A Resource Allocation Evolutionary Algorithm for OFDM Based on Karush-Kuhn-Tucker Conditions
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
For orthogonal frequency division multiplexing(OFDM), resource scheduling plays an important role.
Inresource scheduling, power allocation and subcarrier allocationare not independent.
So the conventional two-step methodis not very good for OFDM resource allocation.
This paperproposes a new method for OFDM resource allocation.
Thismethod combines evolutionary algorithm (EA) with Karush-Kuhn-Tucker conditions (KKT conditions).
In the optimizingprocess, a set of subcarrier allocation programs are made asa population of evolutionary algorithm.
For each subcarrierallocation program, a power allocation program is calculatedthrough KKT conditions.
Then, the system rate of each subcarrierallocation program can be calculated.
The fitness ofeach individual is its system rate.
The information of optimizingsubcarrier and power allocation can be interacted with each other.
So, it can overcome the shortcoming of the two-step method.
Computer experiments show the proposed algorithm is effective.
American Psychological Association (APA)
Liu, Hailin& Wang, Qiang. 2013. A Resource Allocation Evolutionary Algorithm for OFDM Based on Karush-Kuhn-Tucker Conditions. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031864
Modern Language Association (MLA)
Liu, Hailin& Wang, Qiang. A Resource Allocation Evolutionary Algorithm for OFDM Based on Karush-Kuhn-Tucker Conditions. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031864
American Medical Association (AMA)
Liu, Hailin& Wang, Qiang. A Resource Allocation Evolutionary Algorithm for OFDM Based on Karush-Kuhn-Tucker Conditions. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031864
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031864