Jawarneh, Ahlam, Albataineh, Zaid et Kadoch, Michel.
2022.
« Data detection method for uplink massive MIMO systems based on the long recurrence enlarged conjugate gradient ».
International Journal of Electrical and Computer Engineering, vol. 12, nº 4.
pp. 3911-3921.
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Résumé
Although the mean square error (MMSE) approach is recognized to be near optimal for uplinking large-scale multiple-input-multiple-output (MIMO) systems, there are certain difficulties in the procedure related to matrix inversion. The long recurrence enlarged conjugate gradient (LRE-CG) approach is proposed in this study as a way to iteratively realize the MMMS algorithm while avoiding the complications of matrix inversion. In addition, a diagonal-approximate starting solution to the LRE-CG approach was used to speed up the conversion rate and reduce the complications required. It has been discovered that the LRE-CG-based approach has the ability to significantly reduce computational complexity. By comparing simulation results, it is clear that this new methodology surpasses well-established ways like the Neumann series approximation-based method and the Gauss-Siedel iterative method. With a small number of iterations, the suggested approach achieves near-optimal performance of a standard MMSE algorithm.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Professeur: | Professeur Kadoch, Michel |
| Affiliation: | Génie électrique |
| Date de dépôt: | 02 juin 2022 19:08 |
| Dernière modification: | 23 juin 2022 15:14 |
| URI: | https://espace2.etsmtl.ca/id/eprint/24437 |
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