Downlink NOMA for Coexistence of Aerial and Terrestrial Users : Stochastic Geometry Analysis

New, Wee Kiat and Leow, Chee Yen and Navaie, Keivan and Sun, Yanshi and Ding, Zhiguo (2021) Downlink NOMA for Coexistence of Aerial and Terrestrial Users : Stochastic Geometry Analysis. In: 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings :. 2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings . Institute of Electrical and Electronics Engineers Inc., TWN. ISBN 9781728182988

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Abstract

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.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
Funding Information: ACKNOWLEDGEMENT This work was supported in part by the Ministry of Higher Education Malaysia and Universiti Teknologi Malaysia under Grant 4J416, Grant 08G83, Grant 19H58, and Grant 04G37, Grant 09G15, and Grant 00L27. Publisher Copyright: © 2020 IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2214
Subjects:
?? media technologymodelling and simulationinstrumentationartificial intelligencecomputer networks and communicationshardware and architecturesoftwaresafety, risk, reliability and quality ??
ID Code:
206875
Deposited By:
Deposited On:
16 Oct 2023 12:45
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 05:22