通信与信息网络学报

• Special Focus: UAV Communications •    下一篇

基于用户公平性的UAV-NOMA通信系统资源分配

  

  • 修回日期:2020-05-31 出版日期:2020-06-25 发布日期:2020-07-14

Resource Allocation in UAV-NOMA Communication Systems Based on Proportional Fairness

Hui Zhang(),Baoji Wang(),Chen Chen(),Xiang Cheng(),Hang Li()   

  1. State Key Laboratory of Advanced Optical Communication Systems and Networks,Department of Electronics, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China
    Data-Driven Information System Laboratory, Shenzhen Research Institute of Big Data, Shenzhen 518172, China
  • Revised:2020-05-31 Online:2020-06-25 Published:2020-07-14
  • About author:Hui Zhang received his B.S.degree from PLA University of Science and Technology,Nanjing,China,in 2014.He is currently working towards his M.S.degree in State Key Laboratory of Advanced Optical Communication Systems and Networks,School of EECS, Peking University,Beijing,China. His research interests include vehicular communications and networking, UAV communications, non-orthogonal multiple access,and game theory.|Baoji Wang received his B.S. degree from Nankai University, Tianjin, China, in 2015. He is currently working towards his Ph.D.degree in State Key Laboratory of Advanced Optical Communication Systems and Networks, School of EECS, Peking University, Beijing,China.His research interests include communication signal processing,vehicular communications and networking,and UAV communications.|Mr. Wang has received the Best Paper Award at GLOBECOM’18.|Chen Chen (S’07-M’09-SM’17) received his Ph.D. degree from Peking University, Beijing, China, in 2009.|He is currently an associate professor with Peking University. Since 2010,he has been the principal investigator of over 20 funded research projects.He has authored or coauthored over 100 journal and conference papers and 4 books. His current research interests include signal processing,and wireless communications and networking.|Dr.Chen was a recipient of two Outstanding Paper Awards from the Chinese Government of Beijing in 2013 and 2018,respectively,and the Best Paper Awards of IEEE ICNC’17,ICCS’18,and Globecom’18. He is currently an associate editor of IET Communications.He has served as the symposium co-chair,the session chair,and a member of the Technical Program Committee for several international conferences.|Xiang Cheng(S’05-M’10-SM’13)[corresponding author]received his Ph.D.degree from Heriot-Watt University,Edinburgh,U.K.,and the University of Edinburgh,Edinburgh,U.K.,in 2009.|He is currently a professor with Peking University. His general research interests are in areas of channel modeling,wireless communications,and data analytics,subject on which he has published more than 200 journal and conference papers,6 books,and holds 10 patents.|Prof. Cheng was a recipient of the IEEE Asia Pacific Outstanding Young Researcher Award in 2015;and the co-recipient of the 2016 IEEE JSAC Best Paper Award: Leonard G.Abraham Prize;the NSFC Outstanding Young Investigator Award; and the First-Rank and Second-Rank Awards in Natural Science,Ministry of Education,in China.He has also received the Best Paper Awards at IEEE ITST’12,ICCC’13,ITSC’14,ICC’16,ICNC’17,GLOBECOM’18, ICCS’18, and ICC’19. He has served as the symposium leading chair, the co-chair, and a member of the Technical Program Committee for several international conferences. He is currently an associate editor of the IEEE Transactions on Wireless Communications,IEEE Transactions on Intelligent Transportation Systems,IEEE Wireless Communications Letters,and the Journal of Communications and Information Networks, and is an IEEE Distinguished Lecturer.|Hang Li received his B.E.and M.S.degrees from Beihang University, Beijing, China, in 2008 and 2011, respectively, and his Ph.D. degree from Texas A&M University,College Station,TX,USA,in 2016.|He was a postdoctoral research associate with Texas A&M University from September 2016 to August 2017 and the University of California-Davis, Davis, CA, USA, from September 2017 to March 2018. He was a visiting research scholar with the Shenzhen Research Institute of Big Data,Shenzhen,China,from April 2018 to June 2019,where he has been a research scientist since June 2019.His current research interests include wireless networks,Internet of things,stochastic optimization,and applications of machine learning.
  • Supported by:
    the Key-Area Research and Development Program of Guangdong Province Project under(2019B010153003);the open research fund of Key Laboratory of Wireless Sensor Network&Communication under(2017003);Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,and the Open Research Fund from Shenzhen Research Institute of Big Data under(2019ORF01006)

摘要:

本文研究了非正交多址技术在无人机通信系统中应用的功率分配问题。特别地,本文提出了一种新的资源分配方案来提高信道状态信息相对较差的用户的传输速率,同时将系统和速率的损失最小化。为了有效地解决这一问题,本文将优化问题分解为三个子问题。首先,我们优化了用户配对和子信道分配问题。其次,推导出在同一子信道上不同用户间分配发射功率的最优功率比例因子。最后,为不同的子信道分配适当的功率,以提高子信道的性能。仿真结果表明,该方案能够在系统和速率和用户公平性之间取得适当的平衡,因而比基准方案具有更好的性能。

Abstract:

Abstract—This paper investigates the power allocation problem in non-orthogonal multiple access (NOMA)integrated unmanned aerial vehicle (UAV) communication systems.In particular, we propose a novel resource allocation scheme to increase the transmission rate of the users that have relatively worse channel state information, while reducing the sum rate loss.To solve this problem efficiently, we decouple the optimization problem into three subproblems.First, we solve the problem of user pairing and subchannel allocation.Second,the optimum power proportional factor is derived to allocate transmit power among different users on the same subchannel.At last,different subchannels are allocated with appropriate power to improve the performance of the subchannels.Simulation results show that the proposed scheme can enjoy a better performance than the benchmark methods since it can achieve a proper trade-off between the system sum rate and the proportional fairness.

 基于用户公平性的UAV-NOMA通信系统资源分配

本文研究了非正交多址技术在无人机通信系统中应用的功率分配问题。特别地,本文提出了一种新的资源分配方案来提高信道状态信息相对较差的用户的传输速率,同时将系统和速率的损失最小化。为了有效地解决这一问题,本文将优化问题分解为三个子问题。首先,我们优化了用户配对和子信道分配问题。其次,推导出在同一子信道上不同用户间分配发射功率的最优功率比例因子。最后,为不同的子信道分配适当的功率,以提高子信道的性能。仿真结果表明,该方案能够在系统和速率和用户公平性之间取得适当的平衡,因而比基准方案具有更好的性能。

Key words: UAV communications, NOMA, power allo-cation, proportional fairness

No Suggested Reading articles found!