Abstract
This paper presents a trade-off analysis associated with different matrix decomposition algorithms in the application of MIMO precoding. A scenario of 5G New Radio (NR) Multi-User MIMO (MU-MIMO) downlink involving one base station (BS) equipped with 64 antennas which serves multiple users simultaneously is studied. The channel model follows the 3GPP TDL-C with various levels of antenna correlation. Six different matrix decomposition algorithms are studied, namely QR Modified Gram-Schmidt (QR-MGS), QR householder, Cholesky, LDL, SVD Bidiagonalization, and SVD. An evaluation of the computational complexity of the algorithms is presented and the system performance compared. These analyses allow us to make an informed trade-off between performance and hardware complexity.
| Original language | English |
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| Publication status | Accepted/In press - 19 Jul 2022 |
| Event | 2022 IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium - Seoul, Korea, Democratic People's Republic of Duration: 24 Aug 2022 → 26 Aug 2022 http://www.apwcs2022.org/ |
Conference
| Conference | 2022 IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium |
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| Abbreviated title | IEEE VTS APWCS 2022 |
| Country/Territory | Korea, Democratic People's Republic of |
| City | Seoul |
| Period | 24/08/22 → 26/08/22 |
| Internet address |