Joint UAV Deployment and Power Allocation for Secure Space-Air-Ground Communications

Han, Chao; Bai, Lin; Bai, Tong; Choi, Jinho

doi:10.1109/tcomm.2022.3203471

Cited by 18 publications

(12 citation statements)

References 59 publications

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“…Due to the special form of logarithmic subtraction in the secrecy rate, the optimization problems of secure beamforming are usually neither convex nor concave in many situations [136]. Most recently, the authors in [137] considered the uplink of the full-duplex UAV-aided three-layer space-air-ground communications networks, comprising of terrestrial IoT terminals, a UAV, and an LEO satellite, where eavesdroppers are intercepting the information transmitted. To ensure a secure uplink transmission, a joint UAV deployment and power allocation scheme were developed for maximizing the secrecy rate, subject to the following constraints: 1) UAV's power, 2) the UAV deployment area, and 3) the secrecy rate, which are imposed on the different layers.…”

Section: • Joint Secure Communication and Control Designmentioning

confidence: 99%

Self-Evolving Integrated Vertical Heterogeneous Networks

Farajzadeh

Khoshkholgh²,

Yanıkömeroğlu

et al. 2023

IEEE Open J. Commun. Soc.

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Section: • Joint Secure Communication and Control Designmentioning

confidence: 99%

Self-Evolving Integrated Vertical Heterogeneous Networks

Farajzadeh

Khoshkholgh²,

Yanıkömeroğlu

et al. 2023

IEEE Open J. Commun. Soc.

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“…We consider the same case in [32] that channel between ABS m and terminal n comprises of the path loss L ABS m,n and small-scale fading S ABS m,n , which obeys the quasi-static Rayleigh distribution. Thus, the channel gain between ABS m and terminal n is given by…”

Section: Abs Systemmentioning

confidence: 99%

“…A UAV deployment was proposed for overloaded situations [31]. Besides, the improvement in the secrecy rate was highlighted [32]. Overall, existing studies focused on ensuring communication performance.…”

Section: Introductionmentioning

confidence: 99%

Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Yao

Fan

et al. 2023

IET Communications

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In remote and inaccessible areas, the traffic request for Internet-of-Things (IoT) terminals is growing. This paper proposes a cognitive satellite-aerial network (CSAN) to provide sufficient access services. The proposed CSAN consists of the primary beam-hopping (BH) satellite and secondary aerial-based station (ABS) systems. Since the two systems share spectrums, co-channel interference (CCI) between the two systems is complicated, and the quality of service (QoS) is seriously degraded. To improve the QoS, the dynamic BH (DBH) pattern, ABS access in the time domain, and ABS power control in the power domain are studied. First, based on the sparsity of the DBH pattern, the greedy quick tracking (GAT) algorithm is proposed to design the DBH pattern quickly. Then, subject to the DBH pattern, a greedy access monitor (GAM) algorithm is determined for timely ABS access and power control. Since each ABS only serves terminals within a suitable distance, the placement and terminal cluster of multi-ABSs in the space domain are required to ensure full terminal coverage. Thus, the mutual selection K algorithm is proposed to save required ABS numbers and improve service fairness among terminal clusters. Simulation results demonstrate the efficacy of time-space-power allocation for enhanced IoT-terminal services in the proposed CSAN.

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“…Resource allocation [114], [115] UE offloading [116] Adaptive RF [117] Physical layer security [118] Integration with vehicular networks [119] Architecture for AI integration [120] General the mobile cells to the nearest eNB over the backhaul link, and to the neighboring mobile cells over the sidehaul link. The authors proposed algorithms to enable resource sharing between a mobile-cell, access link, sidehaul link and conventional cellular users taking into account interference caused by the wireless backhaul of mobile cells.…”

Section: Main Topicmentioning

confidence: 99%

“…Motivated by this, the authors proposed an adaptive transmission scheme where RF is used when freespace optical links are with poor channel state. The article [118] focused on physical layer security in SAGIN. The system model assumed that full duplex UAVs are capable of receiving information from internet of things (IoT) devices while transmitting artificial noise to the eavesdropping channel.…”

Section: ) Satellitementioning

confidence: 99%

Paving the Way Toward Mobile IAB: Problems, Solutions and Challenges

Monteiro

Lima

Moreira

et al. 2022

IEEE Open J. Commun. Soc.

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Deploying access and backhaul as wireless links, a.k.a. integrated access and backhaul (IAB), is envisioned as a viable approach to enable flexible and dense networks. Even further, mobile IAB (mIAB) is a candidate solution to enhance the connectivity of multiple user equipment (UE) moving together. In this context, different of other works from the literature, the present work overviews the basis for the deployment of mIAB by presenting: 1) the current status of IAB standardization in the fifth generation (5G) new radio (NR); 2) a new taxonomy for state-of-the-art works regarding fixed IAB and mIAB; 3) an extensive performance analysis of mIAB based on simulation results; and 4) open challenges and potential future prospects of mIAB. Specifically, the proposed taxonomy classifies IAB works according to different perspectives and categorizes mIAB works according to the type of mobile node. For each type of mobile node, the main studied topics are presented. Regarding the performance evaluation, we consider an urban macro scenario where mIAB nodes are deployed in buses in order to improve the passengers' connection. The results show that, compared to other network architectures, the deployment of mIAB nodes remarkably improves the passengers' throughput and latency in both downlink and uplink.

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Joint UAV Deployment and Power Allocation for Secure Space-Air-Ground Communications

Cited by 18 publications

References 59 publications

Self-Evolving Integrated Vertical Heterogeneous Networks

Self-Evolving Integrated Vertical Heterogeneous Networks

Time‐space‐power allocation for enhanced IoT‐terminal services in cognitive satellite‐aerial networks

Paving the Way Toward Mobile IAB: Problems, Solutions and Challenges

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