Multi-QoS-aware fair scheduling for LTE

Yasir Zaki, Thushara Weerawardane, Carmelita Görg, Andreas Timm-Giel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

the MAC scheduler is an important and crucial entity of the Long Term Evolution (LTE) and is responsible for efficiently allocating the radio resources among mobile users who have different QoS demands. The scheduler takes different considerations into account such as throughput and fairness when deciding the allocation of the scarce radio resources. LTE is an all IP packet system in which guaranteeing QoS is a real challenge. Therefore the LTE MAC scheduler should consider not only the throughput optimization but also the QoS differentiations in an effective manner. In this paper, we propose a novel LTE downlink MAC scheduling algorithm. The proposed scheduler differentiates between the different QoS classes and their requirements. Two different QoS classifications are considered: Guaranteed Bit Rate (GBR) and non Guaranteed Bit Rate (non-GBR). The proposed scheduler also considers the different users channel conditions and tries to create a balance between the QoS guarantees and the multi-user diversity in a proportional fair manner. The simulation analysis confirms that guaranteeing the different QoS requirements is possible.

Original languageEnglish (US)
Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
DOIs
StatePublished - 2011
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: May 15 2011May 18 2011

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
Country/TerritoryHungary
CityBudapest
Period5/15/115/18/11

Keywords

  • Component
  • LTE
  • OPNET
  • QoS aware scheduler
  • Simulation model

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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