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Optimum Deployment of Multiple UAVs for Coverage Area Maximization in the Presence of Co-Channel Interference

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TLDR
This paper provides important design guidelines for the deployment of multiple UAVs in the presence of co-channel interference and reveals that the SINR threshold, the separation distance, and the number of Uavs and their formations should be carefully selected to achieve the maximum coverage area inside and to reduce the unnecessary expansion outside the target area.
Abstract
The use of the unmanned aerial vehicle (UAV) as the aerial base stations can provide wireless communication services in the form of UAV-based small cells (USCs). Thus, the major design challenge that needs to be addressed is the coverage maximization of such USCs in the presence of co-channel interference generated by multiple UAVs operating within a specific target area. Consequently, the efficient deployment strategy is imperative for USCs while optimizing the coverage area performance to compensate for the impact of interference. To this end, this paper presents a coordinated multi-UAV strategy in two scenarios. In the first scenario, symmetric placement of UAVs is assumed at a common optimal altitude and transmit power. In the second scenario, asymmetric deployment of UAVs with different altitudes and transmit powers is assumed. Then, the coverage area performance is investigated as a function of the separation distance between UAVs that are deployed in a certain geographical area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell boundary. Finally, the system-level performance of a boundary user is studied in terms of the coverage probability. The numerical results unveil that the SINR threshold, the separation distance, and the number of UAVs and their formations should be carefully selected to achieve the maximum coverage area inside and to reduce the unnecessary expansion outside the target area. Thus, this paper provides important design guidelines for the deployment of multiple UAVs in the presence of co-channel interference.

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Unmanned Aerial Vehicle Base Station (UAV-BS) Deployment With Millimeter-Wave Beamforming

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Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things

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UAV assisted 5G and beyond wireless networks: A survey

TL;DR: Optimize 3D placement and resource allocation, state of the artwork, solution and future research directions are presented in this article.
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QoS-Compliant 3-D Deployment Optimization Strategy for UAV Base Stations

TL;DR: This article proposes a novel genetic algorithm-based 2-D placement approach in which UAV-BSs are placed to have maximum coverage of the users with consideration of data rate distribution and results show that the proposed approach has enabled a better coverage percentage comparing with other schemes.
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Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things

TL;DR: In this paper, a multi-domain resource allocation for cognitive satellite-UAV network (CSUN) consisting of a satellite and a swarm of UAVs is investigated to improve the efficiency of massive access in wide areas.
References
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Journal ArticleDOI

Wireless communications with unmanned aerial vehicles: opportunities and challenges

TL;DR: An overview of UAV-aided wireless communications is provided, by introducing the basic networking architecture and main channel characteristics, highlighting the key design considerations as well as the new opportunities to be exploited.
Journal ArticleDOI

Optimal LAP Altitude for Maximum Coverage

TL;DR: An analytical approach to optimizing the altitude of LAPs to provide maximum radio coverage on the ground shows that the optimal altitude is a function of the maximum allowed pathloss and of the statistical parameters of the urban environment, as defined by the International Telecommunication Union.
Journal ArticleDOI

Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

TL;DR: The results show that, in order to mitigate interference, the altitude of the UAVs must be properly adjusted based on the beamwidth of the directional antenna as well as coverage requirements.
Proceedings ArticleDOI

Efficient 3-D placement of an aerial base station in next generation cellular networks

TL;DR: In this article, a 3D placement of UAVs to assist the cellular network via low-altitude UAV-BSs equipped with base stations is proposed. But, the authors highlight the properties of the drone-cell placement problem, and formulate it as a 3-D placement problem with the objective of maximizing the revenue of the network.
Journal ArticleDOI

Placement Optimization of UAV-Mounted Mobile Base Stations

TL;DR: A polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered.
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