卫星网络和高空平台网络频谱共存下的分布式鲁棒波束成形算法

doi:10.11959/j.issn.1000-436x.2023211

通信学报 ›› 2023, Vol. 44 ›› Issue (12): 39-49.doi: 10.11959/j.issn.1000-436x.2023211

• 专题：空天地一体化网络频谱博弈关键技术 • 上一篇

卫星网络和高空平台网络频谱共存下的分布式鲁棒波束成形算法

王子宁¹, 林敏¹, 李菲¹, 韩略¹, 朱卫平²

¹ 南京邮电大学通信与信息工程学院，江苏南京 210003
² 康考迪亚大学电子与计算机学院，蒙特利尔 QC H3G 1M8

修回日期:2023-11-28 出版日期:2023-12-01 发布日期:2023-12-01
作者简介:王子宁（1997- ），男，江苏南京人，南京邮电大学博士生，主要研究方向为智能信号处理、凸优化
林敏（1972- ），男，浙江台州人，博士，南京邮电大学教授、博士生导师，主要研究方向为无线通信系统、智能信号处理、天线新技术等
李菲（1998- ），男，山西长治人，南京邮电大学硕士生，主要研究方向为无线通信系统、智能信号处理、智能反射面等
韩略（1992- ），男，江苏淮安人，南京邮电大学讲师，主要研究方向为空天地一体化、性能分析等
朱卫平（1962- ），男，江苏南通人，康考迪亚大学教授，主要研究方向为无线通信与信息处理等
基金资助:
重点国际合作基金资助项目(61720106003);南京邮电大学引进人才科研启动基金资助项目(NY220111);江苏省研究生科研与实践创新计划基金资助项目(KYCX22_0959)

Distributed robust beamforming algorithm for spectral coexistence in satellite and high altitude platform networks

Zining WANG¹, Min LIN¹, Fei LI¹, Lve HAN¹, Weiping ZHU²

¹ School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
² Department of Electrical and Computer Engineering, Concordia University, Montreal QC H3G 1M8, Canada

Revised:2023-11-28 Online:2023-12-01 Published:2023-12-01
Supported by:
The Key International Cooperation Research Project(61720106003);Talent Research Start-up Foundation of Nanjing University of Posts and Telecommunications(NY220111);The Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX22_0959)

摘要/Abstract

摘要：

面向由卫星网络和高空平台网络有机结合的星空融合网络，提出一种基于非完美信道状态信息的分布式鲁棒波束成形算法。首先，在卫星网络和高空平台网络分别采用多播技术和非正交多址技术服务多个用户的场景下，以最大化网络和速率为目标函数，并以满足各个用户速率需求为约束，建立卫星和高空平台发射功率受限为约束的优化问题。其次，在仅能获取用户非完美信道状态信息且仅能实现非完美连续干扰消除的情况下，采用S-procedure和连续凸逼近对非凸问题进行转化，并进一步提出基于拉格朗日对偶的分布式波束成形算法，以实现网络间的频谱共享。最后，计算机仿真表明所提分布式算法相比现有工作能以更低的信令开销获取更高的频谱效率。

关键词: 分布式波束成形, 非完美信道状态信息, 非正交多址, 非完美连续干扰消除

Abstract:

A distributed robust beamforming (BF) algorithm was proposed to improve spectrum efficiency for an integrated satellite and high altitude platform (HAP) network.Specifically, for the scenario where satellite network and HAP network adopted multicast and NOMA to serve their respective multiple users, an optimization problem was formulated to maximize the sum rate, subject to the rate requirements of both satellite and aerial terminals, and the transmit power budget of satellite and aerial platforms.Then, by considering both the imperfect channel state information (CSI) and the imperfect successive interference cancellation (SIC), S-procedure and sequential convex approximation were adopted to transform the nonconvex problem, and then a distributed BF algorithm using Lagrange duality was proposed to enable the spectral coexistence.Finally, simulation results demonstrate that the proposed algorithm can achieve a similar performance yet at a lower signaling overhead compared with the other existing works.

Key words: distributed beamforming, imperfect channel state information, non-orthogonal multiple access, imperfect successive interference cancellation

中图分类号:

TN92

王子宁, 林敏, 李菲, 韩略, 朱卫平. 卫星网络和高空平台网络频谱共存下的分布式鲁棒波束成形算法[J]. 通信学报, 2023, 44(12): 39-49.

Zining WANG, Min LIN, Fei LI, Lve HAN, Weiping ZHU. Distributed robust beamforming algorithm for spectral coexistence in satellite and high altitude platform networks[J]. Journal on Communications, 2023, 44(12): 39-49.

图/表 7

图1

表1

仿真参数设置"

参数	数值
卫星高度/km	600
高空平台高度/km	20
卫星天线数	4×4
高空平台天线数	4×4
频段/GHz	20
带宽/MHz	50
卫星最大发射增益/dB	48
高空平台最大发射增益/dB	52
天线阵元间距	$d_{1} = d_{2} = \frac{λ}{2}$
非直达径个数	5

表1

图2

图3

图4

图5

图6

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卫星网络和高空平台网络频谱共存下的分布式鲁棒波束成形算法

Distributed robust beamforming algorithm for spectral coexistence in satellite and high altitude platform networks

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