Achieving Gaussian Vector Broadcast Channel Capacity with Scalar Lattices

Fuente: arXiv
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Autores principales: Şener, M. Yusuf, Kramer, Gerhard, Shamai, Shlomo, Böhnke, Ronald, Xu, Wen
Formato: Preprint
Publicado: 2024
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author Şener, M. Yusuf
Kramer, Gerhard
Shamai, Shlomo
Böhnke, Ronald
Xu, Wen
author_facet Şener, M. Yusuf
Kramer, Gerhard
Shamai, Shlomo
Böhnke, Ronald
Xu, Wen
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_04942
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Achieving Gaussian Vector Broadcast Channel Capacity with Scalar Lattices
Şener, M. Yusuf
Kramer, Gerhard
Shamai, Shlomo
Böhnke, Ronald
Xu, Wen
Information Theory
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.
title Achieving Gaussian Vector Broadcast Channel Capacity with Scalar Lattices
topic Information Theory
url https://arxiv.org/abs/2402.04942