Deployment of UAV-mounted Access Points for VoWiFi Service with guaranteed QoS

Mayor, Vicente López-Ibor; Estepa, Rafael; Estepa, Antonio; Madinabeitia, Germán

doi:10.1016/j.comcom.2022.06.037

Cited by 3 publications

(2 citation statements)

References 45 publications

(86 reference statements)

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“…They proposed a joint power control and time allocation scheme to maximize the overall UAV-assisted IoVs system capacity. The work in [32] proposed K-means clustering and genetic metaheuristic algorithm solutions to optimize the UAVs deployment for minimizing the number of UAVs possible to provide Voice over WiFi (VoWiFi) service to a set of ground users subject to coverage, call-blocking probability, and QoS constraints.…”

Section: ) Uavs Exploiting the Unlicensed Bandmentioning

confidence: 99%

Location and User Association Optimization in Multiple Radio Access UAV-Assisted Heterogeneous IoT Networks

Anany,

Elmesalawy,

Ibrahim

et al. 2024

IEEE Access

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Recently, the huge growth in multimedia demand derived from smart devices and Internet of Things (IoT) development requires efficient heterogeneous networks with high data rates. To fulfill these requirements, the exploitation of Unmanned Aerial Vehicles (UAVs) enabled with multiple radio access for providing efficient connectivity should be considered, since it offers flexibility, ease of deployment, and ondemand service for wireless devices. In this paper, the idea of deploying Multiple Radio Access Technologies (Multi-RAT) base stations on a UAV is proposed, in order to utilize the unlicensed spectrum. The problem of optimizing the Multi-RAT UAV's location along with the wireless devices' association to maximize the total system throughput considering a heterogeneous LTE and WLAN ground network is investigated. To solve this problem, we propose a novel framework based on reinforcement learning and regret matching algorithms, such that the Q-learning algorithm is used to find the Multi-RAT UAV's optimum location, while regret matching is used to solve the optimum users' association. Moreover, a K-means clustering algorithm is adopted as an initialization phase to speed up the convergence of the proposed solution. Simulation results show the significance of the proposed idea of deploying Multi-RAT base stations on a UAV. Further, the performance analysis shows the effectiveness of the proposed framework by applying K-means as an initialization phase.

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Section: ) Uavs Exploiting the Unlicensed Bandmentioning

confidence: 99%

Location and User Association Optimization in Multiple Radio Access UAV-Assisted Heterogeneous IoT Networks

Anany,

Elmesalawy,

Ibrahim

et al. 2024

IEEE Access

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“…Це допомагає вчасно виявляти та виправляти проблеми у мережі та інфраструктурі, а також забезпечити високий рівень задоволення користувачів безпекою та підвищити ефективність роботи об'єктів критичної інфраструктури навіть у надзвичайних ситуаціях. Взаємозв'язок між метриками QoS і MOS для вимірювання якості голосового зв'язку на об'єктах критичної інфраструктури полягає в тому, що метрики QoS (затримки та втрати пакетів) є одним із основних компонентів, які впливають на MOS і сприяють оцінюванню загальної якості голосового зв'язку [2]. MOS є числовою оцінкою, яка відображає сприйняття якості голосового зв'язку користувачами.…”

Section: метрики Qos і Mos для вимірювання якості голосового зв'язку ...unclassified

Methodology for Measuring and Enhancing the Quality of Vowi-Fi and Volte Voice Communication on Critical Infrastructure Objects

Beshley,

Kochan,

Beshley

et al. 2023

ICTEE

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Critical infrastructure, which includes facilities necessary for the normal functioning of society (e.g., power plants, transportation hubs, hospitals, etc.), requires reliable communication to ensure uninterrupted operation and coordination of actions in emergency situations. This paper presents a methodology for measuring and improving the quality of voice communication via VoWi-Fi and VoLTE technologies at critical infrastructure facilities. One of the key aspects of the methodology is the creation of a test environment that reflects the real working conditions at critical infrastructure facilities. This includes using devices that support VoWi-Fi and VoLTE technologies, setting up Wi-Fi networks and mobile Internet access, and selecting standard test scenarios to assess voice quality. An important part of the methodology is measuring various communication quality parameters, such as signal strength, delay, and packet loss. For this purpose, special measurement tools are used, including the Ping Monitor and G-NetWi-Fi apps on the Android platform. The obtained data allow us to objectively assess the effectiveness of VoWi-Fi and VoLTE technologies at critical infrastructure facilities, in particular, using the proposed MOS (Mean Opinion Score) metric. It has been established that one of the main disadvantages of the traditional approach to using VoWi-Fi and VoLTE is the lack of automatic switching between these technologies in the event of a deterioration in the quality of one of them, which can lead to unsatisfactory perception of the conversation by the user. The proposed methodology involves the use of a MOS metric monitoring system that continuously measures the quality of voice communication on both technologies and implements a mechanism for adaptive switching between VoLTE and VoWi-Fi. This allows for automatic switching to the optimal technology depending on current conditions and provides the best quality of service for the user. In general, the article provides important information for implementing and optimizing these technologies at critical infrastructure facilities to improve the reliability and efficiency of voice communications.

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Experimental Validation of Networked Aerial IoUT Solutions: Testbeds and Measurements

Muzaffar,

Hummel

2023

Internet of Things

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Deployment of UAV-mounted Access Points for VoWiFi Service with guaranteed QoS

Cited by 3 publications

References 45 publications

Location and User Association Optimization in Multiple Radio Access UAV-Assisted Heterogeneous IoT Networks

Location and User Association Optimization in Multiple Radio Access UAV-Assisted Heterogeneous IoT Networks

Methodology for Measuring and Enhancing the Quality of Vowi-Fi and Volte Voice Communication on Critical Infrastructure Objects

Experimental Validation of Networked Aerial IoUT Solutions: Testbeds and Measurements

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