An efficient reduced complexity PAPR reduction approach for 3GPP LTE system

In wideband communication systems, Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) has been proposed as an efficient technique to enhance the link reliability and the spectral efficiency. However, the high Peak to Average Power Ratio (PAPR) of the output signals degrades the advantage of the MIMO-OFDM systems. In order to overcome this issue, several methods requiring the explicit transmission of Side Information (SI) bits have been investigated in the literature. Nevertheless, the wrong estimation of the SI leads not only to a damage on the total signal recovery but also to a loss of the entire OFDM sequence which, causes severe degradation in the system performance. Additionally, the transmitted bits must be channel-encoded as they are particularly susceptible to the error performance of the OFDM system, which highly increases the complexity and the end-to-end latency. Therefore, we propose in this paper a blind and reduced complexity technique for MIMO-OFDM systems under high frequency selective channels. At the transmitter side, the proposed method exploits a new form of embedded signaling such as the use of the Zadoff-Chu matrix transform. Regarding the receiver side, the proposed method exploits simultaneously an enhanced Alamouti decoder scheme and an optimized estimation process that is based on calculating the high order statistic of the received signal. Finally, performances evaluation show the usefulness of the proposed methods in Long Term Evolution (LTE) standards.