Achievable rates of coded linear systems with iterative MMSE detection

Xiaojun Yuan; Li Ping

doi:10.1109/GLOCOM.2009.5426229

Achievable rates of coded linear systems with iterative MMSE detection

Xiaojun Yuan
, Li Ping

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

8 Citations (Scopus)

Abstract

We extend the area property to more general linear channel models (including inter-symbol-interference (ISI) and multiple-input multiple-output (MIMO) systems) with arbitrary input constellations. We show that the theoretical limit of a channel (i.e., the mutual information) can be achieved under some assumptions. Several engineering techniques are examined to ensure these assumptions. It is shown that the required assumptions can be approximately materialized using superposition coded modulation (SCM) and a precoding technique.

Original language	English
Title of host publication	GLOBECOM - IEEE Global Telecommunications Conference
DOIs	https://doi.org/10.1109/GLOCOM.2009.5426229
Publication status	Published - 2009
Event	2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 - Honolulu, HI, United States Duration: 30 Nov 2009 → 4 Dec 2009

Conference

Conference	2009 IEEE Global Telecommunications Conference, GLOBECOM 2009
Place	United States
City	Honolulu, HI
Period	30/11/09 → 4/12/09

Research Keywords

Area property
Iterative minimum-mean-square-error (MMSE) detection
Linear MMSE estimation
SCM
Water-filling precoding

Access Output

10.1109/GLOCOM.2009.5426229

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{85196e2578d642a6a44593753758018e,

title = "Achievable rates of coded linear systems with iterative MMSE detection",

abstract = "We extend the area property to more general linear channel models (including inter-symbol-interference (ISI) and multiple-input multiple-output (MIMO) systems) with arbitrary input constellations. We show that the theoretical limit of a channel (i.e., the mutual information) can be achieved under some assumptions. Several engineering techniques are examined to ensure these assumptions. It is shown that the required assumptions can be approximately materialized using superposition coded modulation (SCM) and a precoding technique.",

keywords = "Area property, Iterative minimum-mean-square-error (MMSE) detection, Linear MMSE estimation, SCM, Water-filling precoding",

author = "Xiaojun Yuan and Li Ping",

year = "2009",

doi = "10.1109/GLOCOM.2009.5426229",

language = "English",

isbn = "9781424441488",

booktitle = "GLOBECOM - IEEE Global Telecommunications Conference",

note = "2009 IEEE Global Telecommunications Conference, GLOBECOM 2009 ; Conference date: 30-11-2009 Through 04-12-2009",

}

TY - GEN

T1 - Achievable rates of coded linear systems with iterative MMSE detection

AU - Yuan, Xiaojun

AU - Ping, Li

PY - 2009

Y1 - 2009

N2 - We extend the area property to more general linear channel models (including inter-symbol-interference (ISI) and multiple-input multiple-output (MIMO) systems) with arbitrary input constellations. We show that the theoretical limit of a channel (i.e., the mutual information) can be achieved under some assumptions. Several engineering techniques are examined to ensure these assumptions. It is shown that the required assumptions can be approximately materialized using superposition coded modulation (SCM) and a precoding technique.

AB - We extend the area property to more general linear channel models (including inter-symbol-interference (ISI) and multiple-input multiple-output (MIMO) systems) with arbitrary input constellations. We show that the theoretical limit of a channel (i.e., the mutual information) can be achieved under some assumptions. Several engineering techniques are examined to ensure these assumptions. It is shown that the required assumptions can be approximately materialized using superposition coded modulation (SCM) and a precoding technique.

KW - Area property

KW - Iterative minimum-mean-square-error (MMSE) detection

KW - Linear MMSE estimation

KW - SCM

KW - Water-filling precoding

UR - https://www.scopus.com/pages/publications/77951577092

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-77951577092&origin=recordpage

U2 - 10.1109/GLOCOM.2009.5426229

DO - 10.1109/GLOCOM.2009.5426229

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424441488

BT - GLOBECOM - IEEE Global Telecommunications Conference

T2 - 2009 IEEE Global Telecommunications Conference, GLOBECOM 2009

Y2 - 30 November 2009 through 4 December 2009

ER -

Achievable rates of coded linear systems with iterative MMSE detection

Abstract

Conference

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this