Finite SNR diversity-multiplexing trade-off in hybrid ABCom/RCom-assisted NOMA networks

Li, X, Zheng, Y, Zhang, J, Dang, S, Nallanathan, A and Mumtaz, S ORCID: https://orcid.org/0000-0001-6364-6149, 2024. Finite SNR diversity-multiplexing trade-off in hybrid ABCom/RCom-assisted NOMA networks. IEEE Transactions on Mobile Computing. ISSN 1536-1233

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Abstract

The upcoming sixth generation (6G) driven Internetof- Things (IoT) will face the great challenges of extremely low power demand, high transmission reliability and massive connectivities. To meet these requirements, we propose a novel hybrid ambient backscatter communication (ABCom) or relay communication (RCom) assisted non-orthogonal multiple access (NOMA) network, which simultaneously enables traditional relay networks and ABCom-assisted IoT networks. Specifically, we investigate the reliability and the finite signal-to-noise ratio (SNR) diversity-multiplexing trade-off (f-DMT) of the proposed system to characterize the outage performance of the proposed system in the non-asymptotic SNR region. We derive the outage probability (OP) and the finite SNR diversity gain when two sources aim to communicate through either ABCom or RCom. On the basis that the results of Monte Carlo simulation and analysis are in perfect agreement, we discover that in the high SNR regime, the OP for ABCom tends to be a constant, leading to a zero diversity gain and an error floor, while the OP for RCom is monotone decreasing with respect to the SNR. Also, compared with the imperfect successive interference cancellation (ipSIC) mode, the reliability of the system under the ideal condition is significantly improved; Moreover, in the lower multiplexing gain regime, for both ABCom and RCom, the higher finite SNR diversity gain results in better system reliability, which provides good opportunities for ABCom to adapt f-DMT and improve relevant performance metrics by adapting the reflection parameter.

Item Type:	Journal article
Publication Title:	IEEE Transactions on Mobile Computing
Creators:	Li, X., Zheng, Y., Zhang, J., Dang, S., Nallanathan, A. and Mumtaz, S.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	23 January 2024
ISSN:	1536-1233
Identifiers:	Number Type 10.1109/tmc.2024.3357753 DOI 1857334 Other
Rights:	© 2024 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.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	06 Feb 2024 09:19
Last Modified:	06 Feb 2024 09:19
URI:	https://irep.ntu.ac.uk/id/eprint/50806

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