无人机辅助的NOMA网络用户分组与功率分配算法

李国权; 林金朝; 徐勇军; 黄正文; 刘挺

doi:10.11959/j.issn.1000-436x.2020194

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无人机辅助的NOMA网络用户分组与功率分配算法

专题：面向智慧应急的通信与计算融合 | 更新时间：2024-06-05

- 无人机辅助的NOMA网络用户分组与功率分配算法
- User grouping and power allocation algorithm for UAV-aided NOMA network
- 通信学报 2020年41卷第9期页码：21-28
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 光电信息感测与传输技术重庆市重点实验室，重庆 400065
  3. 西安邮电大学陕西省信息通信网络及安全重点实验室，陕西西安 710121
  4. 布鲁内尔大学电子与计算机工程系，伦敦 UB8 3PH
- 作者简介：
  
  [ "李国权（1980- ），男，河南方城人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为MIMO无线通信传输技术、异构无线网络传输技术等" ]
  [ "林金朝（1966- ），男，四川蓬溪人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信传输技术、BAN与信息处理技术等" ]
  [ "徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学副教授，主要研究方向为认知无线电、异构无线网络资源分配算法与性能分析等" ]
  [ "黄正文（1981- ），男，安徽合肥人，伦敦布鲁内尔大学讲师、高级研究员，主要研究方向为人工智能、复杂系统优化、数据分析等" ]
  [ "刘挺（1980- ），男，陕西西安人，博士，光电信息感测与传输技术重庆市重点实验室副研究员，主要研究方向为加密算法、无线通信与光纤通信技术" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2019YFC1511300);重庆市自然科学基金资助项目(cstc2019jcyj-msxmX0666);重庆市自然科学基金资助项目(cstc2019jcyj-xfkxX0002);陕西省信息通信网络及安全重点实验室开放课题基金资助项目(ICNS201904)
- DOI：10.11959/j.issn.1000-436x.2020194
  中图分类号： TN929.5
- 网络出版日期：2020-09，
  
  纸质出版日期：2020-09-25
- 稿件说明：
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李国权, 林金朝, 徐勇军, 等. 无人机辅助的NOMA网络用户分组与功率分配算法[J]. 通信学报, 2020,41(9):21-28.

Guoquan LI, Jinzhao LIN, Yongjun XU, et al. User grouping and power allocation algorithm for UAV-aided NOMA network[J]. Journal on communications, 2020, 41(9): 21-28.
李国权, 林金朝, 徐勇军, 等. 无人机辅助的NOMA网络用户分组与功率分配算法[J]. 通信学报, 2020,41(9):21-28. DOI： 10.11959/j.issn.1000-436x.2020194.

Guoquan LI, Jinzhao LIN, Yongjun XU, et al. User grouping and power allocation algorithm for UAV-aided NOMA network[J]. Journal on communications, 2020, 41(9): 21-28. DOI： 10.11959/j.issn.1000-436x.2020194.

摘要

为了提高传输的灵活性和应对应急通信的场景，提出了一种基于无人机辅助的非正交多址接入系统用户分组与功率分配联合优化算法。考虑基站最大发射功率约束与用户分组约束，构建了 NOMA 多用户和速率最大化的资源分配问题。为了解决该非凸问题，基于图论提出了最大割定理下的用户分组算法，实现了组内用户与无人机的相对距离最小。基于分组结果，利用辅助变量法，将原非凸功率分配子问题转化为凸优化问题求解。仿真结果表明，所提算法具有较好的和速率性能。

Abstract

To improve the transmission flexibility of emergency communication scenarios

a joint user grouping and power allocation algorithm was proposed for UAV-aided non-orthogonal multiple access (NOMA) system.A sum-rate maximization resource allocation algorithm was formulated under the constraints of the maximum transmit power and the user grouping.To solve the non-convex problem

a graph-based user grouping algorithm was proposed to minimize the relative distance between the UAV and users.Based on the grouping result

the power allocation sub-problem was transformed into a convex one by using the auxiliary-variable approach.Simulation results demonstrate that the proposed algorithm has better performance in terms of sum rates.

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references

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