@inproceedings{52118ff4d8804c12bbfcb9ae5eb8900d,
title = "Design of Polar Codes for Parallel Channels with an Average Power Constraint",
abstract = "Polar codes are designed for parallel binary-input additive white Gaussian noise (BiAWGN) channels with an average power constraint. The two main design choices are: the mapping between codeword bits and channels of different quality, and the power allocation under the average power constraint. Information theory suggests to allocate power such that the sum of mutual information (MI) terms is maximized. However, a power allocation specific to polar codes shows significant gains.",
keywords = "Block-Fading Channels, Mercury-Waterfilling, Parallel Channels, Polar Code, Power Allocation",
author = "Thomas Wiegart and Tobias Prinz and Fabian Steiner and Peihong Yuan",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Information Theory, ISIT 2019 ; Conference date: 07-07-2019 Through 12-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ISIT.2019.8849335",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1942--1946",
booktitle = "2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings",
}