Energy Efficient Scheduling for LTE

Funded by: Intel Corporation
Period: September 2012 - August 2013

Power consumption is an important issue for mobile devices. Development of cellular technologies causes more power demand for such devices. As a consequence, there is a need for new mechanisms to be adopted in order to reduce battery usage of these mobile devices.

The aim of this project is to identify and adopt operational configurations that will minimize power consumption while sustaining optimal QoS for users.

For this purpose, traffic pattern of top used mobile applications such as Google, Facebook, Youtube and Twitter will be analyzed and characteristics of these applications will be examined. Using these results, we will analytically formulate the problem of optimal scheduling for LTE and solve this optimization problem. By examining the results of simulation experiments of the developed scheduling technique under diverse traffic conditions, the optimal scheduler technique will be revised.