Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Linear Precoder Design for MIMO-ISI Broadcasting Channels under Channel Shortening Detection

Hu, Sha LU ; Gao, Xiang LU and Rusek, Fredrik LU (2016) In IEEE Signal Processing Letters 23(9). p.1207-1211
Abstract
We consider optimal precoder design for multi-user multiple-input multiple-output (MIMO) broadcasting channels in single-carrier (SC) systems. Instead of linear detection, we assume that advanced non-linear channel shortening (CS) detectors are utilized at the receivers. Such a scenario is challenging for precoder design as the uplink-downlink duality is inapplicable. The target of our linear precoder design is to maximize the sum of the achievable information rate (sum-AIR), with AIR of each user being explicitly derived. We analyze such a precoder design in general, and provide an efficient per-user based optimization algorithm for the design of block-diagonalization precoder.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Signal Processing Letters
volume
23
issue
9
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:84985020900
  • wos:000381454400012
ISSN
1070-9908
DOI
10.1109/LSP.2016.2592968
language
English
LU publication?
yes
id
54b0e26d-c412-40dd-af1b-bc647e91f899
date added to LUP
2016-07-20 05:49:32
date last changed
2022-03-16 07:22:01
@article{54b0e26d-c412-40dd-af1b-bc647e91f899,
  abstract     = {{We consider optimal precoder design for multi-user multiple-input multiple-output (MIMO) broadcasting channels in single-carrier (SC) systems. Instead of linear detection, we assume that advanced non-linear channel shortening (CS) detectors are utilized at the receivers. Such a scenario is challenging for precoder design as the uplink-downlink duality is inapplicable. The target of our linear precoder design is to maximize the sum of the achievable information rate (sum-AIR), with AIR of each user being explicitly derived. We analyze such a precoder design in general, and provide an efficient per-user based optimization algorithm for the design of block-diagonalization precoder.}},
  author       = {{Hu, Sha and Gao, Xiang and Rusek, Fredrik}},
  issn         = {{1070-9908}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{1207--1211}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Signal Processing Letters}},
  title        = {{Linear Precoder Design for MIMO-ISI Broadcasting Channels under Channel Shortening Detection}},
  url          = {{http://dx.doi.org/10.1109/LSP.2016.2592968}},
  doi          = {{10.1109/LSP.2016.2592968}},
  volume       = {{23}},
  year         = {{2016}},
}