SLM Technique Combined with a Random-Like Coding for Reducing PAPR in OFDM Systems with No Explicit Side Information
Keywords:
IRA Codes, OFDM, PAPR, SLM method.Abstract
OFDM is an attractive technique for high data
rate and reliable communication over fading channels and high
peak-to-average power ratio (PAPR) is a notable drawback of
orthogonal frequency-division multiplexing (OFDM) systems.
The main implementation drawback of this system is the
possibility of high Peak to Average Power Ratio (PAPR). The
idea in Selective Mapping (SLM) consists of converting the
original data lock into several independent signals, and then
transmitting the signal that has the lowest PAPR. The selected
signal index, called side information index, must also be
transmitted to allow for the recovery of the data block at the
receiver side, which leads to a reduction in data rate. In this
paper, we develop a novel SLM PAPR reduction technique. In
the novel proposed scheme, the alternative symbol sequences
are generated by module 2 additions of data with the rows of
cyclic Hadamard matrix with the same size, inserting the
selected row’s number to avoid transmitting any side
information and specially using a random-like Irregular Repeat
Accumulate (IRA) encoder for both PAPR and Bit Error Rate
(BER) better performance. Therefore our proposed scheme in
this paper is based on a novel SLM method combined with a
random-like coding of the transmitted data that have no need to
use side information for detecting transmitted data in the
receiver.
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