Title :
A dynamic LTE uplink packet scheduler for Machine-to-Machine communication
Author :
Maia, Adyson M. ; de Castro, Miguel F. ; Vieira, Dario
Author_Institution :
GREat Lab., Fed. Univ. of Ceara, Fortaleza, Brazil
Abstract :
The Long Term Evolution (LTE) standard plays an important role in the development of Machine-to-Machine (M2M) communication. However, the M2M communication has several different characteristics regarding to Human-to-Human (H2H) communication. Therefore, the shortage of radio resources, satisfaction of the Quality of Service (QoS) requirements and the reduction of the H2H traffic performance are important issues to be addressed when introducing the M2M communication in the network. In this article, we present a scheduler that may dynamically adjust to the level of congestion of the network based on the current traffic information of each device. The main goals of our approach are (i) satisfy the QoS requirements (ii) ensure fair allocation of resources and (iii) control the impact of H2H traffic performance. The simulation results demonstrated that the proposed scheduling has good performance according to the three objectives aforementioned.
Keywords :
Long Term Evolution; quality of service; resource allocation; telecommunication scheduling; telecommunication traffic; H2H communication; H2H traffic performance reduction; Long Term Evolution standard; M2M communication; QoS requirements; dynamic LTE uplink packet scheduler; human-to-human communication; machine-to-machine communication; quality of service; radio resources; resource allocation; traffic information; Delays; Dynamic scheduling; Performance evaluation; Quality of service; Resource management; Scheduling algorithms; Uplink; Internet of Things; IoT; LTE; M2M; Machine-to-Machine; uplink packet scheduler;
Conference_Titel :
Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 IEEE 25th Annual International Symposium on
DOI :
10.1109/PIMRC.2014.7136425
