Title :
HARQ Control Scheme by Fuzzy Q-Learning for HSPA+
Author :
Chung, Wen-Ching ; Chen, Ying-Yu ; Chang, Chung-Ju
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
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.
Keywords :
3G mobile communication; MIMO communication; automatic repeat request; fuzzy set theory; learning (artificial intelligence); packet radio networks; telecommunication control; wireless channels; FQL-HARQ scheme; HARQ control scheme; HSPA systems; MCS level; MIMO configuration mode; adaptive threshold method; channel quality indication; coding scheme; data transmission; fuzzy Q-learning algorithm; guaranteed block error rate requirement; high speed packet access evolution systems; hybrid automatic repeat request control scheme; modulation scheme; multiple-input multiple-output configuration mode; report delay; system throughput; Data communication; Delay; Downlink; Fuzzy logic; MIMO; Multiaccess communication; Throughput;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location :
Budapest
Print_ISBN :
978-1-4244-8332-7
DOI :
10.1109/VETECS.2011.5956213
