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Evaluation of Codebook Design Using SCMA Scheme Based on An and Dn Lattices
1 Department of ECE, Knowledge Institute of Technology, Salem, 637504, India
2 Department of ECE, Sona College of Technology, Salem, 636001, India
* Corresponding Author: G. Rajamanickam. Email:
Intelligent Automation & Soft Computing 2023, 35(3), 3037-3048. https://doi.org/10.32604/iasc.2023.029996
Received 16 March 2022; Accepted 05 May 2022; Issue published 17 August 2022
Abstract
The sparse code multiple access (SCMA) scheme is a Non-Orthogonal Multiple Access (NOMA) type of scheme that is used to handle the uplink component of mobile communication in the current generation. A need of the 5G mobile network is the ability to handle more users. To accommodate this, the SCMA allows each user to deploy a variety of sub-carrier broadcasts, and several consumers may contribute to the same frequency using superposition coding. The SCMA approach, together with codebook design for each user, is used to improve channel efficiency through better management of the available spectrum. However, developing a codebook with a greater number of value sets is still another challenge. With enhanced techniques of encoding and decoding for 5G networks, mapping the multidimensional constellations in the SCMA system plays a significant role in improving the system performance and enhancing the overall system performance. The creation of a codebook utilizing the SCMA approach in conjunction with the lattice theory is suggested in this study. The prototype is shaped using a popular lattice, such as A n and D n, as the basis. Afterward, from the primary lattice constellation, the multidimensional complex mother constellation with the most noticeable variance in power is discovered. The lattice-based coding is generated by combining the codebooks with the mother constellation, and the codes in the matrices are mapped by rotating the constellations in this context. The suggested technique, in conjunction with the investigation of novel SCMA codebook sets, provides improved performance in terms of Bit Error Rate (BER) and complexity with regard to Signal to Noise Ratio (SNR). Finally, the bit error rate is reduced for various SNRs during transmission in the channel.Keywords
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