Effect of phase control-based peak-to-average power ratio reduction on multi-input multi-output adaptive modulated vector coding systems

Abstract

As a solution to high peak-to-average power ratio (PAPR) problems in vector coding (VC) systems, phase control-based methods such as selected mapping (SLM) and partial transmit sequence have been investigated. As described in this study, a phase sequence blind estimation method is presented for PAPR reduction based on phase control in multi-input multi-output (MIMO) adaptive modulated VC systems, where turbo code is employed. On the receiver side, the phase sequence component is estimated using a maximum likelihood method that selects the most likely sequence among all candidate sequences by exploiting soft-output information of the decoder. Computer simulation results show that when the number of candidate sequences in SLM is M=16, instantaneous power of the transmit signal at the complementary cumulative distribution function of 10−5 can be reduced by about 4.0 and 3.5 dB for single-input single-output and MIMO cases as compared with the case without PAPR reduction, although almost identical block error rate performance and the same throughput performance as in the case of perfect phase sequence estimation are achieved in an attenuated six-path Rayleigh fading condition.