Genetic Algorithm based Tone Injection PAPR Reduction 


Vol. 34,  No. 1, pp. 98-104, Jan.  2009


PDF
  Abstract

Tone injection scheme has been known as one of PAPR(Peak to Average Power Ratio) reduction methods deployable to multi-carrier system like OFDM(Orthogonal Frequency Division Multiplexing). The basic idea in tone injection scheme is to enforce the constellation size larger so that each of original constellation points is mapped into the preassigned distinct points. Along the accomplishment of tone injection, it needs great amount of computations to search out not only an appropriate frequency but a phase. Although there is no loss of transmission rate is expected because of no need to send the overhead, the tone injection scheme has not been preferable due to its enormous computations. To alleviate the amount of complexity, this paper proposes the GA(Genetic Algorithm) based tone injection scheme such that its complexity is reduced comparing with that of the conventional method. The simulation results show that the proposed GA based tone injection scheme approaches the PAPR performance associated with the conventional exhaustive search method at the expense of low computations.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Park, J. Choi, W. Lee, "Genetic Algorithm based Tone Injection PAPR Reduction," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 1, pp. 98-104, 2009. DOI: .

[ACM Style]

Soonkyu Park, Joo-pyoung Choi, and Won-cheol Lee. 2009. Genetic Algorithm based Tone Injection PAPR Reduction. The Journal of Korean Institute of Communications and Information Sciences, 34, 1, (2009), 98-104. DOI: .

[KICS Style]

Soonkyu Park, Joo-pyoung Choi, Won-cheol Lee, "Genetic Algorithm based Tone Injection PAPR Reduction," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 1, pp. 98-104, 1. 2009.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880