3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications

Zhang, Chen; Zhang, Leyi; Zhu, Lipeng; Zhang, Tao; Xiao, Zhenyu; Xia, Xiang-Gen

doi:10.1109/tcomm.2021.3049387

Cited by 120 publications

(65 citation statements)

References 55 publications

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“…Finally, the 3D location of the UAV is derived. [22] jointly optimized 3D placement of UAV, user association, and frequency allocation attempt to increase coverage rate and the number of required UAVs under the QoS and UAV's serviceability constraints. The problem is formulated as a mixed-integer problem and it is solved in three steps.…”

Section: Mobile Dbssmentioning

confidence: 99%

Joint position and trajectory optimization of flying base station in 5G cellular networks, based on users' current and predicted location

Sookhak¹,

Mohajerzadeh²

2022

Preprint

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Nowadays, Unmanned Aerial Vehicles (UAVs) have been significantly improved, and one of their most important applications is to provide temporary coverage for cellular users. Static Base Station cannot service all users due to temporary crashes because of temporary events such as ground BS breakdowns, bad weather conditions, natural disasters, transmission errors, etc., drones equipped with small cellular BS. The Drone Base Station is immediately sent to the target location and establishes the necessary communication links without requiring any predetermined infrastructure and covers that area. Finding the optimal location and the appropriate number (DBS) of drone-BS in this area is a challenge. Therefore, in this paper, the optimal location and optimal number of DBSs are distributed in the current state of the users and the subsequent user states determined by the prediction. Finally, the DBS transition is optimized from the current state to the predicted future locations. The simulation results show that the proposed method can provide acceptable coverage on the network.

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Section: Mobile Dbssmentioning

confidence: 99%

Joint position and trajectory optimization of flying base station in 5G cellular networks, based on users' current and predicted location

Sookhak¹,

Mohajerzadeh²

2022

Preprint

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“…According to constraint (6f) and its equivalent formulas, the UAV is restricted in a region without any building blockage, to establish LoS channels for the BS-UAV and UAV-UE links. Therefore, parameters α 1 and β 1 are adopted for solving problem (16).…”

Section: A Power Allocationmentioning

confidence: 99%

“…A UAV-enabled energy-efficient Internet of Things (IoT) communication system was considered in [14], where 3-D placement and resource allocation of multiple UAVmounted BSs were optimized to minimize the transmit power of IoT devices. In [16], 3-D positions of UAVs, UE clustering, and frequency band allocation were optimized to improve the coverage rate as well as to minimize the number of required UAVs for a multiple UAV-BSs assisted communication system.…”

Section: Introductionmentioning

confidence: 99%

Joint 3-D Positioning and Power Allocation for UAV Relay Aided by Geographic Information

Yi¹,

Zhu²,

Zhu³

et al. 2021

Preprint

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<div>In this paper, we study to employ geographic information to address the blockage problem of air-to-ground links between UAV and terrestrial nodes. In particular, a UAV relay is deployed to establish communication links from a ground base station to multiple ground users. To improve communication capacity, we fifirst model the blockage effect caused by buildings according to the three-dimensional (3-D) geographic information. Then, an optimization problem is formulated to maximize the minimum capacity among users by jointly optimizing the 3-D position and power allocation of the UAV relay, under the constraints of link capacity, maximum transmit power, and blockage. To solve this complex non-convex problem, a two-loop optimization framework is developed based on Lagrangian relaxation. The outer-loop aims to obtain proper Lagrangian multipliers to ensure the solution of the Lagrangian problem converge to the tightest upper bound on the original problem. The inner-loop solves the Lagrangian problem by applying the block coordinate descent (BCD) and successive convex approximation (SCA) techniques, where UAV 3-D positioning and power allocation are alternately optimized in each iteration. Simulation results confifirm that the proposed solution signifificantly outperforms two benchmark schemes and achieves a performance close to the upper bound on the UAV relay system.</div>

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“…These are not highly used in the UAV category, as the disadvantages outweigh the advantages. Simple configurations are available that are easy to manufacture and more suited for the required applications [ 13 ]. The flying wing configuration is the configuration with no definite fuselage.…”

Section: Introductionmentioning

confidence: 99%

Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles

Jha

Prakash

Rathore

et al. 2022

Sensors

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Recent years have witnessed rapid development and great indignation burgeoning in the unmanned aerial vehicles (UAV) field. This growth of UAV-related research contributes to several challenges, including inter-communication from vehicle to vehicle, transportation coverage, network information gathering, network interworking effectiveness, etc. Due to ease of usage, UAVs have found novel applications in various areas such as agriculture, defence, security, medicine, and observation for traffic-monitoring applications. This paper presents an innovative drone system by designing and developing a blended-wing-body (BWB)-based configuration for next-generation drone use cases. The proposed method has several benefits, including a very low interference drag, evenly distributed load inside the body, and less radar signature compared to the state-of-the-art configurations. During the entire procedure, a standard design approach was followed to optimise the BWB framework for next-generation use cases by considering the typically associated parameters such as vertical take-off and landing and drag and stability of the BWB. Extensive simulation experiments were performed to carry out a performance analysis of the proposed model in a software-based environment. To further confirm that the model design of the BWB-UAV is fit to execute the targeted missions, the real-time working environments were tested through advanced numerical simulation and focused on avoiding cost and unwanted wastages. To enhance the trustworthiness of this said computational fluid dynamics (CFD) analysis, grid convergence test-based validation was also conducted. Two different grid convergence tests were conducted on the induced velocity of the Version I UAV and equivalent stress of the Version II UAV. Finite element analysis-based computations were involved in estimating structural outcomes. Finally, the mesh quality was obtained as 0.984 out of 1. The proposed model is very cost-effective for performing a different kind of manoeuvring activities with the help of its unique design at reasonable mobility speed and hence can be modelled for high-speed-based complex next-generation use cases.

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3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications

Cited by 120 publications

References 55 publications

Joint position and trajectory optimization of flying base station in 5G cellular networks, based on users' current and predicted location

Joint position and trajectory optimization of flying base station in 5G cellular networks, based on users' current and predicted location

Joint 3-D Positioning and Power Allocation for UAV Relay Aided by Geographic Information

Quality-of-Service-Centric Design and Analysis of Unmanned Aerial Vehicles

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