A Packet Scheduling Algorithm in HSDPA System Based on Hopfield Neural Network

Author

Wang, HongPeng ; Zhao, Qi

Author_Institution

Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

92

Lastpage

95

Abstract

High speed downlink packet access system can support wide range of data rate service for diverse QoS. Each user has individual minimum data rate constraint. HSDPA scheduling scheme needs to provide certain data rate service for them as well as maximize the cell throughput. This paper proposes an algorithm based on the Hopfield neural network, called HNNMR, to achieve fast and suboptimal solution of this optimization problem. Some illustrative simulation results present to evaluate the performance of the new algorithm as compared with other strategies.

Keywords

3G mobile communication; Hopfield neural nets; code division multiple access; packet radio networks; radio links; scheduling; telecommunication computing; HSDPA system; Hopfield neural network; diverse QoS; high speed downlink packet access system; packet scheduling algorithm; Computational modeling; Computer science; Control systems; Downlink; Hopfield neural networks; Multiaccess communication; Neurons; Processor scheduling; Scheduling algorithm; Throughput; HSDPA; Hopfield Neural Network; scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3530-2

Electronic_ISBN

978-1-4244-3531-9

Type

conf

DOI

10.1109/KAMW.2008.4810432

Filename

4810432