Asymptotic Performance Analysis of GSVD-NOMA Systems With a Large-Scale Antenna Array

Asymptotic Performance Analysis of GSVD-NOMA Systems With a Large-Scale Antenna Array
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DOI:
10.1109/twc.2018.2883102
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发表时间:
2018-05
影响因子:
10.4
通讯作者:
Zhuo Chen;Z. Ding;Xuchu Dai;R. Schober
Zhuo Chen;Z. Ding;Xuchu Dai;R. Schober
中科院分区:
计算机科学1区
文献类型:
--
作者:
Zhuo Chen;Z. Ding;Xuchu Dai;R. Schober

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本文考虑具有一个基站和两个用户的多输入多输出(MIMO)下行链路通信场景,其中每个用户配备$m$天线,基站配备$n$天线。为了有效地利用频谱资源,我们提出了一种结合广义奇异值分解(GSVD)和非正交多址(NOMA)的传输协议。采用两个用户实现的预期数据速率作为评估所提出的 GSVD-NOMA 方案的性能指标。特别是,我们首先描述了渐近情况下两个用户信道矩阵的平方广义奇异值的极限分布,其中发射和接收天线的数量接近无穷大。然后,我们计算所考虑的渐近状态下用户的预期标准化个人比率。此外,我们将所提出的 GSVD-NOMA 方案扩展到具有两个以上用户的一般 MIMO 下行链路通信场景。为此,我们提出了一种混合多址方法,其中基站将用户分为不同的组,在每个组内实施所提出的GSVD-NOMA方案,并且为不同的组分配正交带宽资源。最后,提供数值结果来验证所提出的 GSVD-NOMA 协议的有效性以及所开发的分析结果的准确性。
This paper considers a multiple-input multiple-output (MIMO) downlink communication scenario with one base station and two users, where each user is equipped with $m$ antennas and the base station is equipped with $n$ antennas. To efficiently exploit the spectrum resources, we propose a transmission protocol which combines generalized singular value decomposition (GSVD) and non-orthogonal multiple access (NOMA). The expected data rates achieved by the two users are adopted as performance metrics for the evaluation of the proposed GSVD-NOMA scheme. In particular, we first characterize the limiting distribution of the squared generalized singular values of the two users’ channel matrices for the asymptotic case, where the numbers of transmit and receive antennas approach infinity. Then, we calculate the expected normalized individual rates of the users in the considered asymptotic regime. Furthermore, we extend the proposed GSVD-NOMA scheme to the general MIMO downlink communication scenario with more than two users. To this end, we propose a hybrid multiple access approach, where the base station divides the users into different groups, the proposed GSVD-NOMA scheme is implemented within each group, and different groups are allocated orthogonal bandwidth resources. Finally, numerical results are provided to validate the effectiveness of the proposed GSVD-NOMA protocol and the accuracy of the developed analytical results.