基于GSIC的无小区大规模MIMO-NOMA系统下行可达速率分析
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南京邮电大学通信与信息工程学院,南京 210003

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国家自然科学基金(62171235)。


Achievable Rate Analysis for GSIC-Based Cell-Free Massive MIMO-NOMA Downlink Systems
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College of Telecommunication & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

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    摘要:

    探索了无小区大规模多输入多输出(Multiple-input multiple-output, MIMO)系统与非正交多址接入(Non-orthogonal multiple access, NOMA)的融合方案,将基于群体串行干扰删除(Group successive interference cancellation, GSIC)的NOMA技术应用于无小区大规模MIMO系统下行链路,并提出根据用户等效路径损耗对用户进行群体划分的方法,推导得出基于GSIC的无小区大规模MIMO-NOMA系统下行链路用户可达速率表达式。仿真结果表明,相比于传统的串行干扰删除(Successive interference cancellation, SIC)-NOMA系统,基于GSIC的无小区大规模MIMO-NOMA系统在可达速率方面具有明显优势。

    Abstract:

    The paper investigates the integration scheme of cell-free massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA). NOMA based on group successive interference cancellation (GSIC) method is applied to the downlink cell-free massive MIMO systems. Furthermore, a novel grouping method according to user’s equivalent path loss is developed and the expression of per user’s achievable rate is derived. The simulation results show that the performance of downlink cell-free massive MIMO-NOMA systems based on GSIC is better than that of the cell-free massive MIMO-NOMA systems based on successive interference cancellation(SIC) in terms of achievable rate.

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刘成成,邰其心,刘鏐,宋荣方.基于GSIC的无小区大规模MIMO-NOMA系统下行可达速率分析[J].数据采集与处理,2023,38(6):1299-1306

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  • 收稿日期:2022-03-29
  • 最后修改日期:2023-11-15
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  • 在线发布日期: 2023-11-25