空间相关MIMO-OFDMA系统中5G LDPC和极性解码性能研究

2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM) Pub Date : 2022-01-03 DOI:10.1109/imcom53663.2022.9721755

N. T. Nga, Chu Huu Khanh, Nguyen Quy Tho

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引用次数: 2

摘要

本文研究了6ghz频段NLOS城市微场景(UMi)下2 × 2多输入多输出(MEMO) 5G信道建模模拟器的空间互相关特性。我们确定，改变天线单元间距的距离会导致MIMO 5G信道建模的相关特性发生变化，特别是在发射机中。我们实现了不同的5G LDPC和Polar解码算法来研究宽带空间相关多输入和多输出正交频分多址(MIMO-OFDMA)系统的性能。在系统空间相关系数不同的情况下，估计了MAC层的活动移动台数。在LDPC LAMS、LDPC BP和Polar解码算法中，我们建议在5G相关MIMO-OFDMA系统中使用SLC L = 8的Polar码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Investigation of The 5G LDPC and Polar Decoding Performance in Spatial Correlated MIMO-OFDMA System

This paper studies the spatial cross-correlation properties of 5G channel modeling simulator of the 2 × 2 Multiple-input Multiple-output (MEMO) in NLOS Urban Micro Scenario (UMi) at 6 GHz frequency band. We determine that changing the distance of the antenna elements spacings leads to vary the correlation characteristics of MIMO 5G channel modelling, especially in the transmitter. We implement the distinct 5G LDPC and Polar decoding algorithms to investigate the performance of the wide-band spatial correlated Multiple input and Multiple output Orthogonal Frequency Division Multiple Access (MIMO-OFDMA) system. Under different spatial correlation coefficient of the system, we estimate the numbers of active mobile station (MS) in MAC layer. Of the LDPC LAMS, LDPC BP and Polar decoding algorithms, we propose to use the Polar code with Successive Cancellation List (SLC) L = 8 in our 5G correlated MIMO-OFDMA system.

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2022 16th International Conference on Ubiquitous Information Management and Communication (IMCOM)

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