Research Article
Radio-Aware Service-Level Scheduling to Minimize Downlink Traffic Delay Through Mobile Edge Computing
@INPROCEEDINGS{10.1007/978-3-319-26925-2_10, author={Jose Fajardo and Ianire Taboada and Fidel Liberal}, title={Radio-Aware Service-Level Scheduling to Minimize Downlink Traffic Delay Through Mobile Edge Computing}, proceedings={Mobile Networks and Management. 7th International Conference, MONAMI 2015, Santander, Spain, September 16-18, 2015, Revised Selected Papers}, proceedings_a={MONAMI}, year={2016}, month={1}, keywords={Mobile networks Flow scheduling Mobile edge computing 5G}, doi={10.1007/978-3-319-26925-2_10} }- Jose Fajardo
Ianire Taboada
Fidel Liberal
Year: 2016
Radio-Aware Service-Level Scheduling to Minimize Downlink Traffic Delay Through Mobile Edge Computing
MONAMI
Springer
DOI: 10.1007/978-3-319-26925-2_10
Abstract
One of the most challenging problems in mobile broadband networks is how to assign the available radio resources among the different mobile users. Traditionally, research proposals are either specific to some type of traffic or deal with computationally intensive algorithms aimed at optimizing the delivery of general purpose traffic. Consequently, commercial networks do not incorporate these mechanisms due to the limited hardware resources at the mobile edge. Emerging 5G architectures introduce cloud computing principles to add flexible computational resources to Radio Access Networks. This paper makes use of the Mobile Edge Computing concepts to introduce a new element, denoted as Mobile Edge Scheduler, aimed at minimizing the mean delay of general traffic flows in the LTE downlink. This element runs close to the eNodeB element and implements a novel flow-aware and channel-aware scheduling policy in order to accommodate the transmissions to the available channel quality of end users.
