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PAPR Reduction Method for the Nonlinear Distortion in the Multicode CDMA System  

Kim Sang-Woo (Dept. of Electronic Engineering and Research Institute of Computer, Information & Communication, Chungbuk National University)
Kim Namil (Dept. of Electronic Engineering and Research Institute of Computer, Information & Communication, Chungbuk National University)
Kim Sun-Ae (Dept. of Electronic Engineering and Research Institute of Computer, Information & Communication, Chungbuk National University)
Suh Jae-Won (Dept. of Electronic Engineering and Research Institute of Computer, Information & Communication, Chungbuk National University)
Ryu Heung-Cyoon (Dept. of Electronic Engineering and Research Institute of Computer, Information & Communication, Chungbuk National University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.16, no.12, 2005 , pp. 1171-1178 More about this Journal
Abstract
Multi-code code division multiple access(MC-CDMA) has been proposed for providing the various service rates with different quality of service requirement by assigning multiple codes and increasing the capacity. However, it suffers from the serious problem of high peak to average power ratio(PAPR). So, it requires large input back-off, which causes poor power consumption in high power amplifier(HPA). In this paper, we propose a new method that can reduce PAPR efficiently by constraint codes based on the opposite correlation to the incoming information data in MC-CDMA. PAPR reduction depends on the length and indices of constraint codes in MC-CDMA system. There is a trade-off between PAPR reduction and the length of constraint codes. From the simulation results, we also investigate the BER improvement in AWGN channel with HPA. The simulation results show that BER performance can be similar with linear amplifier in two cases: 1) Using exact constraint codes without input back-off and 2) a few constraint codes with small input back-off.
Keywords
Multicode CDMA; PAPR; HPA; Correlation;
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