Power Domain Sparse Dimensional Constellation Multiple Access (PD-SDCMA): A Novel PD-NOMA for More Access Users

TL;DR

The paper addresses the challenge of severe interference in PD-NOMA when supporting many users by introducing Power Domain Sparse Dimensional Constellation MA (PD-SDCMA). It builds a vector-space framework and a signal-space dimension selection strategy (S2D-strategy) to sparsely map low-dimensional constellations into a high-dimensional space, reducing high-order interference through uncorrelated dimensions. Theoretical exposition of the vector-space representation and the S2D-strategy is followed by AWGN simulations showing that PD-SDCMA can support more users and achieve lower BER than PD-NOMA for QPSK and 16QAM. This approach offers a scalable mechanism for efficient spectrum utilization in future 6G networks with large-scale user access.

Abstract

With the advent of the 6G mobile communication network era, the existing non-orthogonal multiple-access (NOMA) technology faces the challenge of high successive interference in multi-user scenarios, which limits its ability to support more user access. To address this, this paper proposes a novel power-domain sparse-dimensional constellation multiple-access scheme (PD-SDCMA). Through the signal space dimension selection strategy (S2D-strategy), this scheme sparsely superposes low-dimensional constellations onto high-dimensional signal spaces, and reduces the high-order interference caused by SC by taking advantage of the non-correlation between dimensions. Specifically, PD-SDCMA reduces the successive interference between users by sparsifying the dimension allocation of constellation superposition and designs a sparse superposition method based on the theory of vector space signal representation. Simulation results show that, under the AWGN channel, PD-SDCMA significantly outperforms the traditional PD-NOMA in terms of the number of supported users under QPSK and 16QAM modulations, and also has better BER performance. This paper provides a new solution for efficient spectrum utilization in future scenarios with large-scale user access.

Figures (4)

• Figure 1: Schematic illustration of S2D-strategy.
• Figure 2: The DSP processing procedure at the transmitter.
• Figure 3: Schematic illustration of S2D-strategy.
• Figure 4: The BER performance of different multiple-access schemes as a function of the SNR.