A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi

The increase in capacity and system data rate may lead to capacity problems and hence become one of the crucial issues in any Mobile Communication Networks. Although the Long Term Evolution (LTE) is called the 4th Generation of the Mobile Cellular Communication Network, it can no longer solve the pr...

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Main Author: Rosdi, Mastura
Format: Thesis
Language:English
Published: 2017
Online Access:https://ir.uitm.edu.my/id/eprint/97492/1/97492.pdf
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spelling my-uitm-ir.974922024-06-27T15:56:31Z A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi 2017 Rosdi, Mastura The increase in capacity and system data rate may lead to capacity problems and hence become one of the crucial issues in any Mobile Communication Networks. Although the Long Term Evolution (LTE) is called the 4th Generation of the Mobile Cellular Communication Network, it can no longer solve the problem regarding the capacity of the cell. In order to cope with the increase in demand for stable and high data rates among mobile users, femtocell or Home Evolve Node B (HeNB) has been developed to improve indoor capacity and coverage. Deploying femtocells in macrocell are one of the efficient ways to improve the performance of mobile services in high traffic congested areas. 2017 Thesis https://ir.uitm.edu.my/id/eprint/97492/ https://ir.uitm.edu.my/id/eprint/97492/1/97492.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Yusof, Azita Laily
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Yusof, Azita Laily
description The increase in capacity and system data rate may lead to capacity problems and hence become one of the crucial issues in any Mobile Communication Networks. Although the Long Term Evolution (LTE) is called the 4th Generation of the Mobile Cellular Communication Network, it can no longer solve the problem regarding the capacity of the cell. In order to cope with the increase in demand for stable and high data rates among mobile users, femtocell or Home Evolve Node B (HeNB) has been developed to improve indoor capacity and coverage. Deploying femtocells in macrocell are one of the efficient ways to improve the performance of mobile services in high traffic congested areas.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Rosdi, Mastura
spellingShingle Rosdi, Mastura
A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
author_facet Rosdi, Mastura
author_sort Rosdi, Mastura
title A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
title_short A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
title_full A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
title_fullStr A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
title_full_unstemmed A new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / Mastura Rosdi
title_sort new hybrid mathematical model for interference management by combining of fractional frequency reuse and dynamic power control methods in femtocell networks / mastura rosdi
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/97492/1/97492.pdf
_version_ 1804890018798370816