CG-SCMA Codebook Design Based on Maximized Euclidian Distance

• Autorzy: Mohamed Sura S. , Abdullah Hikmat N.

Identyfikatory

DOI

10.26636/jtit.2023.168122

• Języki publikacji: EN

Abstrakty

EN

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

Słowa kluczowe

EN

codebook; Euclidian distance; MPA; multiple access; sparse code

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2023
• Tom: nr 1
• Strony: 18--24
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Mohamed Sura S.

• Al-Nahrain University, College of Information Engineering, Baghdad, Iraq

autor

Abdullah Hikmat N.

• Al-Nahrain University, College of Information Engineering, Baghdad, Iraq

• https://orcid.org/0000-0002-1133-2057

Bibliografia

• [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 (https://doi.org/10.1109/OJCOMS.2021.3081166).
• [2] L. Zhang, “Sparse code multiple access for downlink multiple access of 5G wireless networks”, Computer Communications, vol. 158, pp. 17–23, 2020 (https://doi.org/ 10.1016/j.comcom.2020.04.022).
• [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 (https://doi.org/10.1109/ACCESS.2022.3178127).
• [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 (https://doi.org/10.12928/telkomnika.v16.i1.7365).
• [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 (https://doi.org/ 10.1109/ICC.2018.8422652).
• [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 (https://doi.org/10.1109/ACCESS.2018.2876030).
• [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 (https://doi.org/10.31987/ijict.2.2.64).
• [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 (https://doi.org/ 10.1109/TCOMM.2020.2974213).
• [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 (https://doi.org/ 22.927.10.11591/ijeecs.v22.i2.pp927-935).
• [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 (https://doi.org/ 10.3390/s20041016).
• [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 (https://doi.org/10.1016/j.dsp.2020.102919).
• [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 (https://doi.org/ 10.48550/arXiv.1906.03169).
• [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 (https://doi.org/10.26636/jtit.2022.164422).
• [14] Y.M. Tabra, “Beamforming with multiple access for 5G multimedia application”, Ph.D. thesis, Al-Nahrain University, 2019 (https://doi.org/10.13140/RG.2.2.13028.32647).

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).