HARQ Control Scheme by Fuzzy Q-Learning for HSPA(+)

Wen-Ching Chung, Ying-Yu Chen, Chung-Ju Chang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose a hybrid automatic repeat request (HARQ) control scheme by using fuzzy Q-learning algorithm for high speed packet access evolution (HSPA(+)) systems. The challenge of the HARQ control in HSPA(+) systems is the selection of MIMO (multiple-input multiple-output) configuration mode and MCS (modulation and coding scheme) level for new data transmission of HARQ, under the situation that the channel quality indication has report delay. The fuzzy Q-learning-based HARQ (FQL-HARQ) scheme can determine an appropriate MIMO configuration mode and MCS level for new data transmission so as to maximize the system throughput under the guaranteed block error rate (BLER) requirement. Simulation results show that, the proposed FQL-HARQ scheme increases the system throughput by up to 70.09% as compared to the conventional adaptive threshold method [4].
Original languageEnglish
Title of host publication2011 IEEE 73RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)
PublisherIEEE
ISBN (Print)978-1-4244-8331-0
DOIs
StatePublished - 2011
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: 15 May 201118 May 2011

Publication series

NameIEEE Vehicular Technology Conference VTC

Conference

Conference2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
CountryHungary
CityBudapest
Period15/05/1118/05/11

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