论文标题
渐近光谱效率的低复杂性优化在大规模MIMO NOMA中
Low Complexity Optimization of the Asymptotic Spectral Efficiency in Massive MIMO NOMA
论文作者
论文摘要
大量的多输入多输出（MIMO）技术有助于无线通道的能力大大提高，而非正交多重访问（NOMA）解决了传统正交多重访问（OMA）技术中资源有限的问题，有望提高光谱效率。这项工作使用渐近能力计算结果来降低小型MIMO-NOMA的功率分配算法的复杂性，以便将其应用于具有大量MIMO阵列的系统。所提出的方法最大程度地提高了所考虑的系统的总容量，但要受功率和性能约束，并且尽管对任意大型天线阵列仍然保持低复杂性，但比替代方法表现出更高的准确性。
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 work 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.
