A Markov based method for modulation and coding scheme (MCS) with hybrid ARQ retransmission

Abstract

A Markov based method for modulation and coding scheme (MCS) selection is proposed for pilot assistant adaptive modulation and coding scheme (AMC) with hybrid ARQ (HARQ) retransmissions. A first-order finite-state Markov model (FSMM) is introduced to represent the time correlation character of channel fading during (channel quality indicator) CQI feedback and HARQ retransmissions. According to different QoS targets, such as maximizing the air interface throughput or maintaining a target frame error rate (FER) for each user, the Markov based method can deduce different reference pilot thresholds for each MCS. Theoretical analysis and link level simulation results both show the efficiency of the Markov based method for pilot threshold calculation according to different QoS target and different HARQ retransmission times