Path: Top -> Journal -> Jurnal Nasional Teknik Elektro dan Teknologi Informasi -> 2019 -> Vol 8, No 3

Analisis Kinerja MIMO Masif dengan Teknik Precoding Maximum Ratio Transmission

Journal from gdlhub / 2019-11-18 10:29:19
Oleh : Rusdha Muharar, JNTETI
Dibuat : 2019-11-18, dengan 1 file

Keyword : Komunikasi seluler pengguna jamak, Massive MIMO, Maximum Ratio Transmission, Analisis Dimensi Tak-Hingga, Kapasitas Pengguna
Url : http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/524
Sumber pengambilan dokumen : WEB

Channel State Information (CSI) at the base stations obtained via the uplink training is an important factor in cellular and multiuser Multi-Input Multi-Output (MIMO) communication networks. In massive MIMO cellular networks with pilotbased training, the most adopted approach is to employ the same set of orthogonal training symbols in each cell. This is called the full-pilot reuse (FPR) scheme. In this paper, we consider the lesscommon but a more practical approach where each cell uses different sets of orthogonal training symbols and call this scheme as the Different Orthogonal Pilot (DOP) sequences. In particular, we focus on the downlink performance of massive MIMO networks with the Maximum Ratio Transmission (MRT) precoder at the base stations. The analysis is performed in the large system regime where the number of antennas at each base station and the number of users at each cell tend to infinity with a fixed ratio. We obtain a new expression for the Signal to Interference plus Noise Ratio (SINR) in that regime, called the limiting SINR. Numerical simulations show that it can approximate the finite-size systems accurately. Furthermore, the simulations also indicate that the DOP scheme can give a better SINR and a higher user capacity compared to those of the FPR scheme.

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PropertiNilai Properti
ID Publishergdlhub
OrganisasiJNTETI
Nama KontakHerti Yani, S.Kom
AlamatJln. Jenderal Sudirman
KotaJambi
DaerahJambi
NegaraIndonesia
Telepon0741-35095
Fax0741-35093
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E-mail CKOelibrarystikom@gmail.com

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