Noise-Domain Non-Orthogonal Multiple Access for Three Users

📅 2025-09-27
📈 Citations: 0
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🤖 AI Summary
Existing two-user noise-domain NOMA (ND-NOMA) schemes exploit only the mean and variance of channel noise as modulation dimensions, limiting scalability to multi-user scenarios. Method: This paper proposes the first three-user ND-NOMA scheme, pioneering the use of inter-user noise correlation as an independent encoding dimension—enabling joint modulation and detection over mean, variance, and correlation. The scheme supports both uplink and downlink operation and employs a Rician-fading-channel-specific parameter detector, validated through theoretical analysis and simulations. Contribution/Results: While preserving the inherent low-power and low-complexity advantages of ND-NOMA, the proposed scheme achieves favorable bit error rate performance, significantly enhances user capacity and system scalability, and establishes a novel paradigm for noise-domain multiple access tailored to massive IoT deployments.

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📝 Abstract
In this study, we propose a novel three-user noise-domain non-orthogonal multiple access (ND-NOMA) scheme by introducing the correlation as a new dimension besides mean and variance quantities used in two-user ND-NOMA. The new three-user ND-NOMA scheme includes both uplink and downlink scenarios, with detectors designed to decode the information embedded in mean, variance, and correlation. Our theoretical analysis and simulation results under Rician fading channels show that the proposed system is capable of achieving promising bit error rate (BER) performance while preserving the low power and low complexity advantages of ND-NOMA. This new ND-NOMA design enables simultaneous communication among three users using different dimensions, paving the way for scalable multi-user communication in noise-domain systems and in the Internet-of-things (IoT) environments.
Problem

Research questions and friction points this paper is trying to address.

Extends noise-domain NOMA to support three-user communication
Embeds information in mean, variance and correlation dimensions
Maintains low power and low complexity for IoT systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

Introduces correlation as third dimension for three-user ND-NOMA
Designs detectors for decoding mean, variance and correlation
Enables simultaneous three-user communication with low complexity
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Erkin Yapici
Communications Research and Innovation Laboratory (CoreLab), Department of Electrical and Electronics Engineering, Koc University, Sariyer 34450, Istanbul, Türkiye
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Yusuf Islam Tek
Communications Research and Innovation Laboratory (CoreLab), Department of Electrical and Electronics Engineering, Koc University, Sariyer 34450, Istanbul, Türkiye
Ertugrul Basar
Ertugrul Basar
Professor of Wireless Systems, Tampere University.
Wireless CommunicationsCommunication TheoryRISNoise6G