论文标题
NOMA多目标问题的聚类和功率优化
Clustering and Power Optimization for NOMA Multi-Objective Problems
论文作者
论文摘要
本文考虑上行链路多访问（MA）传输，其中MA技术在非正交多访问（NOMA）和正交多访问（OMA）之间进行自适应选择。两种类型的用户，即物联网（IoT）和增强的移动宽带（EMBB）共存，并共存不同的指标，可以优化，用于EMB的物联网和光谱效率（SE）的能源效率（EE）。对于NOMA和OMA，旨在最大化EE和SE加权的相应多目标分配问题。基于对最佳MA策略的识别，然后提出了一种聚类算法，以最大程度地提高每个群集的多目标度量以及NOMA的使用。所提出的聚类，功率分配和MA选择算法显示出优于其他聚类解决方案和非自适应MA技术。
This paper considers uplink multiple access (MA) transmissions, where the MA technique is adaptively selected between Non Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA). Two types of users, namely Internet of Things (IoT) and enhanced mobile broadband (eMBB) coexist with different metrics to be optimized, energy efficiency (EE) for IoT and spectral efficiency (SE) for eMBB. The corresponding multi-objective power allocation problems aiming at maximizing a weighted sum of EE and SE are solved for both NOMA and OMA. Based on the identification of the best MA strategy, a clustering algorithm is then proposed to maximize the multi-objective metric per cluster as well as NOMA use. The proposed clustering, power allocation and MA selection algorithm is shown to outperform other clustering solutions and non-adaptive MA techniques.
