Publication:
Noise-domain non-orthogonal multiple access

Placeholder

School / College / Institute

Organizational Unit

Program

KU Authors

Co-Authors

Publication Date

Language

Embargo Status

No

Journal Title

Journal ISSN

Volume Title

Alternative Title

Abstract

In this paper, we present noise-domain non-orthogonal multiple access (ND-NOMA), an innovative communication scheme that utilizes the modulation of artificial noise mean and variance to convey information. Distinct from traditional methods such as power-domain non-orthogonal multiple access (PD-NOMA) that heavily rely on successive interference cancellation (SIC), ND-NOMA utilizes the noise domain, considerably reducing power consumption and system complexity. Inspired by noise modulation, ND-NOMA provides lower bit error probability (BEP), making it highly suitable for next-generation Internet-of-Things (IoT) networks. Our theoretical analysis and computer simulations reveal that ND-NOMA can achieve exceptionally low bit error rates in both uplink and downlink scenarios, in the presence of Rician fading channels. The proposed multi-user system is supported by a minimum distance detector for mean detection and a threshold-based detector for variance detection, ensuring robust communication in low-power environments. By leveraging the inherent properties of noise, ND-NOMA offers a promising platform for long-term deployments of low-cost and low-complexity devices. © 2025 Elsevier B.V., All rights reserved.

Source

Publisher

Institute of Electrical and Electronics Engineers

Subject

Electrical & Electronic Engineering, Telecommunications

Citation

Has Part

Source

IEEE Open Journal of the Communications Society

Book Series Title

Edition

DOI

10.1109/OJCOMS.2025.3615839

item.page.datauri

Link

Rights

CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)

Copyrights Note

Creative Commons license

Except where otherwised noted, this item's license is described as CC BY-NC-ND (Attribution-NonCommercial-NoDerivs)

Endorsement

Review

Supplemented By

Referenced By

1

Views

0

Downloads

View PlumX Details