基于群体串行干扰删除的混合预编码毫米波大规模MIMO NOMA传输系统
A hybrid precoding millimeter wave massive MIMO NOMA transmission system based on group level successive interference cancellation
  
DOI:
中文关键词:  毫米波;大规模MIMO;非正交多址;空分多址;混合预编码;群体串行干扰删除
英文关键词:mmWave; massive multiple input multiple output(MIMO); non orthogonal multiple access(NOMA); space division multiple access(SDMA); hybrid precoding; group level successive interference cancellation(GSIC)
基金项目:国家自然科学基金(62171235)资助项目
作者单位
许 伟 南京邮电大学 通信与信息工程学院,江苏 南京 210003 
董 恒 南京邮电大学 通信与信息工程学院,江苏 南京 210003 
宋荣方 南京邮电大学 通信与信息工程学院,江苏 南京 210003 
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中文摘要:
      针对现有毫米波大规模多输入多输出(Multiple Input Multiple Output, MIMO)系统中用户接入数量受限和能耗大的问题,提出了一种基于群体串行干扰删除(Group level Successive Interference Cancellation, GSIC)的混合预编码毫米波大规模MIMO非正交多址(Non Orthogonal Multiple Access, NOMA)下行传输新架构。首先,在基站处设计模拟预编码矩阵并根据等效信道增益进行群体划分;然后,采用迫零法设计数字预编码矩阵,在组内实施空分多址(Space Division Multiple Access, SDMA);最后,在用户端采用GSIC实现组间NOMA传输。此外,在考虑误差传播的条件下,推导了系统的可达和速率表达式,并提出了一种功率分配算法来解决此非凸优化问题。仿真结果表明,与基于分簇的混合预编码MIMO SIC NOMA和MIMO OMA系统相比,所提出的MIMO GSIC NOMA系统可获得更高的频谱效率和能量效率。
英文摘要:
      In the existing millimeter wave (mmWave) massive multiple input multiple output (MIMO) systems, the limited number of supported users and high energy consumption have become urgent problems to be tackled. Therefore, a novel framework for hybrid precoding of mmWave massive MIMO non orthogonal multiple access (NOMA) downlink transmission based on group level successive interference cancellation (GSIC) is proposed. Firstly, the analog precoding matrix is designed at the base station (BS), and the users are divided into different groups according to their equivalent channel gains. Secondly, the digital precoding matrix is determined by leveraging the principle of zero forcing to implement the space division multiple access (SDMA) within each single group. Finally, based on GSIC, NOMA is applied to groups. Further, the expression is derived for the achievable sum rate based on error propagation. A power allocation algorithm is proposed to solve the above non convex optimization problem. Simulation results show that the proposed hybrid precoding MIMO GSIC NOMA system can achieve higher spectral efficiency and energy efficiency than cluster based MIMO SIC NOMA and MIMO OMA systems.
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