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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Comparative Performance Analysis of Linear Precoding in Downlink Multi-user MIMO Subuh Pramono; Eddy Triyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.782 KB) | DOI: 10.11591/eecsi.v5.1638

Abstract

This paper investigates the comparative performance of linear precoding schemes. The linear precoding schemes are including block diagonalization (BD), zero forcing (ZF), and maximum ratio transmission (MRT) in downlink multi-user MIMO. This work delivers the performance of linear precoding in term of achievable sum rate and bit error rate (BER) with a variation of the signal to noise ratio (SNR) and the number of transmitter-receiver antennas. We suppose that the transmitters have a complete channel state information. The results show that the MRT precoding yields better bit error rate than both the BD and ZF precoding schemes. However, the ZF precoding generates better achievable sum rate than the MRT precoding. In the other side, the MRT precoding also outperforms when the number of active users is bigger than Kcross while the number of active users is less than Kcross the ZF precoding is still dominant.
Performance Analysis of SM-MISO with Q-CSIT in Wireless Sensor Network Subuh Pramono; Muhammad Ibrahim; Feri Adriyanto; Alfin Hikmaturokhman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1986

Abstract

In this paper, we investigate the role of Q-CSIT in SM-MISO for wireless sensor networks system. The SN are connected to the CH, it is modeled as a MISO system. Spatial modulation has an advantage over a conventional MIMO system which does not require multiple radio frequency chains as many as the number of transmit antennas. The Q-CSIT is aimed to estimate the faded wireless channel with a limited/finite number of bits. The finite number of feedback bits trigger the SN adapt automatically its AMC modes. Adaptation of the AMC modes causes a changing of transmit power and transmission rate, these changes will make a better probability of error. The numerical results show that bigger the number of feedback bits yields better SER. Furthermore, lower spatial correlation generates a better probability of error. The last, quality of wireless channel that is stated in SNR also dominantly influences the performance of SM – MISO system.