{"id":{"repo_id":"hull","oai_identifier":"oai:hull-repository.worktribe.com:4209182"},"canonical_url":"https://search.dev.ndltd.org/etd/hull/oai:hull-repository.worktribe.com:4209182","repository":{"repo_id":"hull","name":"University of Hull","base_url":"https://hull-repository.worktribe.com/oaiprovider"},"display":{"title":"MIMO channel model","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Alhajri, H."],"institution":"University of Hull","degree_name":"MSc","degree_level":"Masters","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Paulson, Kevin S."],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009","date_published":"2009","updated_at":"2026-07-24T02:33:11Z","subjects":["Engineering"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:hull-repository.worktribe.com:4209182"],"render_values":[{"text":"oai:hull-repository.worktribe.com:4209182","href":null,"code":true}]}]},"links":{"outbound_url":"https://hull-repository.worktribe.com/4209182/1/Thesis","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Paulson, Kevin S."]},{"key":"dc:creator","label":"Author","values":["Alhajri, H."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2009-01-01"]},{"key":"dc:date.issued","label":"Date","values":["2009"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Hull"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://hull-repository.worktribe.com/output/4209182"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["oai:hull-repository.worktribe.com:4209182"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hull-repository.worktribe.com/4209182/1/Thesis"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["MIMO channel model"]}]}],"canonical_facts":{"dc:contributor.advisor":["Paulson, Kevin S."],"dc:creator":["Alhajri, H."],"dc:date":["2009-01-01"],"dc:date.issued":["2009"],"dc:description.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."],"dc:identifier":["oai:hull-repository.worktribe.com:4209182"],"dc:identifier.uri":["https://hull-repository.worktribe.com/4209182/1/Thesis"],"dc:language":["en"],"dc:publisher.institution":["University of Hull"],"dc:relation.isreferencedby":["https://hull-repository.worktribe.com/output/4209182"],"dc:subject":["Engineering"],"dc:title":["MIMO channel model"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-24T02:33:11Z"}