RESOURCE ALLOCATION FOR DOWNLINK NOMA SYSTEMS: KEY TECHNIQUES AND OPEN ISSUES
RESOURCE ALLOCATION FOR DOWNLINK NOMA SYSTEMS: KEY TECHNIQUES AND OPEN ISSUES
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DOI：
10.1109/mwc.2018.1700099
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发表时间：
2018-04-01
影响因子：
12.9
通讯作者：
Kwak, Kyung-Sup
中科院分区：
文献类型：
--
作者：
Islam, S. M. Riazul;Zeng, Ming;Kwak, Kyung-Sup
本文介绍了下行链路非正交多址 (NOMA) 系统资源分配的进展，重点关注用户配对和功率分配算法。前者利用用户之间的信道增益差异对用户进行配对以获得高容量增益，而后者则将功率分配给每个集群中的用户以平衡系统吞吐量和用户公平性。此外，本文引入了集群公平性的概念，并提出了基于除法下最大差值的用户配对算法，以受控的方式在 NOMA 集群之间分配容量增益。此外，当用户具有预定义的服务质量时，对多输入多输出NOMA（MIMO-NOMA）和MIMO正交多址（MIMO-OMA）进行性能比较。仿真结果验证了 NOMA 相对于 OMA 的优势。最后，本文为下行NOMA资源分配的进一步研究提供了途径。
This article presents advances in resource allocation for downlink non-orthogonal multiple access (NOMA) systems, focusing on user pairing and power allocation algorithms. The former pairs the users to obtain high capacity gain by exploiting the channel gain difference between the users, while the latter allocates power to users in each cluster to balance system throughput and user fairness. Additionally, the article introduces the concept of cluster fairness and proposes the divide-and-next-largest-difference-based user pairing algorithm to distribute the capacity gain among the NOMA clusters in a controlled manner. Furthermore, performance comparison between multiple-input multiple-output NOMA (MIMO-NOMA) and MIMO orthogonal multiple access (MIMO-OMA) is conducted when users have pre-defined quality of service. Simulation results are presented, which validate the advantages of NOMA over OMA. Finally, the article provides avenues for further research on resource allocation for downlink NOMA.