An intelligent priority resource allocation scheme for LTE-A downlink systems

Wen Ching Chung*, Chung-Ju Chang, Li-Chun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

In this paper, we propose an intelligent priority resource allocation (iPRA) scheme for long term evolution-advanced (LTE-A) downlink systems with multimedia traffic. The iPRA scheme intelligently computes priorities for users by using fuzzy inference system so as to enhance system throughput and attain high Jain fairness index while guarantee QoS requirements. Simulation results show that the iPRA scheme can achieve higher system throughput and better QoS requirement guarantee than conventional radio resource allocation schemes in high traffic load, while attains a rather large Jain fairness index.

Original languageEnglish
Article number6177993
Pages (from-to)241-244
Number of pages4
JournalIEEE Wireless Communications Letters
Volume1
Issue number3
DOIs
StatePublished - 1 Jun 2012

Keywords

  • LTE-A
  • MIMO
  • OFDMA
  • QoS
  • Resource allocation
  • fairness
  • fuzzy inference

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