Effect of phase control based PAPR reduction in MIMO adaptive modulated vector coding systems

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 and partial transmit sequence have been investigated. In this paper, a phase sequence blind estimation method is presented for PAPR reduction based on phase control in multi-input multi-output (MIMO) adaptive modulated vector coding systems, where Turbo code is employed. On the receiver side, the phase sequence component is estimated using a maximum likelihood method which selects the most likelihood sequence among all candidate ones 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 CCDF of 10^-6 can be reduced by about 4.5dB and 3.4dB for SISO and MIMO cases as compared to case without PAPR reduction, while almost the same block error rate (BLER) performance and the same throughput performance as case of the prefect phase sequence estimation are achieved in attenuated 6-path Rayleigh fading condition.