Peak to average power rate reduction for MC-CDMA system based on ICSA

Zhongxia He*, Jianping An, Binbin Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

One of the main implementation disadvantages of a multicarrier communication system is the possibly high peak to average power ratio of the transmitted signals which cause the requirement of highly cost linear amplifiers with large dynamic range. One proposed solution is given by Haiming Wang [1] which is based on the algorithm of Hopfield Neural Network (HNN). In this paper, we applied the Immune Clonal Selection Algorithm (ICSA), which is derive from the antibody clonal selection theory, instead of HNN to the designing of the transmitter. The simulation results verify the practicability of ICSA approaches that the probability that PAPR exceeds 5.5 dB is about 1/10 of that of the HNN approach. In addition, we analyzed the effects of different parameters of ICSA on the performance of PAPR reduction, by which a optimized parameters are suggested for designing a effective optimizer with low cost.

Original languageEnglish
Title of host publicationRFIT 2007 - IEEE International Workshop on Radio-Frequency Integration Technology
Pages302-305
Number of pages4
DOIs
Publication statusPublished - 2007
EventIEEE International Workshop on Radio-Frequency Integration Technology, RFIT 2007 - Singapore, Singapore
Duration: 9 Dec 200711 Dec 2007

Publication series

NameRFIT 2007 - IEEE International Workshop on Radio-Frequency Integration Technology

Conference

ConferenceIEEE International Workshop on Radio-Frequency Integration Technology, RFIT 2007
Country/TerritorySingapore
CitySingapore
Period9/12/0711/12/07

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