MIMO Systems Performance Simulator
L. Berriche1, N. Al-Ghamdi2, A. Al-Qahtani3, A. Al-Garni4, M. Al-Azmi5
1Dr. Lamia Berriche, Department of Computer Science, Imam University, Riyadh, Saudi Arabia.
2Nujoud Al-Ghamdi, Department of Computer Science, Imam University, Riyadh, Saudi Arabia.
3Abeer Al-Qahtani, Department of Computer Science, Imam University, Riyadh, Saudi Arabia.
4Arwa Al-Garni, Department of Computer Science, Imam University, Riyadh, Saudi Arabia.
5Maha Al-Azmi, Department of Computer Science, Imam University, Riyadh, Saudi Arabia
Manuscript received on November 02, 2014. | Revised Manuscript received on November 04, 2014. | Manuscript published on November 05, 2014. | PP: 103-107 | Volume-4 Issue-5, November 2014. | Retrieval Number: E2436114514/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Multi Input Multi Output (MIMO) has emerged as a hot topic in wireless communications. This is due to possible dramatic increase in reliability and capacity as compared to single antenna solution. In this project we are developing a MIMO System Performance Simulation (MSPS) tool by using MATLAB for making more realistic studies of MIMO systems. By using this simulator one can see the Bit Error Rate (BER) performance of the system and Minimum Mean Square Error of LMMSE estimator according to given Pilot to Data Power Ratio (PDPR), pilot schemes and based on two types of channel model correlated and non-correlated.
Keywords: MIMO, Channel estimation, Symbol detection, simulator.