Design Low Complexity SCMA Codebook Using Arnold’s Cat Map

In 5G wireless communications, sparse code multiple access (SCMA) – a multi-dimensional codebook based on specific category of the non-orthogonal (NOMA) technique - enables many users to share resource components with low level detection complexity. The SCMA (MD-SCMA) design presented in this study is constellation rotation and interleaving method. Initially, subset lattice Z 2 used form mother constellation’s initial dimension. first dimension then rotated produce other dimensions. Additionally, employed for even dimensions enhance fading channel performance. Arnold’s chaotic cat map proposed as method reduce computational Performance evaluated by comparing it selected codebooks multiplexing. metrics performance evaluation purposes include bit error rate (BER), peak average power ratio (PAPR), minimum Euclidean distance (MED), well results demonstrate that suggested offers equivalent conventional interleaving. It characterized lower MED higher BER compared computer-generated 16-star QAM approaches, but its complexity than