论文标题
用不完美的SIC解释传递的非正交多访问方案，改善了用户公平性
Improved User Fairness in Decode-Forward Relaying Non-orthogonal Multiple Access Schemes with Imperfect SIC
论文作者
论文摘要
非正交多访问（NOMA）是在具有巨大连接的超密集网络中服务的关键技术之一，这对于物联网（IoT）应用至关重要。此外，与正交多重访问（OMA）方案相比，NOMA提供了更好的光谱效率。但是，在NOMA中，应实施连续的干扰取消器（SIC）以缓解干扰，并且主要在文献中，对于NOMA所涉及的系统，应采用完美的SIC。不幸的是，实际情况并非如此，这种不完美的SIC效应限制了涉及的NOMA系统的性能。此外，它会导致用户之间的不公平性。在本文中，与传统的DFNOMA（C-DFNOMA）相比，我们引入了反向解析传递NOMA（R-DFNOMA），以提高用户公平性，这在文献中得到了广泛分析。在分析中，我们定义了不完美的SIC效应，取决于信道褪色，并且使用这种不完美的SIC，我们将获得精确的表达式（EC）（EC）和中断概率（OP）。此外，我们评估了所提出的R-DFNOMA的位错误性能，并在闭合形式中得出了位错误概率（BEP），但在文献中也没有很好地研究。然后，我们根据所有关键性能指标（即EC，OP和BEP）定义用户公平索引。基于广泛的模拟，所有派生的表达式均已验证，并且证明，在所有KPI方面，建议的R-DFNOMA比C-DFNAMA提供了更好的用户公平性。最后，我们讨论了源和继电器对性能指标和用户公平性的电力分配的影响
Non-orthogonal multiple access (NOMA) is one of the key technologies to serve in ultra-dense networks with massive connections which is crucial for Internet of Things (IoT) applications. Besides, NOMA provides better spectral efficiency compared to orthogonal multiple access (OMA) schemes. However, in NOMA, successive interference canceler (SIC) should be implemented for interference mitigation and mostly in the literature, perfect SIC is assumed for NOMA involved systems. Unfortunately, this is not the case for practical scenarios and this imperfect SIC effect limits the performance of NOMA involved systems. In addition, it causes unfairness between users. In this paper, we introduce reversed decode-forward relaying NOMA (R-DFNOMA) to improve user fairness compared to conventional DFNOMA (C-DFNOMA) which is widely analyzed in literature. In the analysis, we define imperfect SIC effect dependant to channel fading and with this imperfect SIC, we derive exact expressions for ergodic capacity (EC) and outage probability (OP). Moreover, we evaluate bit error performance of proposed R-DFNOMA and derive bit error probability (BEP) in closed-form which has not been also studied well in literature. Then, we define user fairness index in terms of all key performance indicators (KPIs) (i.e., EC, OP and BEP). Based on extensive simulations, all derived expressions are validated, and it is proved that proposed R-DFNOMA provides better user fairness than C-DFNOMA in terms of all KPIs. Finally, we discuss the effect of power allocations at the both source and relay on the performance metrics and user fairness
