A Cross-Layer WiMAX Scheduling Algorithm Based on Genetic Algorithm

Author

Song, Jianfeng ; Li, Jiandong ; Li, Changle

Author_Institution

Broadband Wireless Commun. Lab., Xidian Univ., Xi´´an

fYear

2009

fDate

11-13 May 2009

Firstpage

292

Lastpage

296

Abstract

An efficient scheduling algorithm can enhance the quality of service (QoS) provided by IEEE802.16e mobile WiMAX. In this paper, a cross-layer scheduling algorithm based on genetic algorithm (CLSAGA) under the network utility maximization (NUM) concept is proposed to allocate resources for each service flow. The real coded genetic algorithm is employed to solve NUM optimization problem. Adaptive modulation and coding (AMC) scheme and QoS category index of each service flow jointly decide the weights of utility functions to calculate the scheduling scheme of medium access control (MAC) layer. Simulation results show that this approach guarantees the QoS requirements and balances priorities of the mobile stations.

Keywords

WiMax; access protocols; adaptive codes; adaptive modulation; genetic algorithms; mobile radio; modulation coding; quality of service; resource allocation; scheduling; IEEE802.16e mobile WiMAX; QoS; adaptive modulation-and-coding scheme; cross-layer WiMAX scheduling algorithm; genetic algorithm; medium access control layer; network utility maximization concept; quality of service; resource allocation; Adaptive control; Genetic algorithms; Media Access Protocol; Modulation coding; Programmable control; Quality of service; Resource management; Scheduling algorithm; Utility programs; WiMAX; Adaptive Modulation and Coding; Cross-layer design; Genetic Algorithm; Mobile WiMAX;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Networks and Services Research Conference, 2009. CNSR '09. Seventh Annual

Conference_Location

Moncton, NB

Print_ISBN

978-1-4244-4155-6

Electronic_ISBN

978-0-7695-3649-1

Type

conf

DOI

10.1109/CNSR.2009.52

Filename

4939140