Peak-to-average power ratio in high-order OFDM

The problem of peak-to-average power ratio (PAPR) of high-order orthogonal frequency-division modulation (OFDM) is considered. Using results on level crossing of random processes, an upper bound on the probability that the PAPR of an OFDM signal will exceed a given value is derived. Numerical computations are used to show that this bound is tight for low-pass OFDM systems. The central limit theorem is used to find an asymptotic expression for the bound when the number of carriers N grows to infinity. The central limit theorem is also used to find an asymptotic expression for another bound that is based on the envelope of the OFDM signal, and is tighter for bandpass systems. It is shown that, effectively, the PAPR grows as 2lnN and not linearly with N, and by developing a lower bound on the probability that the PAPR of an OFDM signal will exceed a given value, it is shown that asymptotically most OFDM symbols have a PAPR close to 2lnN. Some approaches to coping with the PAPR problem are discussed in light of the obtained results.

[1]  harald Cramer,et al.  Stationary And Related Stochastic Processes , 1967 .

[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]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[4]  A. Gersho,et al.  Coefficient inaccuracy in transversal filtering , 1979, The Bell System Technical Journal.

[5]  Dov Wulich,et al.  Reduction of peak factor in orthogonal multicarrier modulation by amplitude limiting and coding , 1999, IEEE Trans. Commun..

[6]  J. Jedwab,et al.  Peak-to-mean power control in OFDM, Golay complementary sequences and Reed-Muller codes , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

[7]  Dov Wulich,et al.  Level clipped high-order OFDM , 2000, IEEE Trans. Commun..

[8]  D. Kendall Random Variables and Probability Distributions (3Rd Ed.) , 1971 .

[9]  S. Rice Mathematical analysis of random noise , 1944 .

[10]  Johannes B. Huber,et al.  A novel peak power reduction scheme for OFDM , 1997, Proceedings of 8th International Symposium on Personal, Indoor and Mobile Radio Communications - PIMRC '97.

[11]  Simon J. Shepherd,et al.  Asymptotic limits in peak envelope power reduction by redundant coding in orthogonal frequency-division multiplex modulation , 1998, IEEE Trans. Commun..

[12]  A. C. Aitken,et al.  Random variables and probability distributions , 1938 .

[13]  E. Parzen 1. Random Variables and Stochastic Processes , 1999 .

[14]  P. Schmid,et al.  Multiple-Access Communication with Binary Orthogonal Sine and Cosine Pulses Using Heavy Amplitude Clipping , 1971 .

[15]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[16]  R. D. Blevins PROBABILITY DENSITY OF FINITE FOURIER SERIES WITH RANDOM PHASES , 1997 .

[17]  Robert F. H. Fischer,et al.  OFDM with reduced peak-to-average power ratio by multiple signal representation , 1997, Ann. des Télécommunications.

[18]  T. Wilkinson,et al.  Block coding scheme for reduction of peak to mean envelope power ratio of multicarrier transmission schemes , 1994 .

[19]  Paul M. P. Spruyt,et al.  A method to reduce the probability of clipping in DMT-based transceivers , 1996, IEEE Trans. Commun..

[20]  Irving Kalet,et al.  The multitone channel , 1989, IEEE Trans. Commun..

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