IRS辅助的NOMA下行UAV网络中的联合波束成形和相移设计

doi:10.23919/JCIN.2020.9130430

通信与信息网络学报

• Special Focus: UAV Communications • 上一篇下一篇

IRS辅助的NOMA下行UAV网络中的联合波束成形和相移设计

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

Joint Beamforming and Phase Shift Design in Downlink UAV Networks with IRS-Assisted NOMA

Shiyu Jiao(),Fang Fang(),Xiaotian Zhou(),Haixia Zhang()

School of Electrical and Electronic Engineering, the University of Manchester, Manchester M13 9PL, UK
School of Control Science and Engineering,Shandong University,Jinan 250061,China

Revised:2020-06-06 Online:2020-06-25 Published:2020-07-14
About author:Shiyu Jiao received his B.E.degree in communication engineering from Henan University in 2017, and his M.S degree in communication engineering from the University of Manchester,respectively.He is currently working towards his Ph.D. degree in electrical and electronic at the School of Electrical and Electronic Engineering, the University of Manchester, Manchester,UK.His currently research interests include 5G and beyond wireless networks,NOMA,UAV,IRS,optimization and machine learning.|Fang Fang received her B.A.Sc.and M.A.Sc.degrees in electronic engineering from Lanzhou University in 2010 and 2013,respectively,and her Ph.D.degree in electrical engineering from the University of British Columbia(UBC),Kelowna,BC,Canada,in 2018.She is currently a research associate with the Department of Electrical and Electronic Engineering, the University of Manchester,UK.Her current research interests include 5G and beyond wireless networks, NOMA, IRS and mobile edge computing.She has served as a TPC member for IEEE conferences, e.g, GLOBECOM and ICC.She received the Exemplary Reviewer Certificate of IEEE Transactions on Communications in 2017. She is currently an associate editor of IEEE Open Journal of the Communications Society.|Xiaotian Zhou[corresponding author]received his B.E.degree in electronic information engineering and his Ph.D. degree in communication and information systems from Shandong University, China, in 2007 and 2013, respectively. He is currently an associate professor with the School of Control Science and Engineering, Shandong University. His research interests include 5G/B5G wireless communication networks,non-orthogonal multiple access(NOMA),massive multiple-input multiple-output (MIMO), and mobile edge computing (MEC).He is currently an associate editor of IET Communications.|Haixia Zhang received her B.E. degree from Guilin University of Electronic Technology,China,in 2001, and her M.Eng. and Ph.D.degrees in communication and information systems from Shandong University, China,in 2004 and 2008,respectively. From 2006 to 2008,she was an academic assistant with the Institute for Circuit and Signal Processing,Munich University of Technology. From 2016 to 2017, she was a visiting professor with the University of Florida,USA.She is currently a full professor with Shandong University. Her current research interests include cooperative(relay)communications,resource management, space time process techniques,mobile edge computing and smart communication technologies. She has been actively participating in many academic events,serving as TPC members,session chairs,and giving invited talks for conferences. She is an associate editor for International Journal of Communication Systems and IEEE Wireless Communications Letters.
Supported by:
National Natural Science Foundation of China(61971270);National Natural Science Foundation of China(61860206005);Shandong Provincial Natural Science Foundation(ZR2019QF016)

摘要/Abstract

摘要：

本文研究了一种基于智能反射表面（Intelligent Reflecting Surface，IRS）与无人机（Unmanned Aerial Vehicles，UAV）的多输入单输出非正交多址（Nonorthogonal Multiple Access，NOMA）下行传输网络的简单设计。论文研究的目的是在给定UAV最优水平位置、以及保证弱用户数据速率需求的前提下，最大化强用户的数据传输速率。论文首先对挂载IRS的UAV位置进行了优化，进而提出了一种迭代算法以交替优化IRS的发射波束与相移参数。针对波束成形优化，论文推导获得了最优波束成形矢量的闭式表达。以此为基础，设计提出了两种获得IRS最优相移的方法，即基于半定松弛的迭代算法与基于连续凸逼近技术的算法。其中前者可以提供高数据速率，后者具有较低复杂度。仿真结果表明，论文所提两类算法的性能皆明显优于随机相移方案，以及IRS-UAV正交分频多址方案。

Abstract:

Abstract—This paper investigates a simple design of intelligent reflecting surface (IRS) based unmanned aerial vehicles(UAV)assisted multiple-input single-output nonorthogonal multiple access (NOMA) downlink network.The aim of this paper is to maximize the rate of the strong user while guaranteeing the target rate of the weak user given by the optimized UAV horizontal position.We first optimize the location of IRS-UAV.Then we propose an iterative algorithm to optimize the transmit beamforming and phase shift of IRS alternatively.For the beamforming optimization, the closed-form expressions of the optimal beamforming vectors are derived.Then, given by the obtained beamforming, we propose two methods to obtain the optimal phase shifting of IRS.One is the semidefinite relaxation based iteration algorithm which provides high data rate and the other one is based on successive convex approximation technique which has low complexity.Finally, simulation results are provided to show that the performance of the two proposed algorithms are significantly better than using random phase shifting scenario and IRS based UAV-assisted orthogonal frequency-division multiple access scheme.

IRS辅助的NOMA下行UAV网络中的联合波束成形和相移设计

Key words: UAV, IRS, beamforming, NOMA

IRS辅助的NOMA下行UAV网络中的联合波束成形和相移设计 [J]. 通信与信息网络学报, doi: 10.23919/JCIN.2020.9130430.

Shiyu Jiao, Fang Fang, Xiaotian Zhou, Haixia Zhang. Joint Beamforming and Phase Shift Design in Downlink UAV Networks with IRS-Assisted NOMA [J]. Journal of Communications and Information Networks, doi: 10.23919/JCIN.2020.9130430.

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参考文献 24

[1]	SAAD W , BENNIS M , CHEN M . A vision of 6G wireless systems:Applications,trends,technologies,and open research problems[J]. IEEE Network, 2019.
[2]	DAVID K , BERNDT H . 6G vision and requirements:Is there any need for beyond 5G?[J]. IEEE Vehicular Technology Magazine, 2018,13(3): 72-80.
[3]	ZHANG J , BJORNSON E , MATTHAIOU M ,et al. Prospective multiple antenna technologies for beyond 5G[J]. arXiv:1910.00092, 2019.
[4]	SOUSA DE SENA A , NARDELLI P . What role do intelligent reflecting surfaces play in non-orthogonal multiple access?[J]. TechRxiv, 2020.
[5]	BASAR E , DI RENZO M , DE ROSNY J ,et al. Wireless communications through reconfigurable intelligent surfaces[J]. IEEE Access, 2019,7: 116753-116773.
[6]	MU X , LIU Y , GUO L ,et al. Exploiting intelligent reflecting surfaces in multi-antenna aided NOMA systems[J]. arXiv:1910.13636, 2019.
[7]	MERWADAY A , GUVENC I . UAV assisted heterogeneous networks for public safety communications[C]// 2015 IEEE Wireless Communications and Networking Conference Workshops(WCNCW). Piscataway:IEEE Press, 2015: 329-334.
[8]	ZENG Y , ZHANG R , LIM T J . Wireless communications with unmanned aerial vehicles:Opportunities and challenges[J]. IEEE Communications Magazine, 2016,54(5): 36-42.
[9]	ZHANG C , ZHANG W , WANG W ,et al. Research challenges and opportunities of uav millimeter-wave communications[J]. IEEE Wireless Communications, 2019,26(1): 58-62.
[10]	LU H , ZENG Y , JIN S ,et al. Enabling panoramic full-angle reflection via aerial intelligent reflecting surface[J]. arXiv:2001.07339, 2020.
[11]	LI S , DUO B , YUAN X ,et al. Reconfigurable intelligent surface assisted UAV communication:Joint trajectory design and passive beamforming[J]. IEEE Wireless Communications Letters, 2020,9(5): 716-720.
[12]	LIU Y , QIN Z , ELKASHLAN M ,et al. Non-orthogonal multiple access for 5G and beyond[J]. arXiv:1808.00277, 2018.
[13]	CAI Y , QIN Z , CUI F ,et al. Modulation and multiple access for 5G networks[J]. IEEE Communications Surveys＆Tutorials, 2017,20(1): 629-646.
[14]	DING Z , SCHOBER R , POOR H V . A general MIMO framework for NOMA downlink and uplink transmission based on signal alignment[J]. IEEE Transactions on Wireless Communications, 2016,15(6): 4438-4454.
[15]	DING Z , LIU Y , CHOI J ,et al. Application of non-orthogonal multiple access in LTE and 5G networks[J]. IEEE Communications Magazine, 2017,55(2): 185-191.
[16]	DING Z , PENG M , POOR H V . Cooperative non-orthogonal multiple access in 5G systems[J]. IEEE Communications Letters, 2015,19(8): 1462-1465.
[17]	LIU Y , XING H , PAN C ,et al. Multiple-antenna-assisted nonorthogonal multiple access[J]. IEEE Wireless Communications, 2018,25(2): 17-23.
[18]	ZHU J , WANG J , HUANG Y ,et al. On optimal beamforming design for downlink MISO NOMA systems[J]. IEEE Transactions on Vehicular Technology, 2020,69(3): 3008-3020.
[19]	ZHU J , HUANG Y , WANG J ,et al. Power efficient IRS-Assisted NOMA[J]. arXiv:1912.1176, 2019.
[20]	YANG G , XU X , LIANG Y C . Intelligent reflecting surface assisted non-orthogonal multiple access[J]. arXiv:1907.03133, 2019.
[21]	MU X , LIU Y , GUO L ,et al. Exploiting intelligent reflecting surfaces in multi-antenna aided NOMA systems[J]. arXiv:1910.13636, 2019.
[22]	LUO Z Q , MA W K , SO A M C ,et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Signal Processing Magazine, 2010,27(3): 20-34.
[23]	BOYD S , VANDENBERGHE L . Convex optimization[M]. Cambridge: Cambridge University Press, 2004.
[24]	ZHANG J , DAI L , HE Z ,et al. Performance analysis of Mixed-ADC Massive MIMO systems over Rician fading channels[J]. IEEE Journal on Selected Areas in Communications, 2017,35(6): 1327-1338.

IRS辅助的NOMA下行UAV网络中的联合波束成形和相移设计

Joint Beamforming and Phase Shift Design in Downlink UAV Networks with IRS-Assisted NOMA

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