Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis
Connecting aerial users (AU)s to cellular networks expands the potential of many applications. Nevertheless, existing cellular networks are not designed to efficiently serve AUs and terrestrial users (TU)s. Limited spectrum and high interference make the task even more challenging. Thus, in this pap...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/92768/ http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322605 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
id |
my.utm.92768 |
---|---|
record_format |
eprints |
spelling |
my.utm.927682021-10-28T10:13:54Z http://eprints.utm.my/id/eprint/92768/ Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis Wee, Kiat New Chee, Yen Leow Navaie, Keivan Sun, Yanshi Ding, Zhiguo TK Electrical engineering. Electronics Nuclear engineering Connecting aerial users (AU)s to cellular networks expands the potential of many applications. Nevertheless, existing cellular networks are not designed to efficiently serve AUs and terrestrial users (TU)s. Limited spectrum and high interference make the task even more challenging. Thus, in this paper, we examine the feasibility of fixed-power non-orthogonal multiple access (NOMA) scheme in meeting the demands of AUs and TUs by leveraging stochastic geometry. To this end, we propose a tractable framework for evaluating the coverage of AU and TU in cellular networks, where BSs are distributed using Poisson Point Process (PPP). We then derive the coverage probability of AU and TU. Using these analytical expressions, we further analyze the impact of different network parameters such as AU's altitude, TU's distance, and power allocation, and obtain key insights for designing an efficient NOMA scheme. Our results show that i) increasing AU's altitude does not always degrade the signal-to-interference ratio (SIR), ii) fixed-power NOMA scheme cannot be employed solely to serve AU's control and command (C C) link, iii) pairing a near TU with a typical AU may prevent significant performance degradation, and iv) mitigating the interference of TU could improve the performance of AU. 2020 Conference or Workshop Item PeerReviewed Wee, Kiat New and Chee, Yen Leow and Navaie, Keivan and Sun, Yanshi and Ding, Zhiguo (2020) Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis. In: 2020 IEEE Global Communications Conference, GLOBECOM 2020, 7 - 11 December 2020, Virtual, Taipei. http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322605 |
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 Wee, Kiat New Chee, Yen Leow Navaie, Keivan Sun, Yanshi Ding, Zhiguo Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
description |
Connecting aerial users (AU)s to cellular networks expands the potential of many applications. Nevertheless, existing cellular networks are not designed to efficiently serve AUs and terrestrial users (TU)s. Limited spectrum and high interference make the task even more challenging. Thus, in this paper, we examine the feasibility of fixed-power non-orthogonal multiple access (NOMA) scheme in meeting the demands of AUs and TUs by leveraging stochastic geometry. To this end, we propose a tractable framework for evaluating the coverage of AU and TU in cellular networks, where BSs are distributed using Poisson Point Process (PPP). We then derive the coverage probability of AU and TU. Using these analytical expressions, we further analyze the impact of different network parameters such as AU's altitude, TU's distance, and power allocation, and obtain key insights for designing an efficient NOMA scheme. Our results show that i) increasing AU's altitude does not always degrade the signal-to-interference ratio (SIR), ii) fixed-power NOMA scheme cannot be employed solely to serve AU's control and command (C C) link, iii) pairing a near TU with a typical AU may prevent significant performance degradation, and iv) mitigating the interference of TU could improve the performance of AU. |
format |
Conference or Workshop Item |
author |
Wee, Kiat New Chee, Yen Leow Navaie, Keivan Sun, Yanshi Ding, Zhiguo |
author_facet |
Wee, Kiat New Chee, Yen Leow Navaie, Keivan Sun, Yanshi Ding, Zhiguo |
author_sort |
Wee, Kiat New |
title |
Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
title_short |
Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
title_full |
Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
title_fullStr |
Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
title_full_unstemmed |
Downlink NOMA for coexistence of aerial and terrestrial users: Stochastic geometry analysis |
title_sort |
downlink noma for coexistence of aerial and terrestrial users: stochastic geometry analysis |
publishDate |
2020 |
url |
http://eprints.utm.my/id/eprint/92768/ http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322605 |
_version_ |
1715189687209951232 |