Maximum Channel Access Probability Based on Post-Disaster Ground Terminal Distribution Density

Hu, Xingxing; Li, Demin; Guo, Chang; Hu, Wei; Zhang, Lei; Zhai, Menglin

doi:10.1007/978-3-030-66046-8_14

Cited by 2 publications

(3 citation statements)

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“…This study found that the speed of the UAV varies depending on the location of the sensors, the amount of data required to be transmitted by them, and their energy usage. [34] and [35] used a system model similar to the one in [29] to solve the problem caused by the ground terminal (GT) distribution density. [34] worked on maximizing the number of GTs that satisfy the constraint for the minimum amount of transmitted data by optimizing…”

Section: Related Workmentioning

confidence: 99%

“…bandwidth allocation and speed. [35] set up a more realistic GT distribution model based on the Thomas cluster process and optimized the speed of the UAV to improve channel access probability. These studies show that speed control is an effective means of solving problems caused by the distribution density of terrestrial network nodes, but the issue of communication unfairness caused by the density of UEs on the ground remains unresolved.…”

Section: Related Workmentioning

confidence: 99%

“…The simulation parameters listed in Table 3 were set by referring to the configuration of 5G base stations [38]. The maximum speed of the UAV is set to the upper value at which the flying UAV can maintain a connection with ground-based UEs [35]. It is carried out on the distribution model for UEs shown in Fig.…”

Section: A Simulation Settingsmentioning

confidence: 99%

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Speed-Control Technique for Achieving Fair Uplink Communications With a UAV-Aided Flying Base Station

Mitsui

Nishiyama

2023

IEEE Access

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The use of aerial base stations on unmanned aerial vehicles (UAVs) is a notable solution for providing disaster victims with communication services because they can be quickly deployed immediately after a disaster. In this study, we investigate how a single circling UAV with an aerial base station can be used for collecting uplink information from users on the ground. In this system, users within the coverage area of an aerial base station share the available system bandwidth. Consequently, since a UAV's flying speed is constant, a fairness issue becomes significant among ground users distributed over the service area when their spatial density differs largely from place to place. To solve this fairness issue, we focus on a speed-control technique for the UAV. We begin by formulating the amount of transmitted data from each user equipment (UE) as a function of the communication time, during which the user is within the coverage of the aerial base station, and which depends on the speed of the UAV. The objective function can be defined as a maximization of the minimum amount of data transmitted by each UE. Then, we develop the proposed speed-control technique by analyzing the quantitative relationship between the UAV's flying speed and the amount of data transmitted by each UE. Finally, we use computer simulations to demonstrate the effectiveness of our technique.INDEX TERMS unmanned aerial vehicle (UAV), speed control, fairness, disaster Many communication systems using UAV swarms to cover large areas have been proposed [23], [24], such as the information collection system in [25], in which UAVs fly in a circular trajectory. Timeliness and fairness are two important

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