Hybrid PAPR Reduction Schemes for MIMO-OFDM System

Abstract

The emergence of both multiple-input-multiple-output (MIMO) systems and Orthogonal-Frequency-Division-Multiplexing (OFDM) is crucial to the recent rapid development of wireless communication, especially cellular communication. However, this MIMO-OFDM system inherits a significant disadvantage of using OFDM: the high peak-to-average-power ratio (PAPR). Thus, this paper proposes a hybrid PAPR reduction technique that combines three techniques: convolutional code, successive suboptimal cross-antenna rotation, inversion (SS-CARI), and modified companding. Results from the study show that a constraint length of four with a code rate of 1/4 is the value of parameters that maintains PAPR for the convolutional coding techniques, and 16 is the number of subblocks with the best PAPR performance for the SS-CARI technique. Finally, the parameter value that has the best PAPR performance for the μ-law companding technique is 255 for the companding parameter, one for the peak ratio (PR). Compared to the system without PAPR reduction schemes, this hybrid PAPR reduction scheme can reduce the PAPR by around 65.22% at the Complementary Cumulative Density Function (CCDF) of 10 -3.