Research Article
Studying Optimal Design of Strict Fractional Frequency Reuse in OFDMA Cellular System
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 116 - Issue 1 |
| Published: April 2015 |
| Authors: Mahmoud Nagieb, Mona Shokair, Waleed Saad |
10.5120/20301-2339
|
Mahmoud Nagieb, Mona Shokair, Waleed Saad . Studying Optimal Design of Strict Fractional Frequency Reuse in OFDMA Cellular System. International Journal of Computer Applications. 116, 1 (April 2015), 28-32. DOI=10.5120/20301-2339
@article{ 10.5120/20301-2339,
author = { Mahmoud Nagieb,Mona Shokair,Waleed Saad },
title = { Studying Optimal Design of Strict Fractional Frequency Reuse in OFDMA Cellular System },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 116 },
number = { 1 },
pages = { 28-32 },
doi = { 10.5120/20301-2339 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Mahmoud Nagieb
%A Mona Shokair
%A Waleed Saad
%T Studying Optimal Design of Strict Fractional Frequency Reuse in OFDMA Cellular System%T
%J International Journal of Computer Applications
%V 116
%N 1
%P 28-32
%R 10.5120/20301-2339
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The key characteristic of a cellular network is the ability to reuse frequencies to increase both coverage and capacity. Fractional frequency reuse (FFR) is considered to be an efficient inter-cell interference coordination technique well-suited for OFDMA based on wireless communication networks where the cells are partitioned into spatial regions with different frequency reuse factors. In this paper, evaluating strict FFR which represents a type of FFR deployments is presented with four different system models by changing the inner-cell shape for each model. System simulations are used to compare and evaluate the effect of changing the inner-cell shape based on strict FFR performance which performed using dense Monte Carlo simulations. In addition, the effects of some system model parameters are discussed.
References
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