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Multiple Unmanned-Aerial-Vehicles Deployment and User Pairing for Nonorthogonal Multiple Access Schemes

机译:多种无人驾驶车辆部署和用户配对非正交多址方案

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摘要

Nonorthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the fifth generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand for higher SE in the NOMA-based wireless communications. However, traditional ground-to-ground (G2G) communications are hard to satisfy these demands, especially for the cellular uplinks. To solve these challenges, this article proposes a multiple unmanned-aerial-vehicles (UAVs)-aided uplink NOMA method. In detail, multiple hovering UAVs relay data for a half of ground users (GUs) and share the spectrums with the other GUs that communicate with the base station (BS) directly. Furthermore, this article proposes a K-means clustering-based UAV deployment scheme and location-based user pairing (UP) scheme to optimize the transceiver association for the multiple UAVs-aided NOMA uplinks. Finally, a sum power minimization-based resource allocation problem is formulated with the lowest Quality-of-Service (QoS) constraints. We solve it with the message-passing algorithm and evaluate the superior performances of the proposed scheduling and paring schemes on SE and energy efficiency (EE). Extensive simulations are conducted to compare the performances of the proposed schemes with those of the single UAV-aided NOMA uplinks, G2G-based NOMA uplinks, and the proposed multiple UAVs-aided uplinks with a facility location framework-based UAV deployment. Simulation results demonstrate that the proposed multiple UAVs deployment and UP-based NOMA scheme significantly improves the EE and the SE of the cellular uplinks at the cost of only a little relaying power consumption of UAVs.
机译:非正交多次访问(NOMA)显着提高了第五代和超越(B5G)无线通信中的连接机会并增强了频谱效率(SE)。同时,新兴的B5G服务在基于NOMA的无线通信中的高级服务需求。然而,传统的地对地(G2G)通信很难满足这些需求,特别是对于蜂窝上行链路。为了解决这些挑战,本文提出了多种无人驾驶车辆(无人机)的上行链路NOMA方法。详细地,多次悬停过的UAV可用于一半接地用户(GUS)的中继数据,并与直接与基站(BS)通信的其他GUS共享频谱。此外,本文提出了基于K-Means的基于聚类的UV部署方案和基于位置的用户配对(UP)方案,以优化多个无人机辅助NOMA上行链路的收发器关联。最后,配制了基于功率最小化的资源分配问题,具有最低的服务质量(QoS)约束。我们用消息传递算法解决了它,并评估了SE和能效(EE)上所提出的调度和解析方案的优越性。进行广泛的仿真以比较所提出的方案的性能与单个无人机辅助NOMA上行链路,基于G2G的NOMA上行链路的性能,以及所提出的多个无人机辅助上行链路,其具有基于设施位置框架的UV部署。仿真结果表明,所提出的多个无人机部署和基于UP的NOMMS方案显着改善了蜂窝上行链路的EE和SE,其成本仅仅是无人机的一点中继功耗。

著录项

  • 来源
    《Internet of Things Journal, IEEE》 |2021年第3期|1883-1895|共13页
  • 作者单位

    College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China;

    College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China;

    College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China;

    College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China;

    Institute for Communication Technologies and Embedded Systems RWTH Aachen University Aachen Germany;

    College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China;

    Research Organization of Electrical Communication Tohoku University Sendai Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    NOMA; Uplink; Unmanned aerial vehicles; Internet of Things; Relays; Resource management; Receiving antennas;

    机译:NOMA;上行链路;无人驾驶航空公司;事物互联网;继电器;资源管理;接收天线;

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