Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Van-Khoi Dinh"'
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 8, Iss 26 (2021)
In this paper, a low-complexity precoding algorithm is proposed to reduce the computational complexity and improve the performance for MU-MIMO systems under exponential spatial correlation channel conditions. The proposed precoders are designed consi
Externí odkaz:
https://doaj.org/article/05d36cd954fd461e9b472aafc084c6a6
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2020 (2020)
In this paper, a low-complexity linear precoding algorithm based on the principal component analysis technique in combination with the conventional linear precoders, called Principal Component Analysis Linear Precoder (PCA-LP), is proposed for massiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc99357ad08faee5f3da0fa612daac6
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 6, Iss 21 (2019)
In this paper, we investigate the combination of linear group precoding with a transmit antenna group selection (TA-GS) algorithm based on the channel capacity analysis for Massive MIMO systems. Simultaneously, we propose a low complexity linear prec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6ec29ce43c8bd5c29fcd19b711278fe
https://eudl.eu/pdf/10.4108/eai.24-10-2019.160982
https://eudl.eu/pdf/10.4108/eai.24-10-2019.160982
Publikováno v:
2018 International Conference on Advanced Technologies for Communications (ATC).
In this paper, we propose a new algorithm to select transmit antennas for precoding in a Massive MIMO system. At the Base Station (BS), the antennas are divided into subgroups with smaller dimensions. Then, they are selected based on the evaluation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cb4a144e6c7c283c45f21e454757ff5
https://doi.org/10.1109/atc.2018.8587451
https://doi.org/10.1109/atc.2018.8587451