{"title":"开发实验室实验,向工程专业本科生传授面向 5G 蜂窝网络的多用户大规模 MIMO 技术","authors":"M. Hosany, Surfaly Bibi Shadiihah","doi":"10.47191/etj/v9i05.06","DOIUrl":null,"url":null,"abstract":"An effective method of facilitating student learning in a laboratory environment is “practice by doing”. The study of modules related to signal-processing for digital communications requires deep mathematical and theoretical foundations but the practice goal is not really emphasized in the undergraduate curriculum at the University of Mauritius. This causes the students to lose interest in the corresponding modules resulting in high rate of failures. In this work, we propose to develop laboratory experiments with a view to bridge the gap between theoretical and practical aspects in the field of Massive Multiple-Input Multiple-Output (MIMO) systems for 5G cellular networks. Various laboratory scenarios are set up that consider a Maximum Ratio Combining (MRC) receiver in the uplink with an uncorrelated Rayleigh fading channel. Moreover, from a signal processing perspective to enhance the student’s understanding, we analyze the efficiency and error performance of Massive MIMO systems with MPSK and MQAM modulation schemes as well as perfect and imperfect channel estimates. The leading industry software package MATLAB R2022 is used to develop all laboratory experiments and the codes are elaborated in this analysis. Data collected from the experiments are used to generate spectral efficiency and error performance curves which can be used for future research. The findings underscore the significance of accounting for both scenarios and illuminate promising avenues for future research in the realm of massive MIMO education and learning. The assimilation of MATLAB® flowcharts for each MRC receiver, MPSK, and MQAM with perfect and imperfect Channel State Information (CSI) adds further depth to the study, ensuring a comprehensive understanding of the intricacies of massive MIMO systems. Ultimately, this contribution helps in the nurturing of expertise such that future generations of wireless communication pioneers can be inspired.","PeriodicalId":507832,"journal":{"name":"Engineering and Technology Journal","volume":"69 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing Laboratory Experiments to teach Undergraduate Engineering Students Multi-User Massive MIMO Technology for 5G Cellular Networks\",\"authors\":\"M. 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引用次数: 0
摘要
在实验室环境中促进学生学习的有效方法是 "边做边练"。数字通信信号处理相关模块的学习需要深厚的数学和理论基础,但毛里求斯大学的本科课程并未真正强调实践目标。这导致学生对相应的模块失去兴趣,导致不及格率居高不下。在这项工作中,我们建议开发实验室实验,以期在 5G 蜂窝网络的大规模多输入多输出(MIMO)系统领域弥合理论与实践之间的差距。我们设置了各种实验室场景,考虑了上行链路中的最大比率组合(MRC)接收器与不相关的瑞利衰落信道。此外,为了加深学生的理解,我们从信号处理的角度分析了采用 MPSK 和 MQAM 调制方案以及完美和不完美信道估计的 Massive MIMO 系统的效率和误差性能。我们使用业界领先的 MATLAB R2022 软件包开发所有实验室实验,并在本分析中详细阐述了代码。从实验中收集的数据用于生成频谱效率和误差性能曲线,这些曲线可用于未来的研究。研究结果强调了考虑两种情况的重要性,并为大规模 MIMO 教育和学习领域的未来研究指明了前景广阔的途径。针对每个 MRC 接收器、MPSK 和 MQAM 以及完美和不完美信道状态信息 (CSI) 的 MATLAB® 流程图的吸收进一步加深了研究的深度,确保了对大规模 MIMO 系统复杂性的全面理解。最终,这一贡献有助于培养专业知识,从而激励后代无线通信先驱。
Developing Laboratory Experiments to teach Undergraduate Engineering Students Multi-User Massive MIMO Technology for 5G Cellular Networks
An effective method of facilitating student learning in a laboratory environment is “practice by doing”. The study of modules related to signal-processing for digital communications requires deep mathematical and theoretical foundations but the practice goal is not really emphasized in the undergraduate curriculum at the University of Mauritius. This causes the students to lose interest in the corresponding modules resulting in high rate of failures. In this work, we propose to develop laboratory experiments with a view to bridge the gap between theoretical and practical aspects in the field of Massive Multiple-Input Multiple-Output (MIMO) systems for 5G cellular networks. Various laboratory scenarios are set up that consider a Maximum Ratio Combining (MRC) receiver in the uplink with an uncorrelated Rayleigh fading channel. Moreover, from a signal processing perspective to enhance the student’s understanding, we analyze the efficiency and error performance of Massive MIMO systems with MPSK and MQAM modulation schemes as well as perfect and imperfect channel estimates. The leading industry software package MATLAB R2022 is used to develop all laboratory experiments and the codes are elaborated in this analysis. Data collected from the experiments are used to generate spectral efficiency and error performance curves which can be used for future research. The findings underscore the significance of accounting for both scenarios and illuminate promising avenues for future research in the realm of massive MIMO education and learning. The assimilation of MATLAB® flowcharts for each MRC receiver, MPSK, and MQAM with perfect and imperfect Channel State Information (CSI) adds further depth to the study, ensuring a comprehensive understanding of the intricacies of massive MIMO systems. Ultimately, this contribution helps in the nurturing of expertise such that future generations of wireless communication pioneers can be inspired.