Performance Evaluation of UAV-Assisted mmWave Operation in Mobility-Enabled Urban Deployments

Khosravi, Zeinab; Gerasimenko, Mikhail; Andreev, Sergey; Koucheryavy, Yevgeni

doi:10.1109/tsp.2018.8441321

Cited by 18 publications

(10 citation statements)

References 9 publications

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“…In the following, as shown in Fig. 17, we will review the existing studies about spatial configuration of UAVs in terms of position and trajectory optimization [37], [64], [159]- [162] as well as UAV deployment control [17], [140], [163].…”

Section: Spatial Configurationmentioning

confidence: 99%

“…The reason is that the application of small cell densification can raise the probability of LOS transmission conditions due to the increased number of access points (APs). To enable the small cell densification, Khosravi et al [163] applied the UAVs as the mmWave APs which were deployed in a Manhattan grid manner as the typical urban scenarios, aiming to reduce the probability of blockage. The effect of the UAV-mounted mmWave APs on the throughput of ground UEs and the coverage probability in the case of a non-uniform load was investigated.…”

Section: B: Small Cell Densification Deploymentmentioning

confidence: 99%

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A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks

et al. 2019

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In recent years, unmanned aerial vehicles (UAVs) have received considerable attention from regulators, industry and research community, due to rapid growth in a broad range of applications. Particularly, UAVs are being used to provide a promising solution to reliable and cost-effective wireless communications from the sky. The deployment of UAVs has been regarded as an alternative complement of existing cellular systems, to achieve higher transmission efficiency with enhanced coverage and capacity. However, heavily utilized microwave spectrum bands below 6 GHz utilized by legacy wireless systems are insufficient to attain remarkable data rate enhancement for numerous emerging applications. To resolve the spectrum crunch crisis and satisfy the requirements of 5G and beyond mobile communications, one potential solution is to use the abundance of unoccupied bandwidth available at millimeter wave (mmWave) frequencies. Inspired by the technique potentials, mmWave communications have also paved the way into the widespread use of UAVs to assist wireless networks for future 5G and beyond wireless applications. In this paper, we provide a comprehensive survey on current achievements in the integration of 5G mmWave communications into UAV-assisted wireless networks. More precisely, a taxonomy to classify the existing research issues is presented, by considering seven cutting-edge solutions. Subsequently, we provide a brief overview of 5G mmWave communications for UAV-assisted wireless networks from two aspects, i.e., key technical advantages and challenges as well as potential applications. Based on the proposed taxonomy, we further discuss in detail the state-of-the-art issues, solutions, and open challenges for this newly emerging area. Lastly, we complete this survey by pointing out open issues and shedding new light on future directions for further research on this area. INDEX TERMSMillimeter wave (mmWave) communications, unmanned aerial vehicle (UAV), mmWave UAV communications, UAV-assisted wireless networks, 5G and beyond.HAITAO XU received the B.E. degree in communication engineering from Sun Yat-sen University, Guangzhou, China, in 2007, the M.E. degree in communication system and signal processing from the University of Bristol, U.K., in 2009, and the Ph.D. degree in communication and information systems from the

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Section: Spatial Configurationmentioning

confidence: 99%

Section: B: Small Cell Densification Deploymentmentioning

confidence: 99%

A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks

et al. 2019

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“…Finally, channel tracking methods based on UAV movement state information and channel gain information are proposed by [19]. Utilization and study of use cases for UAVs are discussed in [20] and [21]. Both of these papers propose the use of UAVs as base stations and develop methods to optimize network coverage and spectral efficiency.…”

Section: State Of the Artmentioning

confidence: 99%

Millimeter Wave Remote UAV Control and Communications for Public Safety Scenarios

Xia¹,

Polese

Mezzavilla³

et al. 2019

2019 16th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings. In such uses, millimeter wave (mmWave) wireless links can provide high throughput and low latency connectivity between the UAV and a remote command center. However, maintaining reliable aerial communication in the mmWave bands is challenging due to the need to support high speed beam tracking and overcome blockage. This paper provides a simulation study aimed at assessing the feasibility of public safety UAV connectivity through a 5G link at 28 GHz. Real flight motion traces are captured during maneuvers similar to those expected in public safety settings. The motions traces are then incorporated into a detailed mmWave network simulator that models the channel, blockage, beamforming and full 3GPP protocol stack. We show that 5G mmWave communications can deliver throughput up to 1 Gbps with consistent sub ms latency when the base station is located near the mission area, enabling remote offloading of the UAV control and perception algorithms.

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“…This requires solutions to optimization problems, as there is no fixed standard for optimal coverage and network conditions are subject to change with respect to UAVs' operational states. Mobility is another factor affecting the coverage, which is eminent in defining the lifetime of the networks using UAVs as their core entities [13][14][15]. In addition to these, resource allocation, when UAVs are used as serving gateways, becomes tedious and requires effective policies to regulate the load [16,17].…”

Section: Introductionmentioning

confidence: 99%

Efficient Resource Allocation for Backhaul-Aware Unmanned Air Vehicles-to-Everything (U2X)

Gupta

Arena

You

2020

Sensors

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Unmanned aerial vehicles (UAVs) allow better coverage, enhanced connectivity, and elongated lifetime when used in telecommunications. However, these features are predominately affected by the policies used for sharing resources amongst the involved nodes. Moreover, the architecture and deployment strategies also have a considerable impact on their functionality. Recently, many researchers have suggested using layer-based UAV deployment, which allows better communications between the entities. Regardless of these solutions, there are a limited number of studies which focus on connecting layered-UAVs to everything (U2X). In particular, none of them have actually addressed the aspect of resource allocation. This paper considers the issue of resource allocation and helps decide the optimal number of transfers amongst the UAVs, which can conserve the maximum amount of energy while increasing the overall probability of resource allocation. The proposed approach relies on mutual-agreement based reward theory, which considers Minkowski distance as a decisive metric and helps attain efficient resource allocation for backhaul-aware U2X. The effectiveness of the proposed solution is demonstrated using Monte-Carlo simulations.

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Performance Evaluation of UAV-Assisted mmWave Operation in Mobility-Enabled Urban Deployments

Cited by 18 publications

References 9 publications

A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks

A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks

Millimeter Wave Remote UAV Control and Communications for Public Safety Scenarios

Efficient Resource Allocation for Backhaul-Aware Unmanned Air Vehicles-to-Everything (U2X)

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