DocumentCode :
258051
Title :
Energy efficient device discovery for social cloud applications in 3GPP LTE-advanced networks
Author :
Prasad, Athul ; Samdanis, Konstantinos ; Kunz, Andreas ; JaeSeung Song
Author_Institution :
NEC Eur. Ltd., Heidelberg, Germany
fYear :
2014
fDate :
23-26 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Recent advances in 3GPP for device-to-device (D2D) communications underlying the cellular infrastructure have revealed several benefits regarding network resource management and increased coverage. Notwithstanding these advantages, peer discovery may significant amount of device battery if devices need to constantly sense and notify each other irrespective of the application subscriptions, and the potential of establishing D2D communications. In this paper, we consider a novel social application-based discovery mechanism that enables D2D UEs to achieve significant energy consumption savings, using the concept of social cloud region. Such a cloud-based region helps UE to activate D2D discovery features only when they are close enough to other, while having same application-based interests. The engagement of cloud applications provides the means of offloading the discovery process from not only UEs but also the LTE core network. In this paper we analyze the energy consumption profiles of various discovery mechanisms using simulations. Our simulation results validate that our proposed discovery mechanism results in significant energy savings by reducing the frequency of performing discovery procedures.
Keywords :
3G mobile communication; Long Term Evolution; cloud computing; energy conservation; mobile computing; mobile handsets; radio equipment; 3GPP LTE-Advanced network; D2D communication; UE; cellular infrastructure; device-to-device communication; energy consumption; energy efficient device discovery; energy saving; network resource management; social application-based discovery mechanism; social cloud application; user equipment; Analytical models; Batteries; Computer architecture; Mathematical model; Performance evaluation; Power demand; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communication (ISCC), 2014 IEEE Symposium on
Conference_Location :
Funchal
Type :
conf
DOI :
10.1109/ISCC.2014.6912497
Filename :
6912497
Link To Document :
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