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|Title:||NOMA-aided UAV communications over correlated Rician shadowed fading channels||Authors:||Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
|Keywords:||Engineering::Computer science and engineering||Issue Date:||2020||Source:||Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P. & Krishna, A. K. (2020). NOMA-Aided UAV communications over correlated Rician shadowed fading channels. IEEE Transactions on Signal Processing, 68, 3103-3116. doi:10.1109/TSP.2020.2994781||Project:||10.13039/501100001446||Journal:||IEEE Transactions on Signal Processing||Abstract:||In this paper, non-orthogonal multiple access (NOMA) is investigated as a viable solution to address spectrum scarcity in unmanned aerial vehicle (UAV) communications. Specifically, the performance analysis of a NOMA-aided UAV communication system (UCS) with dual-diversity receivers on UAVs is conducted over bivariate Rician shadowed fading channels. Using newly obtained closed-form expressions for the joint probability density function (PDF) and joint cumulative distribution function (CDF), the outage probability and finite signal-to-noise ratio (SNR) diversity gain of NOMA-aided UCS are investigated within a stochastic geometry framework. A comprehensive analysis reveals that NOMA-aided UCSs can support more UAVs on the same spectrum than OMA-based systems, with similar outage probability. It is also shown that the cross correlation affects the diversity gain of NOMA-aided and OMA-based UCSs only at low SNR regimes. Therefore, NOMA-aided UCSs can be an attractive alternative over OMA-based UCSs in future wireless systems.||URI:||https://hdl.handle.net/10356/144708||ISSN:||1053-587X||DOI:||10.1109/TSP.2020.2994781||Schools:||School of Computer Science and Engineering||Rights:||© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TSP.2020.2994781||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Journal Articles|
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