基于双边匹配模型的上行链路NOMA用户配对方案
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作者单位:

1.南京邮电大学通信与信息工程学院,南京210003;2.南京邮电大学通信与网络技术国家地方联合工程研究中心,南京210003

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国家自然科学基金(61671252,62071242)。


User Pairing Scheme for Uplink NOMA Based on Bilateral Matching Model
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Affiliation:

1.College of Communication & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;2.National Local Joint Engineering Research Center for Communications and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

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    摘要:

    针对上行链路非正交多址接入(Non-orthogonal multiple access, NOMA)中的用户配对问题,提出了一种基于双边匹配模型的上行链路NOMA用户配对方案,与现有的NOMA用户配对方案不同,本方案根据用户信道增益采取预分组,避免了信道增益差距巨大的用户配对,同时避免信道增益差距微小的用户配对,以提高系统整体性能;考虑信道增益过小的用户在现实场景中无法通信,设置一个信道增益门限值作为能否通信的判决条件,分组后采用信道增益差值作为偏好度进行组间两两配对。仿真结果表明,相较于现有的传统NOMA配对方案和经典的正交多址接入(Orthogonal multiple access, OMA)网络,本文所提方案有效地提高了系统的遍历和速率;在信道增益门限值发生变化时,本文所提方案依然优于其他方案。

    Abstract:

    For the problem of user pairing in uplink non-orthogonal multiple access (NOMA), this paper proposes a NOMA user pairing scheme based on bilateral matching model. Different from the existing NOMA user pairing scheme, this scheme adopts pre-grouping according to the user channel gain, so as to avoid the user pairing with large channel gain gap. At the same time, users with small channel gain difference can be avoided to improve the overall performance of the system. Considering that users with too small channel gain cannot communicate in the real scene, a threshold value of channel gain is set as the decision condition of whether the communication can be achieved. After grouping, the channel gain difference is used as the preference degree for pairwise pairing between groups. The simulation results show that compared with the traditional NOMA pairing scheme and the classical orthogonal multiple access (OMA) network, the proposed scheme can effectively improve the traversal and speed of the system. The proposed scheme is still superior to other schemes when the threshold value of channel gain changes.

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曹可为,杨震.基于双边匹配模型的上行链路NOMA用户配对方案[J].数据采集与处理,2022,37(2):336-345

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  • 收稿日期:2021-08-05
  • 最后修改日期:2021-12-24
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  • 在线发布日期: 2022-04-11