Superposition coded modulation and iterative linear MMSE detection

Author

Ping, Li ; Tong, Jun ; Yuan, Xiaojun ; Guo, Qinghua

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, China

Volume

27

Issue

6

fYear

2009

fDate

8/1/2009 12:00:00 AM

Firstpage

995

Lastpage

1004

Abstract

We study superposition coded modulation (SCM) with iterative linear minimum-mean-square-error (LMMSE) detection. We show that SCM offers an attractive solution for highly complicated transmission environments with severe interference. We analyze the impact of signaling schemes on the performance of iterative LMMSE detection. We prove that among all possible signaling methods, SCM maximizes the output signal-to-noise/ interference ratio (SNIR) in the LMMSE estimates during iterative detection. Numerical examples are used to demonstrate that SCM outperforms other signaling methods when iterative LMMSE detection is applied to multi-user/multi-antenna/multipath channels.

Keywords

iterative methods; least mean squares methods; modulation coding; multipath channels; multiuser channels; numerical analysis; signal detection; iterative linear MMSE detection; minimum mean square error detection; multiantenna channel; multipath channel; multiuser channel; numerical examples; signal-to-noise-interference ratio; signaling schemes; superposition coded modulation; AWGN; Additive white noise; Constellation diagram; Interference; Iterative decoding; Iterative methods; Mean square error methods; Modulation coding; Multipath channels; Parity check codes; Iterative detection, minimum mean square error (MMSE), superposition coded modulation (SCM).;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/JSAC.2009.090817

Filename

5174528