Robust SCMA Codebook Design: A Hardware-Aware Autoencoder Approach
For OFDM-SCMA system designers, this addresses the practical problem of carrier frequency offset and phase noise disrupting subcarrier orthogonality.
The paper proposes a hardware-aware autoencoder for SCMA codebook design that embeds differentiable CFO and PN layers into training, achieving suppression of bit error floors without real-time phase tracking.
Sparse code multiple access (SCMA) is a promising code-domain non-orthogonal multiple access scheme which is transmitted over orthogonal frequency division multiplexing (OFDM) to exploit multicarrier diversity. In practice, however, carrier frequency offset (CFO) and phase noise (PN) may disrupt the subcarrier orthogonality in OFDM-SCMA systems. Addressing this research problem from a new SCMA codebook design angle, we propose a hardware-aware end-to-end autoencoder that embeds differentiable CFO and Wiener PN layers into the training loop. Simulations show that the proposed codebook effectively suppresses the bit error floors caused by CFO and PN without requiring real-time phase tracking.