CG-SCMA Codebook Design Based on Maximized Euclidian Distance
DOI:
https://doi.org/10.26636/jtit.2023.168122Keywords:
codebook, Euclidian distance, MPA, multiple access, sparse codeAbstract
Sparse code multiple access (SCMA) is a multi-dimensional codebook based on a class of non-orthogonal multiple access (NOMA) technologies enabling the delivery of non-orthogonal resource elements to numerous users in 5G wireless communications without increasing complexity. This paper proposes a computer-generated sparse code multiple access (CG-SCMA) technique, where the minimum Euclidian distance (MED) of a star 16-point quadrature amplitude modulation is maximized by CG-SCMA, thus creating a complex SCMA codebook based on optimizing the difference between the first and other radiuses over rotated constellations. To specify the most suitable values for this constellation, it is divided into four sub-constellations using trellis coded modulation (TCM) in an effort to optimize MED. The new codebook has four sub-constellations with MED values of 3.85, 2.26, 2.26, and 3.85, respectively. Application of the message passing algorithm (MPA) ensures low complexity of the decoding process
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[1] M. Rebhi, K. Hassan, K. Raoof, and P. Charge, “Sparse code multiple access: Potentials and challenges”, IEEE Open Journal of the Communications Society, vol. 2, pp. 1205–1238, 2021.
View in Google Scholar
[2] L. Zhang, “Sparse code multiple access for downlink multiple access of 5G wireless networks”, Computer Communications, vol. 158, pp. 17–23, 2020.
View in Google Scholar
[3] S. Chaturvedi, Z. Liu, V.A. Bohara, A. Srivastava, and P. Xiao, “A tutorial on decoding techniques of sparse code multiple access”, IEEE Access, vol. 10 , pp. 58503–58524, 2022.
View in Google Scholar
[4] A. Kosasih, O. Setyawati, and R. Rahmadwati, “Low complexity multiuser MIMO detection for uplink SCMA system using expectation propagation algorithm”, TELKOMNIKA, Telecommunication Comput. Electron. Control, vol. 16, no. 1, p. 182, 2018.
View in Google Scholar
[5] S. Lou, C. Gong, Q. Gao, and Z. Xu, “SCMA with low complexity symmetric codebook design for visible light communication”, 2018 IEEE International Conference on Communications (ICC), USA, 2018, pp. 1–6.
View in Google Scholar
[6] S. Liu, J. Wang, J. Bao, and C. Liu, “Optimized SCMA codebook design by QAM constellation segmentation with maximized MED”, IEEE Access, vol. 6, pp. 63232–63242, 2018.
View in Google Scholar
[7] Y.M. Tabra and B.M. Sabbar, “New computer generated-SCMA codebook with maximised Euclidian distance for 5G”, Iraqi Journal of Information and Communications Technology, vol. 2, no. 2, pp. 9–24, 2019.
View in Google Scholar
[8] Y.-M. Chen and J.-W. Chen, “On the design of near-optimal sparse code multiple access codebooks”, IEEE Trans. Commun., vol. 68 , no. 5, pp. 2950–2962, 2020.
View in Google Scholar
[9] S.A. Hussain, N. Ahmad, I. Shayea, H.M. Kaidi, L.A. Latiff, N. Mohamed, and S.M. Sam, “A review of codebook design methods for sparse code multiple access”, Indonesian Journal of Electrical Engineering and Computer Science, 2021.
View in Google Scholar
[10] G. Zhang, Z. Gu, Q. Zhao, J. Ren, and W. Lu, “A threshold-based max-log-MPA low complexity multiuser detection algorithm”, Sensors, vol. 20, no. 4, p. 1016, 2020.
View in Google Scholar
[11] P.P. Waghmare, “An optimized code book design and assignment based on 32-QAM constellation in downlink SCMA systems”, Digital Signal Processing, vol. 109, p. 102919, 2021.
View in Google Scholar
[12] J. Lin, S. Feng, Y. Zhang, Z. Yang, and Y. Zhang, “A novel deep neural network based approach for sparse code multiple access”, Neurocomputing, vol. 382 , pp. 52–63, 2020.
View in Google Scholar
[13] S.S. Mohamed and H.N. Abdullah, “Design low complexity SCMA codebook using Arnold’s cat map”, Journal of Telecommunications and Information Technology, no. 4, pp. 13–20, 2022.
View in Google Scholar
[14] Y.M. Tabra, “Beamforming with multiple access for 5G multimedia application”, Ph.D. thesis, Al-Nahrain University, 2019.
View in Google Scholar
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