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Multi objective resource scheduling in LTE networks using reinforcement learning

  • Ioan-Sorin Comşa
    ,
  • Mehmet Emin Aydin
    ,
  • Sijing Zhang
    ,
  • Pierre Kuonen
    ,
  • Jean–Frédéric Wagen
Research Output:
Contribution to journal
Article
 Peer-review

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.

Publication Information

Output type

Research Output:
Contribution to journal
Article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 39-57

Journal (Volume, Issue Number)

International Journal of Distributed Systems and Technologies (Volume 3, Issue 2)

Publication milestones

  • Published - 01/01/2012

Publication status

Published - 01/01/2012

ISSN

1947-3532

Publication IDs

  • handle.net: 10547/250918
  • Scopus: 84880548144

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