A Particle Swarm Approach for IEEE 802.16m System Scheduling

Author

Qiao, Feng ; Lin, Ping

Author_Institution

Beijing Embedded Syst. Key Lab., Beijing Univ. of Technol., Beijing

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1234

Lastpage

1237

Abstract

This paper proposes an efficient downlink scheduling algorithm for IEEE 802.16 m System. It is focus on presenting and analyzing base station allocation of subcarriers and adaptive modulation. Proposed scheduling algorithm is based on particle swarm optimization algorithm. We improved the convergence and searching ability of the particle swarm algorithm through the method of niche technology and dynamic inertia weight. The numerical results showed that our proposed algorithm is better than static schemes FDMA in IEEE 802.16 m system.

Keywords

IEEE standards; WiMax; adaptive modulation; convergence; particle swarm optimisation; scheduling; search problems; IEEE 802.16m system scheduling; adaptive modulation; base station allocation; convergence; dynamic inertia weight; efficient downlink scheduling; niche technology; particle swarm optimization; scheduling algorithm; searching ability; subcarriers; Control systems; Embedded system; Iterative algorithms; Particle swarm optimization; Physical layer; Processor scheduling; Radio spectrum management; Resource management; Scheduling algorithm; Technology management; OFDMA; Particle Swarm; Proportional Fairness;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.1538

Filename

4721977