@inproceedings{982c0e1bbcf24e70ac9f169a09fa0f18,
title = "Achieving Gaussian Vector Broadcast Channel Capacity with Scalar Lattices",
abstract = "A coding scheme with scalar lattices is applied to K-receiver, Gaussian, vector broadcast channels with K independent messages, one for each receiver. The method decomposes each receiver channel into parallel scalar channels with known interference and applies dirty paper coding with a modulo interval, amplitude shift keying (ASK), and probabilistic shaping to each scalar channel. The achievable rate tuples include all points inside the capacity region by choosing truncated Gaussian shaping, large ASK alphabets, and large modulo intervals.",
keywords = "Broadcast channel, capacity, dirty paper coding, lattices, multi-input multi-output",
author = "{\c S}ener, {M. Yusuf} and Gerhard Kramer and {Shamai Shitz}, Shlomo and Ronald B{\"o}hnke and Wen Xu",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Symposium on Information Theory, ISIT 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
year = "2024",
doi = "https://doi.org/10.1109/ISIT57864.2024.10619389",
language = "الإنجليزيّة",
series = "IEEE International Symposium on Information Theory - Proceedings",
pages = "1706--1711",
booktitle = "2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings",
}