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Interference-Aware NOMA for Cellular-Connected UAVs: Stochastic Geometry Analysis

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Interference-Aware NOMA for Cellular-Connected UAVs: Stochastic Geometry Analysis. / New, Wee Kiat; Leow, Chee; Navaie, Keivan et al.
In: IEEE Journal on Selected Areas in Communications, Vol. 39, No. 10, 31.10.2021, p. 3067-3080.

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New WK, Leow C, Navaie K, Sun Y, Ding Z. Interference-Aware NOMA for Cellular-Connected UAVs: Stochastic Geometry Analysis. IEEE Journal on Selected Areas in Communications. 2021 Oct 31;39(10):3067-3080. Epub 2021 Jun 17. doi: 10.1109/JSAC.2021.3088671

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New, Wee Kiat ; Leow, Chee ; Navaie, Keivan et al. / Interference-Aware NOMA for Cellular-Connected UAVs : Stochastic Geometry Analysis. In: IEEE Journal on Selected Areas in Communications. 2021 ; Vol. 39, No. 10. pp. 3067-3080.

Bibtex

@article{d10700a57b5d4affa0a28274371f5435,
title = "Interference-Aware NOMA for Cellular-Connected UAVs: Stochastic Geometry Analysis",
abstract = "Efficiency of cellular-connected UAVs is challenged by spectrum inefficiency, limited number of concurrent connectivity, and strong interference. To overcome these issues, in this paper, we study the performance of downlink non-orthogonal multiple access for cellular-connected UAVs. We develop a novel framework based on stochastic geometry for the co-existence of aerial users (AUs) and terrestrial users (TUs), where the spatial distribution of the base stations (BSs) follows a Poisson Point Process. In our analysis, two user association policies and two types of receive antennas are considered while an inter-cell interference coordination (ICIC) technique is also in place. As the main performance measures, we then analytically derive the coverage probability and average rate of AUs and TUs. These derivations are then used to provide quantitative insights on the impact of different system parameters and settings including AU{\textquoteright}s altitude, TU{\textquoteright}s distance from the BS, power allocation, successive interference cancellation (SIC) constraints, user association policy, antenna beamwidth, and the number of coordinated BSs. Based on our analysis we then propose an interference-aware scheme based on maximum-SINR user association, directional antenna, and ICIC. A benchmark scheme based on minimum-distance user association, omni-directional antenna, and without ICIC is considered. Compared to the benchmark scheme, our proposed scheme improves the AU{\textquoteright}s coverage probability by threefold and TU{\textquoteright}s average rate by six-fold. Compared to the orthogonal multiple access, our proposed scheme trades off a slight reduction in the AU{\textquoteright}s coverage probability (~1%) with a significant increase in the achieved rate of the TUs (603Kbps/resource block).",
keywords = "Non-orthogonal multiple access, Cellular-connected UAVs, Stochastic geometry, Aerial users, Terrestrial users",
author = "New, {Wee Kiat} and Chee Leow and Keivan Navaie and Yanshi Sun and Zhiguo Ding",
note = "{\textcopyright}2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2021",
month = oct,
day = "31",
doi = "10.1109/JSAC.2021.3088671",
language = "English",
volume = "39",
pages = "3067--3080",
journal = "IEEE Journal on Selected Areas in Communications",
issn = "0733-8716",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "10",

}

RIS

TY - JOUR

T1 - Interference-Aware NOMA for Cellular-Connected UAVs

T2 - Stochastic Geometry Analysis

AU - New, Wee Kiat

AU - Leow, Chee

AU - Navaie, Keivan

AU - Sun, Yanshi

AU - Ding, Zhiguo

N1 - ©2021 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2021/10/31

Y1 - 2021/10/31

N2 - Efficiency of cellular-connected UAVs is challenged by spectrum inefficiency, limited number of concurrent connectivity, and strong interference. To overcome these issues, in this paper, we study the performance of downlink non-orthogonal multiple access for cellular-connected UAVs. We develop a novel framework based on stochastic geometry for the co-existence of aerial users (AUs) and terrestrial users (TUs), where the spatial distribution of the base stations (BSs) follows a Poisson Point Process. In our analysis, two user association policies and two types of receive antennas are considered while an inter-cell interference coordination (ICIC) technique is also in place. As the main performance measures, we then analytically derive the coverage probability and average rate of AUs and TUs. These derivations are then used to provide quantitative insights on the impact of different system parameters and settings including AU’s altitude, TU’s distance from the BS, power allocation, successive interference cancellation (SIC) constraints, user association policy, antenna beamwidth, and the number of coordinated BSs. Based on our analysis we then propose an interference-aware scheme based on maximum-SINR user association, directional antenna, and ICIC. A benchmark scheme based on minimum-distance user association, omni-directional antenna, and without ICIC is considered. Compared to the benchmark scheme, our proposed scheme improves the AU’s coverage probability by threefold and TU’s average rate by six-fold. Compared to the orthogonal multiple access, our proposed scheme trades off a slight reduction in the AU’s coverage probability (~1%) with a significant increase in the achieved rate of the TUs (603Kbps/resource block).

AB - Efficiency of cellular-connected UAVs is challenged by spectrum inefficiency, limited number of concurrent connectivity, and strong interference. To overcome these issues, in this paper, we study the performance of downlink non-orthogonal multiple access for cellular-connected UAVs. We develop a novel framework based on stochastic geometry for the co-existence of aerial users (AUs) and terrestrial users (TUs), where the spatial distribution of the base stations (BSs) follows a Poisson Point Process. In our analysis, two user association policies and two types of receive antennas are considered while an inter-cell interference coordination (ICIC) technique is also in place. As the main performance measures, we then analytically derive the coverage probability and average rate of AUs and TUs. These derivations are then used to provide quantitative insights on the impact of different system parameters and settings including AU’s altitude, TU’s distance from the BS, power allocation, successive interference cancellation (SIC) constraints, user association policy, antenna beamwidth, and the number of coordinated BSs. Based on our analysis we then propose an interference-aware scheme based on maximum-SINR user association, directional antenna, and ICIC. A benchmark scheme based on minimum-distance user association, omni-directional antenna, and without ICIC is considered. Compared to the benchmark scheme, our proposed scheme improves the AU’s coverage probability by threefold and TU’s average rate by six-fold. Compared to the orthogonal multiple access, our proposed scheme trades off a slight reduction in the AU’s coverage probability (~1%) with a significant increase in the achieved rate of the TUs (603Kbps/resource block).

KW - Non-orthogonal multiple access

KW - Cellular-connected UAVs

KW - Stochastic geometry

KW - Aerial users

KW - Terrestrial users

U2 - 10.1109/JSAC.2021.3088671

DO - 10.1109/JSAC.2021.3088671

M3 - Journal article

VL - 39

SP - 3067

EP - 3080

JO - IEEE Journal on Selected Areas in Communications

JF - IEEE Journal on Selected Areas in Communications

SN - 0733-8716

IS - 10

ER -