Radio resource allocation in LTE-advanced cellular networks with M2M communications

Author

Zheng, Kan ; Hu, Fanglong ; Wang, Wenbo ; Xiang, Wei ; Dohler, Mischa

Volume

50

Issue

7

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

184

Lastpage

192

Abstract

Machine-to-machine (M2M) communications are expected to provide ubiquitous connectivity between machines without the need of human intervention. To support such a large number of autonomous devices, the M2M system architecture needs to be extremely power and spectrally efficient. This article thus briefly reviews the features of M2M services in the third generation (3G) long-term evolution and its advancement (LTE-Advanced) networks. Architectural enhancements are then presented for supporting M2M services in LTE-Advanced cellular networks. To increase spectral efficiency, the same spectrum is expected to be utilized for human-to- human (H2H) communications as well as M2M communications. We therefore present various radio resource allocation schemes and quantify their utility in LTE-Advanced cellular networks. System-level simulation results are provided to validate the performance effectiveness of M2M communications in LTE-Advanced cellular networks.

Keywords

3G mobile communication; Long Term Evolution; cellular radio; resource allocation; H2H communication; LTE-advanced cellular network; M2M communication; M2M service; autonomous device; human intervention; human-to-human communication; machine-to-machine communication; radio resource allocation scheme; spectral efficiency; system-level simulation; third generation Long-Term Evolution; ubiquitous connectivity; Cellular networks; Interchannel interference; Logic gates; Long Term Evolution; Machine intelligence; Peer to peer computing; Quality of service; Radio access networks; Resource management;

fLanguage

English

Journal_Title

Communications Magazine, IEEE

Publisher

ieee

ISSN

0163-6804

Type

jour

DOI

10.1109/MCOM.2012.6231296

Filename

6231296