Peak to average power reduction using amplitude and sign adjustment

In this paper, we propose a method to reduce the peak to mean envelope power ratio (PMEPR) of multicarrier signals by modifying the constellation. For MPSK constellations, we minimize the maximum of the multicarrier signal over the sign and amplitude of each subcarrier. In order to find an efficient solution to the aforementioned non-convex optimization problem, we present a suboptimal solution by first optimizing over the signs using the result of M. Sharif et al. (2003), and then optimizing over the amplitudes given the signs. We prove that the minimization of the maximum of a multicarrier signal over the amplitude of each subcarrier can be written as a convex optimization problem with linear matrix inequality constraints. We also generalize the idea to other constellations such as 16QAM. Simulation results show that by an average power increase of 0.21 db and not sending information over the sign of each subcarrier, PMEPR can be decreased by 5.1 db for a system with 128 subcarriers.

[1]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[2]  K. Paterson,et al.  On the existence and construction of good codes with low peak-to-average power ratios , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[3]  Xiaodong Li,et al.  Effects of clipping and filtering on the performance of OFDM , 1998, IEEE Communications Letters.

[4]  Holger Boche,et al.  Peak value estimation of bandlimited signals from their samples, noise enhancement, and a local characterization in the neighborhood of an extremum , 2003, IEEE Trans. Signal Process..

[5]  J. Tellado,et al.  Multicarrier Modulation with Low Par: Applications to DSL and Wireless , 2000 .

[6]  D.L. Jones,et al.  Peak power reduction in OFDM and DMT via active channel modification , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[7]  Babak Hossein Khalaj,et al.  On the peak-to-average power of OFDM signals based on oversampling , 2003, IEEE Trans. Commun..

[8]  Hideki Ochiai,et al.  Performance of the deliberate clipping with adaptive symbol selection for strictly band-limited OFDM systems , 2000, IEEE Journal on Selected Areas in Communications.

[9]  J.B. Huber,et al.  A comparison of peak power reduction schemes for OFDM , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[10]  Jos F. Sturm,et al.  A Matlab toolbox for optimization over symmetric cones , 1999 .

[11]  Babak Hassibi,et al.  A deterministic algorithm that achieves the PMEPR of c log n for multicarrier signals , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[12]  Kenneth G. Paterson,et al.  Generalized Reed-Muller codes and power control in OFDM modulation , 1998, IEEE Trans. Inf. Theory.