Using Improved Product-Coded Modulation Codes to Reduce the Peak-to-Average Power Ratio in Single-Carrier Frequency

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Title:	Using Improved Product-Coded Modulation Codes to Reduce the Peak-to-Average Power Ratio in Single-Carrier Frequency
Authors:	Liang, Hsin-Ying;Yang, Cheng-Ying;楊政穎;Lin, Kuang-Hao;Cheng, Chia-Hsin
Contributors:	臺北市立大學資訊科學系
Keywords:	SC-FDMA;PAPR;Product-coded modulation codes;SLM;Reed–Muller codes
Date:	2016-12
Issue Date:	2017-07-31 13:35:21 (UTC+8)
Abstract:	Single-carrier frequency division multiple access (SC-FDMA) is a wireless transmission technology based on orthogonal frequency-division multiplexing. SC-FDMA is considered an uplink transmission technology according to long-term evolution standards and long-term evolution advanced standards, the latter of which is the transmission standard for fourth-generation mobile communication systems. A peak-to-average power ratio (PAPR) can be used to assess the power efficiency of transmitters. For a transmitter, a higher PAPR indicates lower power efficiency. The PAPR of an SC-FDMA system increases as the order of modulation increases, reducing the efficiency of the power amplifier. The method suggested in this paper is a new PAPR improvement technique based on product-coded modulation codes, in which the component codes of the product codes are built using Reed–Muller codes. The suggested method uses product-coded modulation to develop selective mapping (SLM). Unlike the traditional SLM technique, this method does not require side information to be transmitted to the receiver but proposes a mechanism for producing a phase factor to improve PAPR performance. The simulation results show that the suggested method produces higher PAPR efficiency compared with the conventional SC-FDMA system. In addition, multilevel coding, modulation technology, and PAPR improvement techniques are integrated into the suggested method to improve coding gains as well as spectral and PAPR efficiency.
Relation:	Wireless Personal Communications，Vol. 91，P.1345-1357
Appears in Collections:	[Department of Computer Science] Periodical Articles

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