Bandwidth Minimization under Probabilistic Constraints and Statistical CSI for NOMA

Krishna Chitti, F. Rusek, Chaitanya Tumula
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引用次数: 1

Abstract

Non-Orthogonal Multiple Access (NOMA) is studied under statistical Channel State Information (CSI) and probabilistic constraints. Unlike the conventional power domain only NOMA, the definition of NOMA here considers both the power and the frequency domains simultaneously, where a flat power spectrum is assumed for each UE. This increases the capacity region when compared to the conventional definition. The problem of minimizing the number of consumed resource elements (REs) while satisfying the outage constraints is solved. An RE here is a frequency slot of unit bandwidth resolution, so the considered problem translates to a saving in bandwidth. The solution techniques involve a Gaussian Approximation of NOMA user rates and an offline empirical approach based on tail distributions. Numerical results show that the former is a good approximation while the latter provides exact results. In any case, these methods outperform the orthogonal multiple access techniques.
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概率约束下的带宽最小化和NOMA的统计CSI
研究了统计信道状态信息(CSI)和概率约束下的非正交多址(NOMA)。与传统的仅功率域的NOMA不同,这里的NOMA定义同时考虑功率域和频域,其中假设每个UE都有平坦的功率谱。与传统定义相比,这增加了容量区域。解决了在满足中断约束的情况下最小化消耗资源元素数量的问题。这里的RE是单位带宽分辨率的频率槽,因此所考虑的问题转化为带宽的节省。解决技术包括对NOMA用户速率的高斯近似和基于尾部分布的离线经验方法。数值结果表明,前者是一个很好的近似,后者提供了精确的结果。在任何情况下,这些方法都优于正交多址技术。
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