Tradeoff between PAPR reduction and decoding complexity in transformed OFDM systems

Ahirwar, V. ; Rajan, B. S. (2005) Tradeoff between PAPR reduction and decoding complexity in transformed OFDM systems In: Proceedings of the International Symposium on Information Theory, 2005. ISIT 2005, 4-9 Sept. 2005, Adelaide, SA, Australia.

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Official URL: http://ieeexplore.ieee.org/document/1523543/

Related URL: http://dx.doi.org/10.1109/ISIT.2005.1523543

Abstract

It is known that in an OFDM system using Hadamard transform or phase alteration before the IDFT operation can reduce the Peak-to-average Power Ratio (PAPR). Both these techniques can be viewed as constellation preceding for PAPR reduction. In general, using non-diagonal transforms, like Hadamard transform, increases the ML decoding complexity. In this paper we propose the use of block-IDFT matrices and show that appropriate block-IDFT matrices give lower PAPR as well as lower decoding complexity compared to using Hadamard transform. Moreover, we present a detailed study of the tradeoff between PAPR reduction and the ML decoding complexity when using block-IDFT matrices with various sizes of the blocks.

Item Type:Conference or Workshop Item (Paper)
Source:Copyright of this article belongs to Institute of Electrical and Electronics Engineers.
ID Code:111186
Deposited On:08 Dec 2017 10:31
Last Modified:08 Dec 2017 10:31

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