MIMO channel model

Alhajri, H.

Abstract

Multiple-input multiple-output is a system that allows the technology to meet the growing demand for high data rates in wireless communications systems. The aim of this thesis is to investigate the capacity capability of the geometric channel model by using the one-ring and two-ring channel model and attempting to explain the differences and similarities between these two models.Simulations were performed on one-ring and two-ring channel models by using mat-lab code programming. These simulations indicate the ideal capacity results of one-ring and two-ring channel models. The simulation results show that capacity increased for both one-ring and two-ring channel model. However, in one-ring model, the mean capacity is more stable than the mean capacity of two-ring model, but the two-ring model has greater mean capacity than one-ring model.There are two types of conditions that have been applied: the equal power allocation and the water-filling. Mean capacity of both equal power and water-filling increased as the signal to noise ratio (SNR) is increased. The difference between these two capacities is that the equal power method has no knowledge about the channel of the transmitter and the transmit signal power is divided equally over the transmitting antennas. Water-filling assumes perfect knowledge about the channel which allows the total power to be divided in the most efficient way over different transmitters. Therefore, the results show the equal power has less capacity than the water-filling. Another element that affects the mean capacity is mutual coupling. The results show that the mutual coupling can be increased or decreased based on the close space between antennas.

Citation

Alhajri, H. (2009). MIMO channel model. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4209182

• Thesis Type: Thesis
• Deposit Date: Sep 28, 2011
• Publicly Available Date: Feb 22, 2023
• Keywords: Engineering
• Public URL: https://hull-repository.worktribe.com/output/4209182
• Additional Information: Department of Engineering, University of Hull
• Award Date: Jan 1, 2009