Multiuser scheduling on the LTE downlink with meta-heuristic approaches

Aydin M. E., Kwan R., Wu J.

Physical Communication, vol.9, pp.257-265, 2013 (Scopus)

  • Publication Type: Article / Article
  • Volume: 9
  • Publication Date: 2013
  • Doi Number: 10.1016/j.phycom.2012.01.004
  • Journal Name: Physical Communication
  • Journal Indexes: Scopus
  • Page Numbers: pp.257-265
  • Keywords: Genetic algorithms, Heuristic optimization, Long term evolution, Multiuser scheduling, Simulated annealing
  • İstanbul Ticaret University Affiliated: No

Abstract

In this paper, the issue of multi-user radio resource scheduling on the downlink of a Long Term Evolution (LTE) cellular communication system is addressed. An optimization model has been proposed earlier, where radio resources for multiple users are jointly allocated at the air-interface. It has been shown that an optimal solution to such a problem may provide reasonable gain over a simply greedy approach. However, the complexity of such an optimal approach could be prohibitively high. By exploiting meta-heuristic methods such as Genetic Algorithm (GA) and Simulated Annealing (SA), the results in this paper show that significant reduction in complexity can be obtained while achieving near-optimal solutions. © 2012 Elsevier B.V.