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

Satellite and unmanned aerial vehicle (UAV) integrated networks (SUINs) are considered as a promising method to offer various Internet of Remote Things (IoRT) applications. In this article, we investigate the downlink transmission of SUINs where the satellite-to-UAV link uses the free-space optical...

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Published inIEEE internet of things journal Vol. 9; no. 16; pp. 14965 - 14977
Main Authors Kong, Huaicong, Lin, Min, Zhang, Jian, Ouyang, Jian, Zhu, Wei-Ping, Alouini, Mohamed-Slim
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 15.08.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Alternating direction method of multipliers (ADMMs)
Autonomous aerial vehicles
Beamforming
ergodic sum rate (ESR)
Fading
Internet of Remote Things (IoRT)
Internet of Things
Optimization
Protocols
Radio frequency
satellite and unmanned aerial vehicle-integrated networks (SUINs)
Satellite broadcasting
Satellites
Smart devices
space-division multiple access (SDMA)
statistical channel state information (CSI)
Unmanned aerial vehicles
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Abstract Satellite and unmanned aerial vehicle (UAV) integrated networks (SUINs) are considered as a promising method to offer various Internet of Remote Things (IoRT) applications. In this article, we investigate the downlink transmission of SUINs where the satellite-to-UAV link uses the free-space optical (FSO) technology with an equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with the 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 the total transmit power budget and IoRT devices' rate requirements. Then, a beamforming (BF) scheme based on the alternating direction method of multipliers (ADMM) is proposed to solve the nonconvex 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-<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> 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 the 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.
AbstractList Satellite and unmanned aerial vehicle (UAV) integrated networks (SUINs) are considered as a promising method to offer various Internet of Remote Things (IoRT) applications. In this article, we investigate the downlink transmission of SUINs where the satellite-to-UAV link uses the free-space optical (FSO) technology with an equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with the 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 the total transmit power budget and IoRT devices’ rate requirements. Then, a beamforming (BF) scheme based on the alternating direction method of multipliers (ADMM) is proposed to solve the nonconvex 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-[Formula Omitted] 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 the 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.
Satellite and unmanned aerial vehicle (UAV) integrated networks (SUINs) are considered as a promising method to offer various Internet of Remote Things (IoRT) applications. In this article, we investigate the downlink transmission of SUINs where the satellite-to-UAV link uses the free-space optical (FSO) technology with an equal gain combining (EGC) scheme while the links from UAV to IoRT devices exploit radio frequency (RF) with the 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 the total transmit power budget and IoRT devices' rate requirements. Then, a beamforming (BF) scheme based on the alternating direction method of multipliers (ADMM) is proposed to solve the nonconvex 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-<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> 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 the 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 Zhu, Wei-Ping
Alouini, Mohamed-Slim
Kong, Huaicong
Lin, Min
Zhang, Jian
Ouyang, Jian
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Snippet Satellite and unmanned aerial vehicle (UAV) integrated networks (SUINs) are considered as a promising method to offer various Internet of Remote Things (IoRT)...
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SubjectTerms Alternating direction method of multipliers (ADMMs)
Autonomous aerial vehicles
Beamforming
ergodic sum rate (ESR)
Fading
Internet of Remote Things (IoRT)
Internet of Things
Optimization
Protocols
Radio frequency
satellite and unmanned aerial vehicle-integrated networks (SUINs)
Satellite broadcasting
Satellites
Smart devices
space-division multiple access (SDMA)
statistical channel state information (CSI)
Unmanned aerial vehicles
Title Beamforming Design and Performance Analysis for Satellite and UAV Integrated Networks in IoRT Applications
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