Abstract:
This paper investigates the asymptotic expansion of the maximum coding rate of a parallel Gaussian channel with feedback under the following setting: A peak power constra...Show MoreMetadata
Abstract:
This paper investigates the asymptotic expansion of the maximum coding rate of a parallel Gaussian channel with feedback under the following setting: A peak power constraint is imposed on every transmitted codeword, and the average error probabilities of decoding the transmitted message are non-vanishing as the blocklength increases. This paper proves an upper bound on the first-and second-order asymptotics. Combined with existing achievability results, our result implies that the presence of feedback does not improve the first-and second-order asymptotics.
Published in: 2017 IEEE Information Theory Workshop (ITW)
Date of Conference: 06-10 November 2017
Date Added to IEEE Xplore: 01 February 2018
ISBN Information: