Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications

Huaicong Kong; Min Lin; Jian Zhang; Jian Ouyang; Wei-Ping Zhu; Mohamed-Slim Alouini

doi:10.1109/jiot.2022.3170429

Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications

Huaicong Kong, Min Lin, Jian Zhang, Jian Ouyang, Wei-Ping Zhu, Mohamed-Slim Alouini

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

Satellite and unmanned aerial vehicles (UAV) integrated networks (SUINs) are considered as a promising method to offer various internet of remote things (IoRT) applications. In this paper, we investigate the downlink transmission of SUINs where the satellite to UAV link uses free-space optical (FSO) technology with equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with space division multiple access (SDMA) technique. Specifically, considering that only statistical channel state information (CSI) is available, we first formulate an optimization problem to maximize the ergodic sum rate (ESR) of the system, which is constrained by total transmit power budget and IoRT devices’ rate requirements. Then, a beamforming (BF) scheme based on alternating direction method of multipliers (ADMM) is proposed to solve the non-convex problem. Furthermore, a zero-forcing (ZF) based suboptimal approach is also presented to reduce the implementation complexity. Finally, by assuming that the FSO link and RF links are subject to Gamma-Gamma fading and Nakagami-m fading, respectively, we derive closed-form ESR expressions for the considered network with the proposed BF schemes. Simulation results are provided to confirm the accuracy of theoretical analysis. Moreover, it is revealed that our proposed EGC scheme for FSO communication and BF schemes for RF transmission can both achieve better performance than the existing works.

Original language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	IEEE Internet of Things Journal
DOIs	https://doi.org/10.1109/jiot.2022.3170429
State	Published - May 2 2022

ASJC Scopus subject areas

Signal Processing
Information Systems
Information Systems and Management
Computer Science Applications
Hardware and Architecture
Computer Networks and Communications

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10.1109/jiot.2022.3170429

https://repository.kaust.edu.sa/bitstream/10754/676692/1/Beamforming_Design_and_Performance_Analysis_for_Satellite_and_UAV_Integrated_Networks_in_IoRT_Applications.pdf

Cite this

@article{519e851aacb94d3894d6b334a7ee22c6,

title = "Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications",

abstract = "Satellite and unmanned aerial vehicles (UAV) integrated networks (SUINs) are considered as a promising method to offer various internet of remote things (IoRT) applications. In this paper, we investigate the downlink transmission of SUINs where the satellite to UAV link uses free-space optical (FSO) technology with equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with space division multiple access (SDMA) technique. Specifically, considering that only statistical channel state information (CSI) is available, we first formulate an optimization problem to maximize the ergodic sum rate (ESR) of the system, which is constrained by total transmit power budget and IoRT devices{\textquoteright} rate requirements. Then, a beamforming (BF) scheme based on alternating direction method of multipliers (ADMM) is proposed to solve the non-convex problem. Furthermore, a zero-forcing (ZF) based suboptimal approach is also presented to reduce the implementation complexity. Finally, by assuming that the FSO link and RF links are subject to Gamma-Gamma fading and Nakagami-m fading, respectively, we derive closed-form ESR expressions for the considered network with the proposed BF schemes. Simulation results are provided to confirm the accuracy of theoretical analysis. Moreover, it is revealed that our proposed EGC scheme for FSO communication and BF schemes for RF transmission can both achieve better performance than the existing works.",

author = "Huaicong Kong and Min Lin and Jian Zhang and Jian Ouyang and Wei-Ping Zhu and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2022-05-10 Acknowledgements: Supported by the Key International Cooperation Research Project under Grant 61720106003",

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doi = "10.1109/jiot.2022.3170429",

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T1 - Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications

AU - Kong, Huaicong

AU - Lin, Min

AU - Zhang, Jian

AU - Ouyang, Jian

AU - Zhu, Wei-Ping

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2022-05-10 Acknowledgements: Supported by the Key International Cooperation Research Project under Grant 61720106003

PY - 2022/5/2

Y1 - 2022/5/2

N2 - Satellite and unmanned aerial vehicles (UAV) integrated networks (SUINs) are considered as a promising method to offer various internet of remote things (IoRT) applications. In this paper, we investigate the downlink transmission of SUINs where the satellite to UAV link uses free-space optical (FSO) technology with equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with space division multiple access (SDMA) technique. Specifically, considering that only statistical channel state information (CSI) is available, we first formulate an optimization problem to maximize the ergodic sum rate (ESR) of the system, which is constrained by total transmit power budget and IoRT devices’ rate requirements. Then, a beamforming (BF) scheme based on alternating direction method of multipliers (ADMM) is proposed to solve the non-convex problem. Furthermore, a zero-forcing (ZF) based suboptimal approach is also presented to reduce the implementation complexity. Finally, by assuming that the FSO link and RF links are subject to Gamma-Gamma fading and Nakagami-m fading, respectively, we derive closed-form ESR expressions for the considered network with the proposed BF schemes. Simulation results are provided to confirm the accuracy of theoretical analysis. Moreover, it is revealed that our proposed EGC scheme for FSO communication and BF schemes for RF transmission can both achieve better performance than the existing works.

AB - Satellite and unmanned aerial vehicles (UAV) integrated networks (SUINs) are considered as a promising method to offer various internet of remote things (IoRT) applications. In this paper, we investigate the downlink transmission of SUINs where the satellite to UAV link uses free-space optical (FSO) technology with equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with space division multiple access (SDMA) technique. Specifically, considering that only statistical channel state information (CSI) is available, we first formulate an optimization problem to maximize the ergodic sum rate (ESR) of the system, which is constrained by total transmit power budget and IoRT devices’ rate requirements. Then, a beamforming (BF) scheme based on alternating direction method of multipliers (ADMM) is proposed to solve the non-convex problem. Furthermore, a zero-forcing (ZF) based suboptimal approach is also presented to reduce the implementation complexity. Finally, by assuming that the FSO link and RF links are subject to Gamma-Gamma fading and Nakagami-m fading, respectively, we derive closed-form ESR expressions for the considered network with the proposed BF schemes. Simulation results are provided to confirm the accuracy of theoretical analysis. Moreover, it is revealed that our proposed EGC scheme for FSO communication and BF schemes for RF transmission can both achieve better performance than the existing works.

UR - http://hdl.handle.net/10754/676692

UR - https://ieeexplore.ieee.org/document/9766223/

U2 - 10.1109/jiot.2022.3170429

DO - 10.1109/jiot.2022.3170429

M3 - Article

SN - 2327-4662

SP - 1

EP - 1

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

ER -

Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications

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