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计算机工程 ›› 2022, Vol. 48 ›› Issue (11): 177-183. doi: 10.19678/j.issn.1000-3428.0063272

• 移动互联与通信技术 • 上一篇    下一篇

面向URLLC业务的MIMO上行系统线性接收机性能分析

罗菲莹, 李新民, 李强, 邓惠云   

  1. 西南科技大学 信息工程学院, 四川 绵阳 621000
  • 收稿日期:2021-11-08 修回日期:2022-03-02 发布日期:2022-05-02
  • 作者简介:罗菲莹(1997—),女,硕士研究生,主研方向为无线通信;李新民(通信作者),讲师、博士;李强,教授、博士;邓惠云,硕士研究生。
  • 基金资助:
    国家重点研发计划(2019YFB1705100);四川省科技计划(2019JDTD0019,2020YFG0148);西南科技大学校级教改项目(19xn0091,18zx7142);国家留学基金委西部项目(202008515123)。

Performance Analysis of Linear Receivers in MIMO Uplink System for URLLC Business

LUO Feiying, LI Xinmin, LI Qiang, DENG Huiyun   

  1. School of Information Engineering, Southwest University of Science and Technology, Mianyang, Sichuan 621000, China
  • Received:2021-11-08 Revised:2022-03-02 Published:2022-05-02

摘要: 针对5G超可靠低时延通信(URLLC)业务的应用需求,研究多输入多输出(MIMO)上行系统中匹配滤波接收机和迫零接收机的解码性能。在URLLC系统下,推导多用户MIMO上行链路在有限块长传输时两种接收机速率和解码错误率的表达式。采用基于随机矩阵理论的渐近等价分析方法和信道色散系数的泰勒展开式,分别获得高低信噪比场景下两种接收机解码错误率的解析式,据此分析两种接收机在URLLC业务下的性能差异,发现随着信噪比增加,迫零接收机解码错误率接近于零,而匹配滤波接收机解码错误率受限于基站天线数和用户数的比值。采用蒙特卡罗方法对所得理论表达式进行仿真验证,结果表明,随着信噪比增加,两种接收机速率和解码错误率的解析式与蒙特卡罗仿真结果十分接近,在低信噪比场景下解码错误率均高于10-5,在高信噪比场景下满足URLLC业务的可靠性指标,并且迫零接收机可靠性明显优于匹配滤波接收机。

关键词: 超可靠低时延通信, 多输入多输出技术, 迫零接收机, 匹配滤波接收机, 解码错误率

Abstract: To meet the requirements of the 5th-Generation(5G) Ultra-Reliable Low-Latency Communication(URLLC) business, the decoding error probability performance of Matched-Filtering (MF) and Zero-Forcing (ZF) receivers in a multi-user Multiple-Input Multiple-Output(MIMO) uplink system is studied.First, the expressions of the decoding error probability of two receivers are derived for URLLC business with finite-blocklength transmission.Based on the asymptotic equivalent analysis method of random matrix theory and the Taylor expansion of the channel dispersion coefficient, the analytical expressions of decoding error probability are obtained in high/low Signal-to-Noise Ratio(SNR) scenarios.Second, the performance gap of two receivers of a URLLC system is analyzed based on the proposed analytical expressions.The analysis shows that, with the increase in SNR, the decoding error probability of ZF receiver is close to zero, while the decoding error probability of MF receiver is limited by the ratio of the number of base station antennas to the number of users.Finally, the Monte Carlo method is used to verify the proposed analytical expressions.The simulation results show that the analytical expressions of the rate and decoding error probability of two receivers are very close to the Monte Carlo simulation results with the increase in SNR.In a low SNR scenario, the decoding error probabilities of two receivers are higher than 10-5.For a high SNR, two linear receivers can satisfy the reliability requirements of a URLLC system, and the reliability performance of the ZF receiver outperforms that of the MF receiver.

Key words: Ultra-Reliable Low-Latency Communication(URLLC), Multiple-Input Multiple-Output(MIMO) technology, Zero-Forcing(ZF) receiver, Matched Filtering(MF) receiver, decoding error probability

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