Title :
A Gradient Based Peak-to-Average Power Ratio Reduction Method
Author :
Baliga, Jayant ; Grant, Alex ; Woodward, Graeme ; Kind, Adriel
Author_Institution :
Univ. of Melbourne, Melbourne
Abstract :
One promising approach to peak to average power ratio (PAPR) reduction for orthogonal frequency division multiple access (OFDMA) is the use of reserved tones, which are modulated so as to reduce the PAPR. One problem with this approach is the computationally efficient determination of reserved tone signals that best reduce the PAPR. In this paper we describe a new algorithm for selection of the reserved tone signals. The algorithm results from a differentiable approximation of the PAPR optimisation criterion. We derive a new joint minimisation method capable of reducing multiple peaks simultaneously. It is shown how this can be utilized in a low complexity gradient update algorithm. Simulations show superior performance (lower resultant PAPR) compared to other methods, where system parameters have been motivated by the proposed long term evolution of the 3GPP cellular standard.
Keywords :
MIMO communication; OFDM modulation; covariance matrices; gradient methods; minimisation; wireless channels; 3GPP cellular standard; complexity gradient update algorithm; differentiable approximation; gradient based peak-to-average power ratio; joint minimisation method; orthogonal frequency division multiple access; power ratio reduction method; reserved tone signals; Approximation algorithms; Frequency conversion; Large scale integration; Long Term Evolution; OFDM; Peak to average power ratio; Power amplifiers; Power engineering and energy; Time domain analysis; Transmitters;
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
DOI :
10.1109/GLOCOM.2007.723