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Issue No. 07 - July (2012 vol. 11)
ISSN: 1536-1233
pp: 1151-1162
Chung-Ju Chang , National Chiao Tung University, Hsinchu
Wen-Ching Chung , National Chiao Tung University, Hsinchu
Ying-Yu Chen , National Chiao Tung University, Hsin-Chu
Kai-Ten Feng , National Chiao Tung University, Hsinchu
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 ({\rm 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 {\rm 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.
{\rm HSPA}^{+}, MIMO, MCS, HARQ, BLER, fuzzy logic, and Q-learning.
Chung-Ju Chang, Wen-Ching Chung, Ying-Yu Chen, Kai-Ten Feng, "An MIMO Configuration Mode and MCS Level Selection Scheme by Fuzzy Q-Learning for HSPA⁺ Systems", IEEE Transactions on Mobile Computing, vol. 11, no. , pp. 1151-1162, July 2012, doi:10.1109/TMC.2011.139
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