Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis

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 nov...

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Main Authors: New, Wee Kiat, Leow, Chee Yen, Navaie, Keivan, Sun, Yanshi, Ding, Zhiguo
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2021
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Online Access:http://eprints.utm.my/id/eprint/94106/
http://dx.doi.org/10.1109/JSAC.2021.3088671
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spelling my.utm.941062022-02-28T13:32:01Z http://eprints.utm.my/id/eprint/94106/ Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis New, Wee Kiat Leow, Chee Yen Navaie, Keivan Sun, Yanshi Ding, Zhiguo TK Electrical engineering. Electronics Nuclear engineering 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). Institute of Electrical and Electronics Engineers Inc. 2021-10 Article PeerReviewed New, Wee Kiat and Leow, Chee Yen and Navaie, Keivan and Sun, Yanshi and Ding, Zhiguo (2021) Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis. IEEE Journal on Selected Areas in Communications, 39 (10). pp. 3067-3080. ISSN 0733-8716 http://dx.doi.org/10.1109/JSAC.2021.3088671 DOI:10.1109/JSAC.2021.3088671
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
New, Wee Kiat
Leow, Chee Yen
Navaie, Keivan
Sun, Yanshi
Ding, Zhiguo
Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
description 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).
format Article
author New, Wee Kiat
Leow, Chee Yen
Navaie, Keivan
Sun, Yanshi
Ding, Zhiguo
author_facet New, Wee Kiat
Leow, Chee Yen
Navaie, Keivan
Sun, Yanshi
Ding, Zhiguo
author_sort New, Wee Kiat
title Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
title_short Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
title_full Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
title_fullStr Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
title_full_unstemmed Interference-aware NOMA for cellular-connected UAVs: stochastic geometry analysis
title_sort interference-aware noma for cellular-connected uavs: stochastic geometry analysis
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url http://eprints.utm.my/id/eprint/94106/
http://dx.doi.org/10.1109/JSAC.2021.3088671
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score 13.2014675