Sarmad K. Ibrahim
Mustansiriyah University

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Performance enhancement of maximum ratio transmission in 5G system with multi-user multiple-input multiple-output Sarmad K. Ibrahim; Saif A. Abdulhussien
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1650-1658

Abstract

The downlink multi-user precoding of the multiple-input multiple-output (MIMO) method includes optimal channel state information at the base station and a variety of linear precoding (LP) schemes. Maximum ratio transmission (MRT) is among the common precoding schemes but does not provide good performance with massive MIMO, such as high bit error rate (BER) and low throughput. The orthogonal frequency division multiplexing (OFDM) and precoding schemes used in 5G have a flaw in high-speed environments. Given that the Doppler effect induces frequency changes, orthogonality between OFDM subcarriers is disrupted and their throughput output is decreased and BER is decreased. This study focuses on solving this problem by improving the performance of a 5G system with MRT, specifically by using a new design that includes weighted overlap and add (WOLA) with MRT. The current research also compares the standard system MRT with OFDM with the proposed design (WOLA-MRT) to find the best performance on throughput and BER. Improved system results show outstanding performance enhancement over a standard system, and numerous improvements with massive MIMO, such as best BER and throughput. Its approximately 60% more throughput than the traditional systems. Lastly, the proposed system improves BER by approximately 2% compared with the traditional system.
Baud rate variations effect on virtual channel based on PIC microcontroller Sarmad K. Ibrahim; Hussein M. Hathal; Riyadh A. Abdulhussein
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 6: December 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i6.12828

Abstract

Recent year in the world the real applications, usually needed only a few key features of Universal Asynchronous Receiver Transmitter (UART). It is a type of serial communication protocol, which improves the problem of parallel communication and develops effectively in several services. This paper presents a transceiver system based on PIC microcontroller. It also presents software designs to transmit and receive data through the virtual channel. The system is designed to study the effects of baud rate variations between transmitter and receiver for noise and noiseless AWGN channel. The system has been simulated by Proteus simulator version 8.1, and then tested successfully at baud rates (2400, 4800, 9600, and 19200) bps. Simulation results show that the error rate has zero values at the desired baud rate value, and also, at the adjacent values. Thus, the zero level of error rate is increased by increasing baud rate values, which fixed by the transmitter and vice versa.
Improved storage area network method for backup approach Sarmad K. Ibrahim; Saif A. Abdulhussien
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1493-1498

Abstract

Storage Area Network (SAN) could be a dedicated storage network which carries the info between servers and storage devices. SAN offers flexibility to implement and share data between servers and remote devices instead of the traditional method that reduced the performance of service. This paper improves SAN backup method to increase the CPU utilization and reduce the load on the link; the result shows that the improved method is better than of traditional in terms of response time in FTP about 36% while the traffic data is about 3%.