Aerial-terrestrial network NOMA for cellular-connected UAVs

Efficient connectivity in cellular-connected unmanned aerial vehicles (UAV)s is limited by scarcity of the radio spectrum and strong inter-cell interference (ICI). To address these issues, we propose an aerial-terrestrial network non-orthogonal multiple access (ATN-NOMA) scheme. In this proposed sch...

Full description

Saved in:
Bibliographic Details
Main Authors: New, Wee Kiat, Leow, Chee Yen, Navaie, Keivan, Ding, Zhiguo
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Online Access:http://eprints.utm.my/104447/
http://dx.doi.org/10.1109/TVT.2022.3165380
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
id my.utm.104447
record_format eprints
spelling my.utm.1044472024-02-08T07:58:04Z http://eprints.utm.my/104447/ Aerial-terrestrial network NOMA for cellular-connected UAVs New, Wee Kiat Leow, Chee Yen Navaie, Keivan Ding, Zhiguo TK Electrical engineering. Electronics Nuclear engineering Efficient connectivity in cellular-connected unmanned aerial vehicles (UAV)s is limited by scarcity of the radio spectrum and strong inter-cell interference (ICI). To address these issues, we propose an aerial-terrestrial network non-orthogonal multiple access (ATN-NOMA) scheme. In this proposed scheme, we pair the aerial user (AU) and terrestrial user (TU) in a NOMA setting to leverage their asymmetric channel gains and rate demands in downlink communications. In ATN-NOMA, the strong ICI issue at the AU receiver is further managed by an elevation-angle based user association, equipping the AU with an adjustable beamwidth directional antenna, and forming a beamforming among the coordinated terrestrial base stations (BS)s. We then obtain the optimal beamwidth and suboptimal power allocation so that the TUs' sum-rate is maximized subject to the AU's Quality-of-Service (QoS) requirement. The corresponding optimization problem is non-convex in which we exploit the structure of the problem and apply successive convex approximation (SCA) to obtain a suboptimal solution. We then derive the statistical properties, which consequently enable us to estimate the aggregated ICI. In cases where no interfering BSs have the same elevation angle as the coordinated BSs, we further approximate the AU's outage probability. We then compare the TUs' sum-rate and the outage probability of the ATN-NOMA with multiple existing schemes. Extensive simulation results show that our proposed ATN-NOMA scheme outperforms existing schemes by 52-91% in terms of the sum-rate, and its analytical outage probability can be as low as the order of 10-17. Furthermore, we show that the pairing of AU and TU in multi-cell networks remains beneficial, subject to effective mitigation of ICI. Institute of Electrical and Electronics Engineers Inc. 2022 Article PeerReviewed New, Wee Kiat and Leow, Chee Yen and Navaie, Keivan and Ding, Zhiguo (2022) Aerial-terrestrial network NOMA for cellular-connected UAVs. IEEE Transactions on Vehicular Technology, 71 (6). pp. 6559-6573. ISSN 0018-9545 http://dx.doi.org/10.1109/TVT.2022.3165380 DOI : 10.1109/TVT.2022.3165380
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
Ding, Zhiguo
Aerial-terrestrial network NOMA for cellular-connected UAVs
description Efficient connectivity in cellular-connected unmanned aerial vehicles (UAV)s is limited by scarcity of the radio spectrum and strong inter-cell interference (ICI). To address these issues, we propose an aerial-terrestrial network non-orthogonal multiple access (ATN-NOMA) scheme. In this proposed scheme, we pair the aerial user (AU) and terrestrial user (TU) in a NOMA setting to leverage their asymmetric channel gains and rate demands in downlink communications. In ATN-NOMA, the strong ICI issue at the AU receiver is further managed by an elevation-angle based user association, equipping the AU with an adjustable beamwidth directional antenna, and forming a beamforming among the coordinated terrestrial base stations (BS)s. We then obtain the optimal beamwidth and suboptimal power allocation so that the TUs' sum-rate is maximized subject to the AU's Quality-of-Service (QoS) requirement. The corresponding optimization problem is non-convex in which we exploit the structure of the problem and apply successive convex approximation (SCA) to obtain a suboptimal solution. We then derive the statistical properties, which consequently enable us to estimate the aggregated ICI. In cases where no interfering BSs have the same elevation angle as the coordinated BSs, we further approximate the AU's outage probability. We then compare the TUs' sum-rate and the outage probability of the ATN-NOMA with multiple existing schemes. Extensive simulation results show that our proposed ATN-NOMA scheme outperforms existing schemes by 52-91% in terms of the sum-rate, and its analytical outage probability can be as low as the order of 10-17. Furthermore, we show that the pairing of AU and TU in multi-cell networks remains beneficial, subject to effective mitigation of ICI.
format Article
author New, Wee Kiat
Leow, Chee Yen
Navaie, Keivan
Ding, Zhiguo
author_facet New, Wee Kiat
Leow, Chee Yen
Navaie, Keivan
Ding, Zhiguo
author_sort New, Wee Kiat
title Aerial-terrestrial network NOMA for cellular-connected UAVs
title_short Aerial-terrestrial network NOMA for cellular-connected UAVs
title_full Aerial-terrestrial network NOMA for cellular-connected UAVs
title_fullStr Aerial-terrestrial network NOMA for cellular-connected UAVs
title_full_unstemmed Aerial-terrestrial network NOMA for cellular-connected UAVs
title_sort aerial-terrestrial network noma for cellular-connected uavs
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url http://eprints.utm.my/104447/
http://dx.doi.org/10.1109/TVT.2022.3165380
_version_ 1792147743343378432