3D Spectrum Sharing for Hybrid D2D and UAV Networks

Shang, Bodong; Liu, Lingjia; Rao, Raghunandan M.; Marojevic, Vuk; Reed, Jeffrey H.

doi:10.1109/tcomm.2020.2997957

Cited by 43 publications

(15 citation statements)

References 31 publications

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“…Some prior works already tried to relax the modeling assumption of "fixed altitude" when modeling multiple UAVs in the sky. Reference [16], for example, studied the coverage probability in a 3D deployment model of UAVs wherein all UAVs were distributed within a specific range of altitude that was uniformly divided into a certain number of levels. Reference [16] considered that UAVs were uniformly distributed above a 2D plane and positioned at different levels of altitude.…”

Section: A Prior Work On the 3d Models Of Uav-enabled Wireless Networkmentioning

confidence: 99%

“…Reference [16], for example, studied the coverage probability in a 3D deployment model of UAVs wherein all UAVs were distributed within a specific range of altitude that was uniformly divided into a certain number of levels. Reference [16] considered that UAVs were uniformly distributed above a 2D plane and positioned at different levels of altitude. A few prior works also adopted 3D homogeneous PPPs to model UAV-enabled cellular networks.…”

Section: A Prior Work On the 3d Models Of Uav-enabled Wireless Networkmentioning

confidence: 99%

“…Proof: See Appendix B. Note that (17) reduces to its closed-form version in (16) once the dependence between the elevation angle and the projection of each point in Φ u does not exit. We can infer the distribution of T 0 from Theorem 2.…”

Section: B Laplace Transforms Of the 3d Shot Signal Processes In φ Umentioning

confidence: 99%

See 2 more Smart Citations

A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas

Liu

Liang

Syed

et al. 2020

Preprint

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This paper aims to propose a three-dimensional (3D) point process model that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network and tractably analyze the fundamental network-wide performances of the network. The proposed 3D point process is devised based on a 2D homogeneous marked Poisson point process (PPP) in which each point and its random mark uniquely correspond to the projection and the altitude of each point in the 3D point process, respectively. We study some of the important statistical properties of the proposed 3D point process and shed light on some crucial insights into these properties that facilitate the analyses of a UAV-enabled cellular network wherein all the UAVs equipped with multiple antennas are deployed by the proposed 3D point process to serve as aerial base stations. The salient features of the proposed 3D point process lie in its suitability in practical 3D channel modeling and tractability in analysis. The downlink coverage performances of the UAV-enabled cellular network are analyzed and found in neat expressions and their closed-form results for some special cases are also derived. Most importantly, their fundamental limits achieved by cell-free massive antenna array are characterized when coordinating all the UAVs to jointly perform non-coherent downlink transmission. Finally, numerical results are provided to validate some of the key findings in this paper.

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Section: A Prior Work On the 3d Models Of Uav-enabled Wireless Networkmentioning

confidence: 99%

Section: A Prior Work On the 3d Models Of Uav-enabled Wireless Networkmentioning

confidence: 99%

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A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas

Liu

Liang

Syed

et al. 2020

Preprint

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“…The transmit power and UAV's placement/trajectory can also be jointly optimized to achieve the spectrum sharing between UAVs and terrestrial device-to-device (D2D) communication systems and cellular networks [7] [8]. In [9], a machine learningassisted framework for spectrum sharing between UAV and ground D2D was developed, in which UAVs opportunistically access the licensed channels through spatial spectrum sensing.…”

Section: Introductionmentioning

confidence: 99%

Spectrum Sharing between Directional-Antenna-Equipped UAV System and Terrestrial Systems

Kajiwara

Araki

et al. 2022

2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)

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Unmanned aerial vehicles (UAVs)-based applications, such as surveillance systems and wireless relays, are attracting increasing attention from academia and industrial fields. The high-performance aerial communication system is one of the key enablers for them. However, due to the low attenuation of radio waves in the air-to-ground channels, the interference between aerial and terrestrial communication systems would significantly deteriorate their communication performance and greatly limit the potential UAV applications. To address the problem, in this paper, the spectrum sharing strategy between a multiple UAV communication system, in which both UAVs and ground station (GS) are equipped with directional antennas, and terrestrial systems is proposed. The GS position is selected and the flyable areas of the UAVs using certain spectrum resources are defined in advance using prior knowledge from spectrum monitoring on terrestrial communication systems to minimize interference and maximize the flyable areas of the UAVs instead of the low-efficient dynamic channel sensing and allocation for interference elimination. The simulations are conducted through a case study of the spectrum sharing between a multi-UAV video transmission system and the terrestrial wireless local area network (WLAN) system in the 5.7GHz band. The simulation results show that thanks to the proposed system the entire area can be enabled for UAV flight.

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“…Some prior works already tried to relax the modeling assumption of "fixed altitude" when modeling multiple UAVs in the sky. Reference [4], for example, studied the coverage probability in a 3D deployment model of UAVs wherein all UAVs were distributed within a specific range of altitude that was uniformly divided into a certain number of levels.…”

Section: Introductionmentioning

confidence: 99%

A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular Networks

Liu¹,

Liang²,

Gau³

2021

Preprint

View full text Add to dashboard Cite

This paper aims to propose a three-dimensional (3D) point process that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network and tractably analyze the fundamental network-wide performances of the network. This 3D point process is devised based on a 2D marked Poisson point process in which each point and its random mark uniquely correspond to the projection and the altitude of each point in the 3D point process, respectively. We elaborate on some important statistical properties of the proposed 3D point process and then use them to tractably analyze the coverage performances of a UAV-enabled cellular network wherein all the UAVs equipped with multiple antennas are served as aerial base stations. The downlink coverage of the UAV-enabled cellular network is found and its closed-form results for some special cases are explicitly derived as well. Furthermore, the fundamental limits achieved by cell-free massive antenna array are characterized when coordinating all the UAVs to jointly perform non-coherent downlink transmission. These findings are validated by numerical simulation.

show abstract

3D Spectrum Sharing for Hybrid D2D and UAV Networks

Cited by 43 publications

References 31 publications

A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas

A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas

Spectrum Sharing between Directional-Antenna-Equipped UAV System and Terrestrial Systems

A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular Networks

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