Multi objective resource scheduling in LTE networks using reinforcement learning
Abstract
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 procedure works with various dispatching rules with different behaviors. In the literature, the scheduling disciplines are applied for the entire transmission sessions and the scheduler performance strongly depends on the exploited discipline. The method proposed in this paper aims to discuss how a straightforward schedule can be provided within the transmission time interval (TTI) sub-frame using a mixture of dispatching disciplines per TTI instead of a single rule adopted across the whole transmission.Citation
Comşa, I.S., Aydin, M.E., Zhang, S., Kuonen, P., Wagen, J.F. (2012) 'Multi Objective Resource Scheduling in LTE Networks Using Reinforcement Learning' International Journal of Distributed Systems and Technologies 3 (2):39 - 57Publisher
IGI GlobalType
ArticleLanguage
enISSN
1947-35321947-3540
ae974a485f413a2113503eed53cd6c53
10.4018/jdst.2012040103