Hybrid Precoder Using Stiefel Manifold Optimization for Mm-Wave Massive MIMO System
| Autor: | Divya Singh, Aasheesh Shukla, Kueh Lee Hui, Mangal Sain |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Applied Sciences, Vol 12, Iss 23, p 12282 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2076-3417 45174636 |
| DOI: | 10.3390/app122312282 |
| Popis: | Due to the increasing demand for fast data rates and large spectra, millimeter-wave technology plays a vital role in the advancement of 5G communication. The idea behind Mm-Wave communications is to take advantage of the huge and unexploited bandwidth to cope with future multigigabit-per-second mobile data rates, imaging, and multimedia applications. In Mm-Wave systems, digital precoding provides optimal performance at the cost of complexity and power consumption. Therefore, hybrid precoding, i.e., analog–digital precoding, has received significant consideration as a favorable alternative to digital precoding. The conventional methods related to hybrid precoding suffer from low spectral efficiency and large processing time due to nested loops and the number of iterations. A manifold optimization-based algorithm using the gradient method is proposed to increase the spectral efficiency to be near optimal and to speed up the processing speed. A comparison of performances is shown using the simulation outcomes of the proposed work and those of the existing techniques. |
| Databáze: | Directory of Open Access Journals |
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