![](/images/graphics-bg.png)
Adaptive OFDMA resource allocation using modified multi-dimension genetic algorithm
Joint Authors
Ibrahim, Muhammad Khalid
al-Sabbagh, Haydar M.
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 12, Issue 1 (30 Jun. 2016), pp.103-113, 11 p.
Publisher
University of Basrah College of Engineering
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
A considerable work has been conducted to cope with orthogonal frequency division multiple access (OFDMA) resource allocation with using different algorithms and methods.
However, most of the available studies deal with optimizing the system for one or two parameters with simple practical condition/constraints.
This paper presents analyses and simulation of dynamic OFDMA resource allocation implementation with Modified Multi-Dimension Genetic Algorithm (MDGA) which is an extension for the standard algorithm.
MDGA models the resource allocation problem to find the optimal or near optimal solution for both subcarrier and power allocation for OFDMA.
It takes into account the power and subcarrier constrains, channel and noise distributions, distance between user's equipment (UE) and base stations (BS), user priority weight - to approximate the most effective parameters that encounter in OFDMA systems.
In the same time multi dimension genetic algorithm is used to allow exploring the solution space of resource allocation problem effectively with its different evolutionary operators: multi dimension crossover, multi dimension mutation.
Four important cases are addressed and analyzed for resource allocation of OFDMA system under specific operation scenarios to meet the standard specifications for different advanced communication systems.
The obtained results demonstrate that MDGA is an effective algorithm in finding the optimal or near optimal solution for both of subcarrier and power allocation of OFDMA resource allocation.
American Psychological Association (APA)
Ibrahim, Muhammad Khalid& al-Sabbagh, Haydar M.. 2016. Adaptive OFDMA resource allocation using modified multi-dimension genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 12, no. 1, pp.103-113.
https://search.emarefa.net/detail/BIM-691613
Modern Language Association (MLA)
Ibrahim, Muhammad Khalid& al-Sabbagh, Haydar M.. Adaptive OFDMA resource allocation using modified multi-dimension genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering Vol. 12, no. 1 (2016), pp.103-113.
https://search.emarefa.net/detail/BIM-691613
American Medical Association (AMA)
Ibrahim, Muhammad Khalid& al-Sabbagh, Haydar M.. Adaptive OFDMA resource allocation using modified multi-dimension genetic algorithm. The Iraqi Journal of Electrical and Electronic Engineering. 2016. Vol. 12, no. 1, pp.103-113.
https://search.emarefa.net/detail/BIM-691613
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 113
Record ID
BIM-691613