Title :
Peak-to-Average Power Ratio of Good Codes for Gaussian Channel
Author :
Polyanskiy, Yury ; Yihong Wu
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Consider a problem of forward error-correction for the additive white Gaussian noise (AWGN) channel. For finite blocklength codes, the backoff from the channel capacity is inversely proportional to the square root of the blocklength. In this paper, it is shown that the codes achieving this tradeoff must necessarily have peak-to-average power ratio (PAPR) proportional to logarithm of the blocklength. This is extended to codes approaching capacity slower, and to PAPR measured at the output of an orthogonal frequency division multiplexing modulator. As a by-product, the convergence of (Smith´s) amplitude-constrained AWGN capacity to Shannon´s classical formula is characterized in the regime of large amplitudes. This converse-type result builds upon recent contributions in the study of empirical output distributions of good channel codes.
Keywords :
AWGN channels; Gaussian channels; OFDM modulation; channel capacity; channel coding; forward error correction; PAPR proportional; Shannon classical formula characterization; additive white Gaussian noise channel; amplitude-constrained AWGN capacity; channel capacity; channel codes; empirical output distributions; finite blocklength codes; forward error-correction; orthogonal frequency division multiplexing modulator; peak-to-average power ratio; AWGN; AWGN channels; Convergence; Manganese; Peak to average power ratio; Zinc; Gaussian channels; Shannon theory; channel coding; converse; peak-to-average power ratio;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2014.2364712