Non-Orthogonal Multiple Access in Multi-UAV Networks

Hou, Tianwei; Liu, Yuanwei; Sun, Xiaoying; Song, Zhengyu; Chen, Yue

doi:10.1109/vtcfall.2019.8891482

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…A Non-Orthogonal Multiple Access (NOMA) layout for UAV-assisted networks to provide emergency services in rural areas [86]. The proposal carry out the performance of terrestrial users enhancement, resulting in a by-device that is consumed in energy minimizing.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

2022

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Cover image courtesy of Dose Media © 2022 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.

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Section: Conflicts Of Interestmentioning

confidence: 99%

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

2022

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“…A Non-Orthogonal Multiple Access (NOMA) layout for UAV-assisted networks, to provide emergency services in rural areas [67].…”

Section: Civil Applicationsmentioning

confidence: 99%

Closing Connectivity Gap: An Overview of Mobile Coverage Solutions for Not-Spots in Rural Zones

Cabrera-Castellanos¹,

Aragón‐Zavala²,

Castañon-Ávila³

2021

Preprint

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Access to broadband communications in different parts of the world has become a priority for some governments and regulatory authorities around the world in recent years. Building new digital roads and pursuing a connected society includes looking for easier access to the Internet. In general, not all the areas where people congregate are fully covered, especially in rural zones, thus restricting access to data communications and bringing inequality. In the present review article, we have comprehensively surveyed the use of three platforms to deliver broadband services to such remote and low-income areas are proposed: Unmanned Aerial Vehicles (UAV), Altitude Platforms (APS), and Low-Earth Orbit (LEO) satellites. These novel strategies support the connected and accessible world hypothesis. Hence UAVs are considered a noteworthy solution since their efficient maneuverability can aboard the rural coverage issues or not-spots.

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“…In our system, we assume that no ground base station is available but the locations and data rate requirement of all users are pre-known. Furthermore, in spite of the well-known interference issues in UAV-assisted networks, such as multicell co-channel interference [16], [17], this work does not take into account the said interference which can be mitigated by various techniques such as, frequency planning, multi-beam UAV communication scheme [18], mmWave multi-stream multi-beam beamforming [19], non-orthogonal multiple access (NOMA) technique [20], cooperative NOMA scheme [21], cooperative interference cancellation strategy [18], [22], and other interference cancellation techniques.…”

Section: System Modelmentioning

confidence: 99%

QoS-Compliant 3D Deployment Optimization Strategy for UAV Base Stations

Zhong,

Huo,

Dong

et al. 2020

Preprint

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Unmanned aerial vehicle (UAV) is being integrated as an active element in 5G and beyond networks. Because of its flexibility and mobility, UAV base stations (UAV-BSs) can be deployed according to the ground user distributions and their quality of service (QoS) requirement. Although there has been quite some prior research on the UAV deployment, no work has studied this problem in a 3 dimensional (3D) setting and taken into account the UAV-BS capacity limit and the quality of service (QoS) requirements of ground users. Therefore, in this paper, we focus on the problem of deploying UAV-BSs to provide satisfactory wireless communication services, with the aim to maximize the total number of covered user equipment (UE) subject to user data rate requirements and UAV-BSs' capacity limit. First, we model the relationship between the air-to-ground (A2G) path loss (PL) and the location of UAV-BSs in both horizontal and vertical dimensions which has not been considered in previous works. Unlike the conventional UAV deployment problem formulation, the 3D deployment problem is decoupled into a 2D horizontal placement and altitude determination connected by path loss requirement and minimization. Then, we propose a novel genetic algorithm (GA) based 2D placement approach in which UAV-BSs are placed to have maximum coverage of the users with consideration of data rate distribution. Finally, numerical and simulation results show that the proposed approach has enabled a better coverage percentage comparing with other schemes.Index Terms-Unmanned aerial vehicle (UAV), wireless communications, broadcasting, user equipment (UE), air-to-ground (A2G), channel models, 3D deployment, genetic algorithm (GA). I. INTRODUCTIONU NMANNED aerial vehicle (UAV)-assisted communications have recently gained fast popularity as an effective solution to complement traditional stationary base stations. Unmanned aerial vehicle base stations (UAV-BSs) have the rapid-deployment and reconfiguration advantages compared to terrestrial ones [1]. The roadmap of telecommunication infrastructure provider [2] and 3GPP technical reports [3] have demonstrated promising field trials results of wireless connectivity to the UAVs, and discussed the future ubiquitous mobile broadband coverage both on the ground and in the sky. The fifth generation (5G) and beyond wireless communications and Internet-of-Things (IoT) application scenarios can X. Zhong, Y. Huo and X. Dong are with the

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Non-Orthogonal Multiple Access in Multi-UAV Networks

Cited by 11 publications

References 30 publications

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

Closing Connectivity Gap: An Overview of Mobile Coverage Solutions for Not-Spots in Rural Zones

QoS-Compliant 3D Deployment Optimization Strategy for UAV Base Stations

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