Altitude and number optimisation for UAV‐enabled wireless communications

Zhang, Jun; Zhang, Ting; Zheng, Yang; Li, Bin; Wu, Yi

doi:10.1049/iet-com.2019.0810

Cited by 16 publications

(7 citation statements)

References 21 publications

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“…In the previous research on UAV ground station installation, however, drone UTs are not recognized. In work in [ 14 ], the cell assembly in the UAV-supported grounded communication protocol was also delayed-optimized.…”

Section: Related Work On 5g and Beyond Network For Iomt Applicationsmentioning

confidence: 99%

RETRACTED ARTICLE: Positioning of UAV Base Stations Using 5G and Beyond Networks for IoMT Applications

Ghazal

2021

Arab J Sci Eng

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5G and Beyond 5G networks (B5G) face the greatest obstacle to ensure accessibility with all categories of users. A significant part of the emerging wireless networks will greatly facilitate connectivity, and cooperation in high-speed communications from Unmanned Aviation Vehicles (UAVs) is expected. UAV has excellent features such as versatile delivery, simple line of sight (LOS) connecting, gradual independence and connectivity architecture speeds, and fixed framework communication systems. Given that many UAVs can achieve specific coverage for surface user terminals (UTs), one problem is how they can be implemented optimally. According to critical constraints, the implementation task was shaped as minimization, including the numbers of UAVs and the optimization of their network load: UAV should form a secure network structure and sustain links with the specified base stations (BSs). The challenge has been split into subtasks to address this problem of optimization with a core framework. The Unified Greedy Quest Algorithm for the Internet of Medical Things (UGQA-IoMT) algorithm is used for telemedicine applications and achieves a minimum number of UAVs and optimal places. The algorithm proposed refers to various scenarios in which UAVs are installed by themselves or with the set BSs, irrespective of the UT deployment. The performance gains in mean SNR of −3 dB, network load stability ratio of 99.89%, and coverage ratio of 97.5% are validated in coherent simulations of the proposed methodology for the real-time implementation.

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Section: Related Work On 5g and Beyond Network For Iomt Applicationsmentioning

confidence: 99%

RETRACTED ARTICLE: Positioning of UAV Base Stations Using 5G and Beyond Networks for IoMT Applications

Ghazal

2021

Arab J Sci Eng

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“…FDMA allocates several frequency bands to users, and each user has its own communication channel. The achievable user rate is expressed below, where B is the allocated bandwidth per user, Pu is the power transmitted by the UAV-BS, N 0 is the power, and G is the gain of the directional antenna [27].…”

Section: Network Assumptionsmentioning

confidence: 99%

Energy-Efficient Resource Allocation in Aerial Base Stations

Silva,

Torres,

Cardoso

2023

Electronics

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Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for telecommunications. They prove useful in situations where the network is overloaded or unavailable due to natural disasters or maintenance work. UAV-BSs grant access to user/IoTs sensors on the ground, but their electromagnetic signals may suffer losses because of their dynamic capacity to provide access at different altitudes. These losses lead to transmission impairments, such as attenuation, fading, and distortion. To overcome these issues and improve signal quality, the UAV-BS position must be optimized. However, finding the optimal placement is a challenge, and a wide range of strategies employing different approaches have been adopted. In this study, we proposed a 3D positioning strategy for UAV-BSs that serves the maximum number of users with the smallest number of UAV-BSs. Results showed that the proposed heuristic could find the best position and altitude for the UAV-BSs, provide network access for mobile user/IoTs (Internet of things) sensors, maximize the number of devices connected to the UAV-BSs, and guarantee a minimum throughput for users. The proposed heuristic not only performs well in terms of coverage and performance, but is also more energy-efficient than other algorithms found in the literature.

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“…However, the above existing works assume that the UAV flies at a fixed altitude without considering the optimization of the flying altitude. The work in [ 25 ] mainly focused on optimizing flying altitude and the number of UAVs to minimize a total power consumption. The altitude optimization problem of UAV based ad-hoc network was considered through minimizing the average network outage probability in [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System

Huang

Zhang

2022

Sensors

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Unmanned aerial vehicles (UAVs) are widely used in wireless communication systems due to their flexible mobility and high maneuverability. The combination of UAVs and mobile edge computing (MEC) is regarded as a promising technology to provide high-quality computing services for latency-sensitive applications. In this paper, a novel UAV-assisted MEC uplink maritime communication system is proposed, where an MEC server is equipped on UAV to provide flexible assistance to maritime user. In particular, the task of user can be divided into two parts: one portion is offloaded to UAV and the remaining portion is offloaded to onshore base station for computing. We formulate an optimization problem to minimize the total system latency by designing the optimal flying altitude of UAV and the optimal task allocation ratio. We derive a semi closed-form expression of the optimal flying altitude of UAV and a closed-form expression of the optimal task allocation ratio. Simulation results demonstrate the precision of the theoretical analyses and show some interesting insights.

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Altitude and number optimisation for UAV‐enabled wireless communications

Cited by 16 publications

References 21 publications

RETRACTED ARTICLE: Positioning of UAV Base Stations Using 5G and Beyond Networks for IoMT Applications

RETRACTED ARTICLE: Positioning of UAV Base Stations Using 5G and Beyond Networks for IoMT Applications

Energy-Efficient Resource Allocation in Aerial Base Stations

Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System

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