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The Application of Antenna Diversity to NOMA With Statistical Channel State Information

机译:天线分集在具有统计信道状态信息的NOMA中的应用

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In this paper, antenna diversity is used to improve the outage performance of downlink non-orthogonal multiple access (NOMA) systems combined with single-user multiple-input multiple-output (SU-MIMO) due to the statistical channel state information (CSI), that the transmitter only knows the statistical characteristic associated with each user's channel matrix. We design the precoding and detection vectors, which makes the proposed MIMO-NOMA system reduce to a single-antenna NOMA system with statistical CSI. Next, a dynamic power allocation scheme is proposed to maximize the ergodic sum rate of the considered NOMA group with the minimum ergodic rate constraints of the weaker users. Under this power allocation, we analyze the impact of user clustering and then develop a novel user clustering algorithm. Also, the outage analysis indicates that the proposed system only obtains receive diversity and under the proposed power allocation, the users' diversity gains are linear with their successive interference cancellation decoding orders. Simulation results confirm our proposed analysis.
机译:在本文中,由于统计信道状态信息(CSI),天线分集用于改善与单用户多输入多输出(SU-MIMO)相结合的下行链路非正交多址(NOMA)系统的中断性能即,发射机仅知道与每个用户的信道矩阵相关的统计特性。我们设计了预编码和检测向量,从而使所提出的MIMO-NOMA系统简化为具有统计CSI的单天线NOMA系统。接下来,提出了一种动态功率分配方案,以使较弱用户的最小遍历率约束最大化所考虑的NOMA组的遍历求和率。在这种功率分配下,我们分析了用户聚类的影响,然后开发了一种新颖的用户聚类算法。而且,中断分析表明,所提出的系统仅获得接收分集,并且在所提出的功率分配下,用户的分集增益与其连续的干扰消除解码顺序成线性关系。仿真结果证实了我们提出的分析。

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