Intelligent data rate control in cognitive mobile heterogeneous networks

Author

Mar, Jeich ; Hsiao-Chen Nien

Author_Institution

Dept. of Commun. Eng., Yuan-Ze Univ., Taoyuan, Taiwan

fYear

2011

fDate

1-3 June 2011

Firstpage

206

Lastpage

210

Abstract

An adaptive rate controller (ARC) based on adaptive neural fuzzy inference system (ANFIS) is designed to autonomously adjust the data rate of a mobile heterogeneous network to adapt the changing traffic load and the user speed for multimedia call services. Through simulations, it is demonstrated that the ARC is able to maintain new call blocking probability and handoff failure probability of the mobile heterogeneous network below a prescribed low level over different user speeds and new call origination rates while maximizing the average throughput. It is also shown that the ARC can make mobile heterogeneous network to accommodate more traffic load.

Keywords

adaptive control; cognitive radio; control system synthesis; fuzzy control; fuzzy reasoning; mobile radio; mobility management (mobile radio); multimedia communication; neurocontrollers; probability; telecommunication control; telecommunication network reliability; telecommunication traffic; ANFIS; ARC; adaptive neural fuzzy inference system; adaptive rate controller; call blocking probability; call origination rate; cognitive mobile heterogeneous network; handoff failure probability; intelligent data rate control; multimedia call service; traffic load; Bandwidth; Computer architecture; Microprocessors; Mobile communication; Mobile computing; Throughput; WiMAX; adaptive rate controller (ARC); cognitive mobile heteregeneous networks; complete sharing (CS) protocol; hierarchical Mobile WiMAX and DSRC networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2011 Sixth International ICST Conference on

Conference_Location

Osaka

Print_ISBN

978-1-4577-0140-5

Type

conf

Filename

6030777