All Outputs (2)

Multi objective resource scheduling in LTE networks using reinforcement learning (2012)
Journal Article
Wagen, J. F., Comşa, I. S., Aydin, M., Zhang, S., & Kuonen, P. (2012). Multi objective resource scheduling in LTE networks using reinforcement learning. International Journal of Distributed Systems and Technologies, 3(2), 39-57. https://doi.org/10.4018/jdst.2012040103

The use of the intelligent packet scheduling process is absolutely necessary in order to make the radio resources usage more efficient in recent high-bit-rate demanding radio access technologies such as Long Term Evolution (LTE). Packet scheduling pr... Read More about Multi objective resource scheduling in LTE networks using reinforcement learning.

A genetic algorithm approach for multiuser scheduling on the LTE downlink (2012)
Journal Article
Aydin, M. E., Kwan, R., Ding, W., & Wu, J. (2012). A genetic algorithm approach for multiuser scheduling on the LTE downlink. Lecture Notes in Artificial Intelligence, 2198, 1252-1257

The problem of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed in this paper. The optimization model used imposed that the radio resources for multiple users are jointly a... Read More about A genetic algorithm approach for multiuser scheduling on the LTE downlink.