Fuzzy Q-Learning-based Hybrid ARQ for High Speed Downlink Packet Access

Chiao-Yin Huang, Wen-Ching Chung, Chung-Ju Chang, Fang-Ching Ren

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, a fuzzy Q-learning-based hybrid automatic repeat request (FQL-HARQ) scheme is proposed to enhance the system performance of high speed downlink packet access (HSDPA) in universal mobile telecommunications system (UMTS). In the HSDPA system, it is an important issue to choose modulation and coding scheme (MCS) for new data packet when channel quality indicator (CQI) is inaccurate. Hence, the purpose of the FQL-HARQ scheme is to determine a suitable MCS for new data packet so as to maximize the system throughput while guarantee the block error rate (BLER) requirement. In the FQL-HARQ scheme, the fuzzy logic is used to choose a suitable MCS for each new data packet. According to the feedback information from the HSDPA system, the Q-learning algorithm is adopted to update fuzzy rule base. This makes the FQL-HARQ scheme can adapt to the variation of environment. Simulation results show that the proposed scheme can increase the system throughput of up to 70 % compared to the conventional adaptive method in the case with CQI report delay.
原文English
主出版物標題2009 IEEE 70TH VEHICULAR TECHNOLOGY CONFERENCE FALL, VOLS 1-4
發行者IEEE
頁面1822-+
ISBN(列印)978-1-4244-2514-3
出版狀態Published - 2009
事件2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall - Anchorage, AK, United States
持續時間: 20 九月 200923 九月 2009

出版系列

名字IEEE Vehicular Technology Conference Proceedings
發行者IEEE
ISSN(列印)1550-2252

Conference

Conference2009 IEEE 70th Vehicular Technology Conference Fall, VTC 2009 Fall
國家United States
城市Anchorage, AK
期間20/09/0923/09/09

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