Joint UAV Access and GEO Satellite Backhaul in IoRT Networks: Performance Analysis and Optimization

Zhu, Yan; Bai, Weigang; Sheng, Min; Li, Jiandong; Zhou, Di; Han, Zhu

doi:10.1109/jiot.2020.3038691

Cited by 29 publications

(14 citation statements)

References 45 publications

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“…This work mainly focused on a smart city IoT scenario that is different from the considered SUIN for IoRT cases in our work, where the channel capacity and large connectivity of IoRT networks can be improved significantly relying on such integrated networks. Similar research topics on SUIN have been widely investigated in [5], [14], where the satellite-to-UAV transmission is via a RF link. Recently, FSO communication has been regarded as an attractive candidate to RF with the exponentially increasing growth of smart devices [15], [27].…”

Section: A Related Work and Motivationmentioning

confidence: 96%

“…1, we consider the downlink transmission of a satellite and UAV integrated network for IoRT applications, which consists of a GEO satellite, a rotary-wing UAV hovering in the sky 1 and many IoRT devices on the ground. Unlike most of the existing works [5], [14], it is assumed here that FSO technology is adopted over satelliteto-UAV link to take the advantages of its unlicensed spectrum resource, being free from interference and high security, while RF communication is employed over UAV-to-device links with UAV having multi-antenna and conducting SDMA to improve the spectrum efficiency. In addition, the UAV is equipped with M receive apertures for collecting the received optical signal from the satellite and N-element uniform linear array (ULA) to implement BF so that K (K N) single-antenna IoRT devices on the ground can be served simultaneously.…”

Section: A System Modelmentioning

confidence: 99%

“…The novel architecture referred to as satellite and UAV integrated networks (SUIN) can break through the limitations of terrestrial cellular networks in terms of coverage area and network capacity. In particular, it can provide high data rate and reliable wireless communications in remote areas, as widely studied in many existing works such as [5], [14].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, in SUIN for IoRT, satellite can provide UAVs with backbone connection to the internet through radio frequency (RF) link and has been well studied in under way projects, such as the Inmarsat and the Thuraya [14]. However, since the RF spectrum is more and more scarce, free-space optical (FSO) communication has emerged as an attractive complementary technology to RF with the explosive growth of smart devices and data traffic [15].…”

Section: Introductionmentioning

confidence: 99%

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

Kong

Lin

Zhang

et al. 2022

IEEE Internet Things J.

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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.Index Terms-Satellite and UAV integrated networks, internet of remote things, statistical channel state information, ergodic sum rate, space division multiple access, alternating direction method of multipliers.

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Section: A Related Work and Motivationmentioning

confidence: 96%

Section: A System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Kong

Lin

Zhang

et al. 2022

IEEE Internet Things J.

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“…Unfortunately, it is difficult to support massive access for the satellite network as a result of the limited transmission rate and large latency. Thus, the integration of the satellite network and unmanned aerial vehicles (UAVs) communication is regarded as an effective solution for the wide-area coverage with massive access [7], [8]. Indeed, flexible deployment and strong mobility are the advantages of the UAVs, which are suitable for the sparsely and unevenly distributed of the devices in wide areas.…”

Section: Introductionmentioning

confidence: 99%

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Wang

2023

IEEE Access

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Massive access outside the coverage of terrestrial cellular networks will be the main feature of the sixth generation (6G) networks. In order to cope with it, the cognitive satellite-UAV network (CSUN) has drawn a lot of attentions. In this paper, we investigate the UAV trajectory optimization and power allocation for the cell-free CSUN consisting of one satellite and a swarm of UAVs. Indeed, due to the on-board energy constraints of UAVs, both the trajectory optimization and the power allocation can significantly save the energy to improve the energy efficiency. The joint trajectory optimization and power allocation problem is formulated as a mixed-integer non-convex optimization problem which is extremely difficult to solve. In order to reduce the computational complexity, we decompose the original optimization problem into two subproblems in terms of the trajectory optimization and power allocation. For the trajectory optimization subproblem, we model it as a Traveling Salesman Problem (TSP), and the PSO is adopted to solve it. When the trajectory variables are fixed, the power allocation subproblem is still difficult to tackle due to its nonconvexity and large scale. Firstly, we present a kind of centralized algorithm in which the DC (difference of two convex functions) algorithm is applied to optimize it, and then a distributed algorithm based on auxiliary variables is proposed to reduce the signaling overhead and computational complexity. The simulation results demonstrate the effectiveness of the proposed joint trajectory optimization and power allocation algorithm for the cell-free CSUN.INDEX TERMS Cell-free, satellite-UAV network, power allocation, NOMA.

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Airborne Network Security

Liu

Bai

Jiang

et al. 2023

Space-Air-Ground Integrated Network Security

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Joint UAV Access and GEO Satellite Backhaul in IoRT Networks: Performance Analysis and Optimization

Cited by 29 publications

References 45 publications

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

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

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Airborne Network Security

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