System-Level Performance of Downlink Non-Orthogonal Multiple Access (NOMA) under Various Environments
System-Level Performance of Downlink Non-Orthogonal Multiple Access (NOMA) under Various Environments
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DOI：
10.1109/vtcspring.2015.7146120
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发表时间：
2015-05
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影响因子：
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通讯作者：
Yuya Saito;A. Benjebbour;Y. Kishiyama;Takehiro Nakamura
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作者：
Yuya Saito;A. Benjebbour;Y. Kishiyama;Takehiro Nakamura
在第五代(5G)移动通信系统中，非正交多址(NOMA)是一种比正交多址(OMA)更有前途的多址方案，可以进一步提高频谱效率。所有现有的对NOMA的评估都集中在宏小区部署上，因为NOMA充分利用了功率域和用户之间的信道增益的差异，例如，路径损耗，这在宏小区中通常足够大。目前，为了进一步提高系统性能，小小区变得越来越重要，并被研究用于未来的长期演进(LTE)增强。因此，研究NOMA在不同环境下的小蜂窝部署性能具有重要意义。在单用户多输入多输出(SU-MIMO)技术、自适应调制和编码(AMC)、反馈信道质量指标(CQI)等实际假设的基础上，研究了NOMA在小小区中的系统级性能。评估中还考虑了NOMA的一些关键特定功能，包括多用户配对和发射功率分配。基于计算机仿真，我们表明，对于宏蜂窝和小蜂窝部署，NOMA仍然可以提供比OMA更大的吞吐量性能提升。
Non-orthogonal multiple access (NOMA) is a promising multiple access scheme for further improving the spectrum efficiency compared to that for orthogonal multiple access (OMA) in the 5th Generation (5G) mobile communication systems. All of the existing evaluations for NOMA focus on the macrocell deployment since NOMA fully utilizes the power domain and the difference in channel gains, e.g., path loss, between users, which is typically sufficiently large in macrocells. Currently, small cells are becoming important and being studied for future Long-Term Evolution (LTE) enhancements in order to improve further the system performance. Thus, it is of great interest to study the performance of NOMA for small cell deployment under various environments. This paper investigates the system level performance of NOMA in small cells considering practical assumptions such as the single user multiple-input multiple-output (SU-MIMO) technique, adaptive modulation and coding (AMC), feedback channel quality indicator (CQI). Some of the key NOMA specific functionalities, including multi-user paring and transmit power allocation are also taken into account in the evaluation. Based on computer simulations, we show that for both macrocell and small cell deployments, NOMA can still provide a larger throughput performance gain compared to that for OMA.