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.
|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
|Conference||2022 IEEE Vehicular Technology Society Asia Pacific Wireless Communications Symposium|
|Abbreviated title||IEEE VTS APWCS 2022|
|Country/Territory||Korea, Democratic People's Republic of|
|Period||24/08/22 → 26/08/22|