Adaptive Resource Allocation for OFDMA System Based on Ant Colony Algorithm

Author

Zhang, Xin ; Ye, Wu ; Feng, Suili ; Zhuang, Hongcheng

Author_Institution

Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

2526

Lastpage

2529

Abstract

This paper studies the problem of adaptive resource allocation in OFDMA system. An ant colony algorithm based adaptive resource allocation is proposed in this paper. The problem is modeled as finding a minimum cost path in a graph. The ants´ solution construction is guided by pheromone trail and heuristic information. Due to the unique heuristic searching mechanism of the ant colony algorithm, the proposed algorithm is guaranteed to converge quickly to an approximately optimal solution. Simulation results showed that the performance of the proposed algorithm is close to the optimal solution, and gains 1-2 dB in comparison with the fixed allocation scheme.

Keywords

OFDM modulation; frequency division multiple access; heuristic programming; minimisation; resource allocation; OFDMA system; adaptive resource allocation; ant colony algorithm; heuristic information; minimum cost path; pheromone trail; unique heuristic searching; Base stations; Costs; Information science; Iterative algorithms; Lagrangian functions; Linear programming; OFDM; Paper technology; Power system modeling; Resource management;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2009 1st International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4909-5

Type

conf

DOI

10.1109/ICISE.2009.212

Filename

5454874