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Performance analysis of Power-Domain NOMA and NOMA-2000 on AWGN and Rayleigh fading channels
Physical Communication ( IF 2.0 ) Pub Date : 2020-08-25 , DOI: 10.1016/j.phycom.2020.101185
Ali Al Khansa , Xiao Chen , Yue Yin , Guan Gui , Hikmet Sari

Non-Orthogonal Multiple Access (NOMA) has been a hot research topic over the past years, because it is widely viewed as a promising technology for 5G cellular networks and beyond. The NOMA literature today is heavily based on the so-called Power-Domain NOMA (PD-NOMA), which consists of superposing user signals with different powers. Also, the focus in the literature has been on the derivation of achievable rates and other information theoretic measures. In contrast, the performance degradation that is caused by multi-user interference at practical bit error rate (BER) values has not attracted much attention thus far. Taking a major deviation from the current trend, some of the present authors recently revived an early NOMA concept, which had been rather overlooked in the literature. This concept, which we refer to as NOMA-2000 due to its year of introduction, consists of superposing the signals of two user groups instead of superposing the signals of two single users. In subsequent papers, performance of NOMA-2000 has been investigated in different scenarios, but no comparisons with PD-NOMA have been provided. The purpose of this paper is to fill this gap and compare the BER performances of the two schemes using different channel models, channel overload factors, and power imbalance levels between users. For the Rayleigh fading channel, we consider both static user grouping and dynamic user grouping. Our results give a clear insight into the practical performance limitations of PD-NOMA and the improvements that can be achieved with NOMA-2000 in most cases.



中文翻译:

功率域NOMA和NOMA-2000在AWGN和瑞利衰落信道上的性能分析

在过去的几年中,非正交多路访问(NOMA)一直是一个热门研究课题,因为它被广泛视为5G蜂窝网络及以后的有前途的技术。如今的NOMA文献很大程度上基于所谓的Power-Domain NOMA(PD-NOMA),它由不同功率的用户信号叠加而成。同样,文献中的重点是可达到的速率的推导和其他信息理论方法。相反,到目前为止,由多用户在实际误码率(BER)值下的干扰引起的性能下降尚未引起太多关注。与目前的趋势大相径庭的是,一些目前的作者最近恢复了早期的NOMA概念,该概念在文献中已被忽略。这个概念 由于其推出年份,我们将其称为NOMA-2000,它包括叠加两个用户组的信号,而不是叠加两个单用户的信号。在随后的论文中,已经研究了NOMA-2000在不同情况下的性能,但未提供与PD-NOMA的比较。本文的目的是填补这一空白,并使用不同的信道模型,信道过载因子和用户之间的功率不平衡水平来比较两种方案的BER性能。对于瑞利衰落信道,我们同时考虑了静态用户分组和动态用户分组。我们的结果清楚地了解了PD-NOMA的实际性能局限性以及在大多数情况下NOMA-2000可以实现的改进。包括叠加两个用户组的信号,而不是叠加两个单用户的信号。在随后的论文中,已经研究了NOMA-2000在不同情况下的性能,但未提供与PD-NOMA的比较。本文的目的是填补这一空白,并使用不同的信道模型,信道过载因子和用户之间的功率不平衡水平来比较两种方案的BER性能。对于瑞利衰落信道,我们同时考虑了静态用户分组和动态用户分组。我们的结果清楚地了解了PD-NOMA的实际性能局限性以及在大多数情况下NOMA-2000可以实现的改进。包括叠加两个用户组的信号,而不是叠加两个单用户的信号。在随后的论文中,已经研究了NOMA-2000在不同情况下的性能,但未提供与PD-NOMA的比较。本文的目的是填补这一空白,并使用不同的信道模型,信道过载因子和用户之间的功率不平衡水平来比较两种方案的BER性能。对于瑞利衰落信道,我们同时考虑了静态用户分组和动态用户分组。我们的结果清楚地了解了PD-NOMA的实际性能局限性以及在大多数情况下NOMA-2000可以实现的改进。但没有提供与PD-NOMA的比较。本文的目的是填补这一空白,并使用不同的信道模型,信道过载因子和用户之间的功率不平衡水平来比较两种方案的BER性能。对于瑞利衰落信道,我们同时考虑了静态用户分组和动态用户分组。我们的结果清楚地了解了PD-NOMA的实际性能局限性以及在大多数情况下NOMA-2000可以实现的改进。但没有提供与PD-NOMA的比较。本文的目的是填补这一空白,并使用不同的信道模型,信道过载因子和用户之间的功率不平衡水平来比较两种方案的BER性能。对于瑞利衰落信道,我们同时考虑了静态用户分组和动态用户分组。我们的结果清楚地了解了PD-NOMA的实际性能局限性以及在大多数情况下NOMA-2000可以实现的改进。

更新日期:2020-08-25
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