Evaluating RED performance in wireless base-station under self-similar traffic

Author

Gao, Deyun ; Shu, Yantai ; Qi, Lantao ; Yang, Oliver W W

Author_Institution

Dept. of Comput. Sci., Tianjin Univ., China

Volume

3

fYear

2002

fDate

2002

Firstpage

1545

Abstract

We simply review some buffer management mechanisms. In particular, we study the performance of the random early detection (RED) algorithm by simulation in a packet cellular wireless network. Using ns-NOAH simulation the throughput and queue size of the base-station with RED algorithm are studied in an environment under self-similar traffic. The results show that there are little performance difference between RED and drop tail base-station. We shed some light on these critical questions through the discussions in this paper.

Keywords

buffer storage; cellular radio; digital simulation; fractals; packet radio networks; queueing theory; telecommunication congestion control; telecommunication traffic; RED algorithm; RED performance evaluation; congestion control; drop tail base-station; ns-NOAH simulation; packet cellular wireless network; queue size; random early detection; self-similar traffic; throughput; wireless base-station; wireless network traffic; Computational modeling; Computer science; Delay; Negative feedback; Space technology; Tail; Telecommunication traffic; Throughput; Traffic control; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7514-9

Type

conf

DOI

10.1109/CCECE.2002.1012983

Filename

1012983