Massive multiple-input multiple-output (MIMO) technology facilitates huge increases in the capacity of wireless channels, while non-orthogonal multiple access (NOMA) addresses the problem of limited resources in traditional orthogonal multiple access (OMA) techniques, promising enhanced spectral efficiency. This letter uses asymptotic capacity computation results to reduce the complexity of a power allocation algorithm for small-scale MIMO-NOMA, so that it may be applied for systems with massive MIMO arrays. The proposed method maximizes the sum-capacity of the considered system, subject to power and performance constraints, and demonstrates greater accuracy than alternative approaches despite remaining low-complexity for arbitrarily large antenna arrays.

中文翻译：

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大规模 MIMO NOMA 中渐近谱效率的低复杂度优化

大规模多输入多输出 (MIMO) 技术促进了无线信道容量的大幅增加，而非正交多址 (NOMA) 解决了传统正交多址 (OMA) 技术中资源有限的问题，有望提高频谱效率. 这封信使用渐近容量计算结果来降低小规模 MIMO-NOMA 功率分配算法的复杂度，使其可以应用于具有大规模 MIMO 阵列的系统。所提出的方法在受功率和性能限制的情况下最大化了所考虑系统的总容量，并且尽管对于任意大的天线阵列保持低复杂度，但仍比替代方法具有更高的准确性。