s23083883.

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With the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity. Multi-access edge computing (MEC) can handle highly demanding applications by users by sinking the services and computing capabilities of the cloud to the edge of the cell. Meanwhile, the multiple input multiple output (MIMO) technology based on large-scale antenna arrays can achieve an order-of-magnitude improvement in system capacity. The introduction of MIMO into MEC takes full advantage of the

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12

Fang, Tianhao, Yangyang Gao, Chaoju Suo, et al. "A Multi-Beam XL-MIMO Testbed Based on Hybrid CPU-FPGA Architecture." Electronics 12, no. 2 (2023): 380. http://dx.doi.org/10.3390/electronics12020380.

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To support more users and higher data rates in future communication networks, the extremely large-scale massive multiple-input multiple-output (XL-MIMO) is considered a promising technique. The booming research on XL-MIMO necessitates a reconfigurable XL-MIMO testbed that can be used to validate new research ideas in real wireless environments and collect data for XL-MIMO channel characteristics analysis. To provide such a reliable and convenient testbed, we designed a multi-beam XL-MIMO testbed based on the hybrid CPU-FPGA architecture and channel calibration schemes. The ability to customize

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13

Stankovic, Veljko. "Iterative successive MMSE multi-user MIMO transmit filtering." Facta universitatis - series: Electronics and Energetics 20, no. 1 (2007): 45–55. http://dx.doi.org/10.2298/fuee0701045s.

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In this paper we introduce a novel linear preceding technique. It was previously reported in the literature that when the user terminals are equipped with one antenna, minimum mean-squared-error (MMSE) in combination with successive interference cancellation is optimum on the uplink, while MMSE preceding in combination with Tomlinson-Harashima preceding (THP) is optimum on the downlink. The linear preceding technique introduced in this paper is based on the modified MSB criterion. It can serve the users that are equipped with arbitrary number of antennas with only limitation that the total num

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14

Muhammad, Irshad Zahoor Naveed Ur Rehman Fakhar Abbas SaifUllah Adnan. "Case Study of Energy Efficiency in Massive MIMO System." International Journal of Engineering Works 1, no. 2 (2014): 32–37. https://doi.org/10.5281/zenodo.15747.

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By using large-scale antenna arrays, considerable enhancement in energy and spectral efficiency is accomplished. What will be the optimum number of antennas, active users and transmit power? In single cell consequence Zero Forcing (ZF) processing is used to know how the constraints interact. A conjoint belief is transmitter power is enlarged with large number of antennas that means EE-systems can operate in high Signal to noise ratio systems where interference-suppressing signal processing is mandatory. Systematic and arithmetical results show that, Massive MIMO is the solution to get maximum

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15

Bawage, Sandeep Dhanraj, and Manjula Shivkumar. "Downlink channel analysis at multi-cell massive MIMO: novel adaptive channel allocation scheme." Bulletin of Electrical Engineering and Informatics 11, no. 3 (2022): 1577–85. http://dx.doi.org/10.11591/eei.v11i3.3479.

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In large multiple-input multiple-output (MIMO) systems, we offer a new access strategy for crowd situations. Crowd situations include a high number users who have intermittent access patterns, making orthogonal scheduling impossible. In this paper, the work is driven by the massive MIMO problem at crowded environment. The pilot contamination problem is dependent on the protocol assumptions is observed in the system. We investigate a crowd situation in which the users number and their access behaviours make scheduling broadcasts impossible. The pilot assignment is time-slot randomized, but the

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16

Hang, Juan, and Feng She. "User Scheduling in Multi-User MIMO Systems with Buffer Counting." Advanced Materials Research 461 (February 2012): 62–66. http://dx.doi.org/10.4028/www.scientific.net/amr.461.62.

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This paper studies the user scheduling in MIMO systems with queue control. We assume the data packets are buffered at the transmitter. By modeling the channel as a queuing system, the property of queue control is analyzed. Then, user scheduling algorithm with consideration of queue state and channel state together is also investigated. Simulation results show that queue control can achieve fairness and keep stability among users

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17

Lee, Ling, Chun-An Chen, Chiao-En Chen, and Yuan-Hao Huang. "Square-Root Generalized Eigenvalue Decomposition Processor for Leakage-Based Multi-User MIMO Precoding With Multi-Antenna Users." IEEE Transactions on Circuits and Systems I: Regular Papers 66, no. 6 (2019): 2382–93. http://dx.doi.org/10.1109/tcsi.2019.2893274.

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18

Li, Xin Min, Bao Ming Bai, and Juan Zhao. "SDR-Based Precoding for Multi-User Multi-Stream MIMO Downlinks." Applied Mechanics and Materials 543-547 (March 2014): 2004–8. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2004.

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The existing methods based on convex-optimization theory, which use the concept of SINR, can just design the optimal precoder for each user with single antenna. In this paper, we design the optimal precoding matrices for multi-user MIMO downlinks by solving the optimization problem that minimizes total transmit power subject to signal-leakage-plus-noise-ratio (SLNR) constraints. Because SLNR of each user is determined by its own precoding matrix and is independent of other users, the goal problem can be separated into a series of decoupled low-complexity quadratically constrained quadratic pro

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19

Rezaei, Fatemeh, and Aliakbar Tadaion. "Multi-layer beamforming in uplink/downlink massive MIMO Systems with multi-antenna users." Signal Processing 164 (November 2019): 58–66. http://dx.doi.org/10.1016/j.sigpro.2019.05.006.

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20

Huang, Ziyang, Longcheng Yang, Weiqiang Tan, and Han Wang. "Adaptable Hybrid Beamforming with Subset Optimization Algorithm for Multi-User Massive MIMO Systems." Sensors 24, no. 13 (2024): 4189. http://dx.doi.org/10.3390/s24134189.

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The exploiting of hybrid beamforming (HBF) in massive multiple-input multiple-output (MIMO) systems can enhance the system’s sum rate while reducing power consumption and hardware costs. However, designing an effective hybrid beamformer is challenging, and interference between multiple users can negatively impact system performance. In this paper, we develop a scheme called Subset Optimization Algorithm-Hybrid Beamforming (SOA-HBF) that is based on the subset optimization algorithm (SOA), which effectively reduces inter-user interference by dividing the users set into subsets while optimizing

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21

Madeira, João, João Guerreiro, Hugo Serra, Rui Dinis, Paulo Montezuma, and Luís Miguel Campos. "A Physical Layer Security Technique for NOMA Systems with MIMO SC-FDE Schemes." Electronics 9, no. 2 (2020): 240. http://dx.doi.org/10.3390/electronics9020240.

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Current wireless communication systems employ Multi-Input, Multi-Output (MIMO) techniques to increase spectral efficiency, at the cost of higher hardware complexity. Most of these systems continue to employ traditional Orthogonal Multiple Access (OMA) schemes, which are suboptimal when compared to Non-Orthogonal Multiple Access (NOMA) schemes. By combining NOMA with MIMO, it is possible to achieve higher spectral efficiencies. However, security in NOMA-MIMO systems remains a problem. In this paper, we study the physical layer security issues of a power based NOMA-MIMO system with a Singular Va

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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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Kalachikov, A., R. Bezgodkin, I. Petrov, and A. Vinnikov. "Performance Evaluation of the MU-MIMO Precoding Using the QuaDRiGa Channel Model." Proceedings of Telecommunication Universities 8, no. 1 (2022): 41–47. http://dx.doi.org/10.31854/1813-324x-2022-8-1-41-47.

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The article presents the analysis of characteristics of algorithms of signal precoding in a multi-antenna system with many users (MU-MIMO). This paper presents the numerical evaluation of the multiuser MIMO beamforming algorithms ZF and DFT codebook based on a QUADRIGA channel model, taking into account the real conditions of signal propagation. The generated channels are used to calculate SINR and the spectral efficiency values of each user using the conventional ZF and DFT beamforming codebook. The eigenvalues of the MIMO channel are important in evaluating the MU-MIMO transmission performan

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Sergeev, A. M., and N. Sh Blaunstein. "Evolution of multiple-access networks - cellular and non-cellular - in historical perspective. Part 3." Information and Control Systems, no. 6 (December 18, 2018): 82–94. http://dx.doi.org/10.31799/1684-8853-2018-6-82-94.

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Introduction:The goal of this issue is the analysis of evolution of the current and novel wireless networks, from second generation (2D) to fifth generation (5G), as well as changes in technologies and their corresponding theoretical background and protocols — from Bluetooth, WLAN, WiFi and WiMAX to LTE, OFDM/OFDMA, MIMO and LTE/MIMO advanced technologies with new hierarchy of cellular maps design — femto/plco/mlcro/macro.Methods:We use new theoretical frameworks for description of the advanced technologies, such as multicarrier diversity technique, OFDM and OFDM novel approach, MIMO aspects d

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Wang, Yan Wen, and Zhi Wei Yin. "A New Multi-User Beamforming Algorithm." Applied Mechanics and Materials 130-134 (October 2011): 3169–72. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3169.

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In R9 version of LTE system, the double multi-user beamforming is proposed. To suppress inter-user interference of multi-user multiple input multiple output (MU-MIMO) system, a new algorithm is presented in this paper: on condition that current user eliminates the interference to other users, it designs its own transmit beamforming vector; if all users take such measures, the interference that each user suffers from others will be reduced to a minimum, which improves the performance of the system. Simulation shows that, as the number of user increases, the algorithm used in this paper can redu

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Jian, Zhaomin, Chao Ma, Yunchao Song, Mengshuang Liu, and Huibin Liang. "Flexible Resource Optimization for D2D XL-MIMO Communication via Adversarial Multi-Armed Bandit." Electronics 14, no. 8 (2025): 1498. https://doi.org/10.3390/electronics14081498.

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Extremely large-scale multi-input and multi-output (XL-MIMO) communication, compared to conventional massive multi-input multi-output communication, can support more users and higher data throughput, thereby significantly improving its spectral efficiency and spatial multiplexing capabilities. This paper investigates the optimization of resource allocation for device-to-device (D2D) multicast communication in XL-MIMO cellular networks. The “many-to-many” sharing model permits one subcarrier to be shared among multiple D2D groups (DGs) and each DG to reuse multiple subcarriers. The objective is

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Le, Mai Thi Phuong, Hung Le Nguyen, Hieu Van Nguyen, and Vien Duy Nhat Nguyen. "Spectral Efficiency Optimization for Full Duplex Multi-User MIMO Network." Journal of Science and Technology: Issue on Information and Communications Technology 18, no. 12.2 (2020): 43. http://dx.doi.org/10.31130/ict-ud.2020.120.

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   In this paper, we investigate the spectral efficiency (SE) of a multi-user multiple-input multiple-output (MU-MIMO) antenna network in full-duplex (FD) regime, where uplink (UL) and downlink (DL) users simultaneously share the same time and frequency resources. Zero-forcing approach is applied efficiently to precode/detect signals in both UL and DL. To achieve the SE maximization, we formulate an optimized problem where the transmit power of Base station (BS) and users are jointly considered. Numerical results are used to show that the proposed algorithm may bring signific

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Kai, Tao, Sun Xiaoyun, Wang Yang, and Jingchun Li. "System Modeling and Precoding Design for Multi-beam Dual-polarized Satellite MIMO System." Recent Patents on Engineering 13, no. 4 (2019): 374–81. http://dx.doi.org/10.2174/1872212112666181015150356.

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Background: As the multimedia service develops and the transmission rate in terrestrial communication systems increases rapidly, satellite communication needs to improve the transmission rate and throughput. Multiple Input Multiple Output (MIMO) techniques can increase the system capacity significantly by introducing the space dimension, as the system bandwidth remains the same. Therefore, utilization of MIMO for satellite communications to increase the capacity is an important research topic. So MIMO techniques for multibeam satellite communications are researched in the dissertation. Objecti

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Chen, Boqing, Lijun Yang, and Meng Wu. "Joint Antenna Selection and Proportional Fairness User Scheduling for Multi-User Massive MIMO Systems." Applied Sciences 15, no. 9 (2025): 4916. https://doi.org/10.3390/app15094916.

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Massive multi-input multi-output (massive MIMO) technology offers significant multiplexing gains and enhances transmission rates by efficiently utilizing available airspace resources. However, it requires each antenna to be paired with a separate radio frequency (RF) chain, which leads to the need for numerous RF chains in the system, resulting in high hardware costs, increased computational complexity, and elevated power consumption. To address this, antenna selection technology reduces the number of RF chains required, activating only the antennas that correspond to the available RF chains.

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Kim, Yunesung, Guowang Miao, and Taewon Hwang. "Energy Efficient Pilot and Link Adaptation for Mobile Users in TDD Multi-User MIMO Systems." IEEE Transactions on Wireless Communications 13, no. 1 (2014): 382–93. http://dx.doi.org/10.1109/twc.2013.120113.130677.

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Yu, Seoyoung, and Jeong Woo Lee. "Channel Sounding for Multi-User Massive MIMO in Distributed Antenna System Environment." Electronics 8, no. 1 (2019): 36. http://dx.doi.org/10.3390/electronics8010036.

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We propose a generation scheme for a sounding reference signal (SRS) suitable for supporting a large number of users in massive multi-input multi-output (MIMO) system with a distributed antenna system (DAS) environment. The proposed SRS can alleviate the pilot contamination problem which occurs inherently in the multi-user system due to the limited number of orthogonal sequences. The proposed SRS sequence is generated by applying a well-chosen phase rotation to the conventional LTE/LTE-A SRS sequences without requiring an increased amount of resource usage. We also propose using the correlatio

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Hakimi, Walid, and Ammar Mahmoud. "Performance Evaluation of Space-Time and Harq Diversity in MIMO HSDPA." International Journal of Mobile Computing and Multimedia Communications 4, no. 3 (2012): 71–86. http://dx.doi.org/10.4018/jmcmc.2012070105.

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Multi-antenna techniques can be used to achieve improved system performance, including improved system capacity (more users per cell) and improved coverage (possibility for larger cells), as well as improved service provisioning, for example, higher per-user data rates. This study provides an overview of space-time diversity technique using Alamouti codes applied to the 3G evolution. The delays introduced by HARQ retransmission decrease the performance of the HSDPA system. Multi-antenna techniques are specifically applied to HSDPA to avoid HARQ retransmissions. The authors demonstrate that spa

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Madeira, João, João Guerreiro, Rui Dinis, Paulo Montezuma, and Luís Miguel Campos. "On the Physical Layer Security Characteristics for MIMO-SVD Techniques for SC-FDE Schemes." Sensors 19, no. 21 (2019): 4757. http://dx.doi.org/10.3390/s19214757.

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Multi-Input, Multi-Output (MIMO) techniques are seeing widespread usage in wireless communication systems due to their large capacity gains. On the other hand, security is a concern of any wireless system, which can make schemes that implement physical layer security key in assuring secure communications. In this paper, we study the physical layer security issues of MIMO with Singular Value Decomposition (SVD) schemes, employed along with Single-Carrier with Frequency-Domain Equalization (SC-FDE) techniques. More concretely. the security potential against an unintended eavesdropper is analysed

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Jang, Youngsu, Honggu Kang, Minho Park, Jeung Won Choi, and Joonhyuk Kang. "Analysis on Secondary User Receiver SINR in Spectrum Sharing MIMO Cognitive Radio Networks with Multi Secondary Users." Journal of Korean Institute of Communications and Information Sciences 44, no. 2 (2019): 252–61. http://dx.doi.org/10.7840/kics.2019.44.2.252.

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Akajewole, M. A., and D. U. Onyishi. "A reliable downlink MIMO algorithm for mitigating the effect of user equipment mobility in multi-user MIMO in fifth-generation and beyond networks." Nigerian Journal of Technology 43, no. 2 (2024): 328–37. http://dx.doi.org/10.4314/njt.v43i2.16.

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Multiple Input Multiple Output (MIMO) wireless systems offer substantial capacity gains over conventional wireless channels, making them well-suited for future high-speed wireless communications. However, ensuring high Quality of Service (QoS) for users in terms of signal quality, data speed, and reliability are some of the challenges of 5G wireless cellular networks. However, the effect of users’ mobility potentially may result in significant inter-beam interference, which increases the probability of outage in a Multi-User-MIMO (MU-MIMO) system. Although several studies have been carried out

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Viana, Joseanne, Francisco Cercas, Américo Correia, Rui Dinis, and Pedro Sebastião. "MIMO Relaying UAVs Operating in Public Safety Scenarios." Drones 5, no. 2 (2021): 32. http://dx.doi.org/10.3390/drones5020032.

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Methods to implement communication in natural and humanmade disasters have been widely discussed in the scientific community. Scientists believe that unmanned aerial vehicles (UAVs) relays will play a critical role in 5G public safety communications (PSC) due to their technical superiority. They have several significant advantages: a high degree of mobility, flexibility, exceptional line of sight, and real-time adaptative planning. For instance, cell edge coverage could be extended using relay UAVs. This paper summarizes the sidelink evolution in the 3GPP standardization associated with the us

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Lee, Woon-Sang, Jae-Hyun Ro, Young-Hwan You, Duckdong Hwang, and Hyoung-Kyu Song. "An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems." Applied Sciences 10, no. 13 (2020): 4547. http://dx.doi.org/10.3390/app10134547.

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Recently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementation of huge base station (BS) antenna array and decrease of reliability as the number of users increases are chief obstacles. In order to mitigate these problems, this paper proposes an adaptive precoder which provides high throughput and bit error rate (BER) performances to achieve the desired data r

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Trifan, Razvan-Florentin, Andrei-Alexandru Enescu, and Constantin Paleologu. "Hybrid MU-MIMO Precoding Based on K-Means User Clustering." Algorithms 12, no. 7 (2019): 146. http://dx.doi.org/10.3390/a12070146.

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Multi-User (MU) Multiple-Input-Multiple-Output (MIMO) systems have been extensively investigated over the last few years from both theoretical and practical perspectives. The low complexity Linear Precoding (LP) schemes for MU-MIMO are already deployed in Long-Term Evolution (LTE) networks; however, they do not work well for users with strongly-correlated channels. Alternatives to those schemes, like Non-Linear Precoding (NLP), and hybrid precoding schemes were proposed in the standardization phase for the Third-Generation Partnership Project (3GPP) 5G New Radio (NR). NLP schemes have better p

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Bakulin, Mikhail, Taoufik Ben Rejeb, Vitaly Kreyndelin, Denis Pankratov, and Aleksei Smirnov. "Multi-User MIMO Downlink Precoding with Dynamic User Selection for Limited Feedback." Sensors 25, no. 3 (2025): 866. https://doi.org/10.3390/s25030866.

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In modern (5G) and future Multi-User (MU) wireless communication systems Beyond 5G (B5G) using Multiple-Input Multiple-Output (MIMO) technology, base stations with a large number of antennas communicate with many mobile stations. This technology is becoming especially relevant in modern multi-user wireless sensor networks in various application scenarios. The problem of organizing an MU mode on the downlink has arisen, which can be solved by precoding at the Base Station (BS) without using additional channel frequency–time resources. In order to utilize an efficient precoding algorithm at the

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Mancharla, Ravi, and Yaka Bulo. "A Comparative Analysis of the various Power Allocation Algorithm in NOMA-MIMO Network Using DNN and DLS Algorithm." ICST Transactions on Mobile Communications and Applications 7, no. 2 (2022): e3. http://dx.doi.org/10.4108/eetmca.v7i2.2651.

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The high data rate, huge spectrum efficiency, successive interference cancellation (SIC), and ultra-reliable low latency (URLL) are of the demand for next-generation technologies. Non-orthogonal multiple access (NOMA) scheme provides multi-user scaling (multiplexing), optimum spectral efficiency (SE), excellent user-pairing improvement, and a single resource block sharing by multiple users because of which it is a more preferable scheme over orthogonal multiple access (OMA) for the next generation technologies. This article investigates comparative analysis of various power allocation algorith

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Chopra, Shakti Raj, Akhil Gupta, Sudeep Tanwar, Calin Ovidiu Safirescu, Traian Candin Mihaltan, and Ravi Sharma. "Multi-User Massive MIMO System with Adaptive Antenna Grouping for Beyond 5G Communication Network." Mathematics 10, no. 19 (2022): 3621. http://dx.doi.org/10.3390/math10193621.

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Error-correcting codes with limited errors and higher spectral efficiency are the main concern for wireless communications. In the current situation, research is increasing daily to satisfy the growing demand for users with improved QoS. Adaptive Antenna Grouping (AAG) with a multilevel space–time trellis coding scheme in the Multi-User Massive MIMO system is the better option to provide flexible data transfer speeds, encoding gains, and gain in diversity with improved spectral efficiency and low decoding complexity, including the power optimization by reduced SNR at the same Symbol Error Rate

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

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

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Panta, Jariya, Poompat Saengudomlert, and Karel L. Sterckx. "Efficient User Grouping for MU-MIMO Visible Light Communications Based on Block Diagonalization." ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, no. 3 (2022): 329–38. http://dx.doi.org/10.37936/ecti-eec.2022203.247510.

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This paper investigates efficient user grouping methods for multi-user multi-input multi-output (MU-MIMO) visible light communication (VLC) systems. Block diagonalization (BD) precoding is considered for interference avoidance. In addition, time division multiplexing (TDM) is applied to perform user grouping when the number of users exceeds the limit of BD precoding based on the number of light emitting diode (LED) transmitters and the total number of users' photodiodes (PDs). User grouping methods are proposed based on pairwise interference considerations among users in the same group. The pr

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He, Junyi, Junnan Zhang, Cheng Song, and Mengxiang Wu. "Spectral Efficiency of the Multiway Massive System over Rician Fading Channels." Security and Communication Networks 2021 (February 24, 2021): 1–8. http://dx.doi.org/10.1155/2021/6618363.

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In this study, we consider a multiway massive multi-input multi-output (MIMO) relay network over Rician fading channels, where all users intend to share their information with the other users via amplify-and-forward (AF) relays equipped with a great number of antennas. More practical, the imperfect channel state information (CSI) is taken into account. To evaluate the performance of the considered networks, we derived an analytical approximation expression for the spectral efficiency with zero-forcing (ZF) receivers in a closed form. To obtain more insights, the asymptotic analysis as the numb

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Khomyat, Tanapong, Peerapong Uthansakul, and Monthippa Uthansakul. "Performance Analysis of MU-MIMO Systems Using HMRS Technique for Various Transmission Modes." ECTI Transactions on Electrical Engineering, Electronics, and Communications 12, no. 1 (2014): 53–62. http://dx.doi.org/10.37936/ecti-eec.2014121.170804.

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It is the fact that the bandwidth of wireless communication system is such a limited resource that several techniques are selectively applied to increase the bandwidth efficiency. The highest bandwidth efficiency can be taken by applying Multi-User Multiple-Input Multiple-Output (MU-MIMO) technique. For this technique, the complexity of detection is rapidly increased by increasing the number of users. Thus the lower complex detection is necessarily required for MU-MIMO system. Recently, the simple detection technique called hybrid-MIMO receiver scheme (HMRS) has been proposed by the authors. H

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Wang, Yan Li. "Interference Suppression Detection Algorithms in STBC-MIMO Systems." Applied Mechanics and Materials 130-134 (October 2011): 2940–43. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2940.

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Aiming at the uplink multi-user STBC-MIMO system, we adopted the combination of the detection scheme about the linear MMSE interference suppression and symbol estimation, and the receiver maintained decoding simplicity. Theory analysis and simulation results reveal that the proposed scheme can suppress and cancel the interference from co-channel users effectively without increasing the complexity significantly.

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Eiji, Arta, and Silpha Mehta. "Simulation-Based 5G Femtocell Network System Performance Analysis." International Journal of Cyber and IT Service Management 3, no. 1 (2023): 74–78. http://dx.doi.org/10.34306/ijcitsm.v3i1.127.

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The field of telecommunications technology has undergone significant changes in recent years, particularly with the development and commercial use of 4G and 5G technologies. As 5G technology becomes increasingly prevalent in Indonesia, it is important to explore the ideal network configurations that can achieve desired data rates in areas with high user densities. This study focuses on femtocell networks, which are compact base stations that require minimal power and are ideal for indoor use. Specifically, the study examines three alternative MIMO antenna scenarios, which are Multi-Input Multi

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He, Shibiao, Jieru Du, and Yong Liao. "Multi-User Scheduling for 6G V2X Ultra-Massive MIMO System." Sensors 21, no. 20 (2021): 6742. http://dx.doi.org/10.3390/s21206742.

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6G vehicle-to-everything (V2X) communication will be combined with vehicle automatic driving technology and play an important role in automatic driving. However, in 6G V2X systems, vehicle users have the characteristics of high-speed movement. Therefore, how to provide stable and reliable wireless link quality and improve channel gain has become a problem that must be solved. To solve this problem, a new multi-user scheduling algorithm based on block diagonalization (BD) precoding for 6G ultra-massive multiple-input multiple-output (MIMO) systems is proposed in this paper. The algorithm takes

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P., Kanthimathi. "NSGA II Implementation for Resource Allocation in MIMO OFDMA." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 490–95. https://doi.org/10.31142/ijtsrd15879.

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One of the most challenging issues for future wireless communication systems is the provision of quality of service QoS guarantees to users over the harsh wireless channels given the limited resource availability. The aim of this paper is to probe the problem of dynamic subcarrier and bit allocation in downlink of MIMO OFDMA systems. Using Singular Value Decomposition, MIMO fading channel of each subcarrier is transformed into an equivalent bank of parallel SISO sub channels. NSGA II is handled which is a multi objective Genetic Algorithm, for joint allocation of bits and subcarriers, in the d

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Li, Xiao Wu. "A Novel User Selection Algorithm for Multiuser MIMO-OFDMA System with Zero-Forcing Beamforming." Applied Mechanics and Materials 198-199 (September 2012): 1442–46. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1442.

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As an important pre-coding method in MIMO- OFDMA system, zero-forcing beamforming (ZFBF) can eliminate co-channel interference (CCI) between users, and generate a series of parallel spatial subchannel without interference. In this paper, we propose a novel ZFBF-based user scheduling algorithm for multi-user downlink MIMO-OFDMA systems. The algorithm can satisfy the rate requirement of each user, choose the right user set in each subcarrier and minimize the total transmit power. Simulation results show that the proposed algorithm does outperform the non-adaptive algorithm and SUS-algorithm.

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