Rate allocation scheme for Machine-to-Machine service based on 3GPP in heterogeneous wireless networks

Author

Huang Yao ; Tian Hui ; Zhang Jie ; Qin Cheng

Author_Institution

Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China

Volume

10

Issue

9

fYear

2013

fDate

Sept. 2013

Firstpage

65

Lastpage

71

Abstract

In this study, an explicit adaptive traffic allocation scheme for Machine-to-Machine (M2M) service is proposed to achieve optimum distribution in heterogeneous networks. Based on the characteristics of M2M services, the presented scheme is formulated as a convex optimization problem that maximises the utility of the M2M service, and then determines how to allocate the total rate among the multiple access networks. The analysis and numerical simulations indicate that the proposed scheme makes a significant improvement in performance compared with the traditional schemes.

Keywords

3G mobile communication; convex programming; 3GPP; M2M service; convex optimization problem; heterogeneous wireless networks; machine-to-machine service; optimum distribution; rate allocation scheme; Delays; Radio access networks; Resource management; Telecommunication traffic; Throughput; Wireless networks; M2M service; heterogeneous wireless networks; rate allocation; utility;

fLanguage

English

Journal_Title

Communications, China

Publisher

ieee

ISSN

1673-5447

Type

jour

DOI

10.1109/CC.2013.6623504

Filename

6623504