An MIMO configuration mode and MCS level selection scheme by fuzzy Q-learning for HSPA + systems

Wen Ching Chung*, Chung Ju Chang, Kai-Ten Feng, Ying Yu Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper, we propose a fuzzy Q-learning-based MIMO configuration mode and MCS level (FQL-MOMS) selection scheme for high speed packet access evolution (HSPA +) systems. The FQL-MOMS selection scheme intends to enhance the system throughput under the block error rate (BLER) requirement guarantee. It will determine an appropriate MIMO configuration mode and MCS (modulation and coding scheme) level for packet data transmission in HSPA + systems, under the situations that the channel status is varying and the channel quality indication (CQI) has report delay. The FQL-MOMS scheme considers not only the reported CQI and the last transmission result but also the BLER performance metric and the transmission efficiency. Moreover, it is effectively configured, where the fuzzy rules and the reinforcement signals for the Q-learning algorithm are sophisticatedly designed. Simulation results show that the proposed FQL-MOMS scheme increases the system throughput by up to 49.3 and 35.9 percent, compared to the conventional adaptive threshold selection (ATS) scheme [CHECK END OF SENTENCE] and the Q-HARQ scheme [CHECK END OF SENTENCE], respectively, under the BLER requirement fulfillment.

Original languageEnglish
Article number6202815
Pages (from-to)1151-1162
Number of pages12
JournalIEEE Transactions on Mobile Computing
Volume11
Issue number7
DOIs
StatePublished - 1 Jul 2012

Keywords

  • BLER
  • HARQ
  • HSPA
  • MCS
  • MIMO
  • and Q-learning
  • fuzzy logic

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