Downlink cross-layer scheduling strategies for long-term evolution and long-term evolution-advanced systems

Giulio Bartoli, Romano Fantacci, Dania Marabissi, Daniele Tarchi*, Andrea Tassi

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

The most recent trend in the Information and Communication Technology world is toward an ever growing demand of mobile heterogeneous services that imply the management of different quality of service requirements and priorities among different type of users. The long-term evolution (LTE)/LTE-advanced standards have been introduced aiming to cope with this challenge. In particular, the resource allocation problem in downlink needs to be carefully considered. Herein, a solution is proposed by resorting to a modified multidimensional multiple-choice knapsack problem modeling, leading to an efficient solution. The proposed algorithm is able to manage different traffic flows taking into account users priority, queues delay, and channel conditions achieving quasi-optimal performance results with a lower complexity. The numerical results show the effectiveness of the proposed solution with respect to other alternatives.

Original languageEnglish
Pages (from-to)1234-1246
Number of pages13
JournalWireless Communications and Mobile Computing Special Issue: Ultrawideband for Wireless Communications
Volume15
Issue number8
DOIs
Publication statusPublished - 10 Jun 2015

Keywords

  • knapsack problem
  • LTE-A
  • multi-objective optimization
  • OFDMA
  • radio resource allocation

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