Skip to main content

MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems

Publication ,  Journal Article
Chi, Y; Gomaa, A; Al-Dhahir, N; Calderbank, R
Published in: European Signal Processing Conference
December 1, 2011

This paper proposes a new family of optimal training sequences in terms of minimizing the mean-square channel estimation error for spectrally-efficient Multi-User MIMO-OFDM systems with an arbitrary number of transmit antennas and an arbitrary number of training symbols. It addresses uplink transmission scenarios where the users overlap in time and frequency and are separated using spatial processing at the base station. In particular, optimal training sequences can be obtained easily from standard signal constellations such as QPSK with desired low PAPR, making it appealing for practical use. © 2011 EURASIP.

Duke Scholars

Published In

European Signal Processing Conference

ISSN

2219-5491

Publication Date

December 1, 2011

Start / End Page

634 / 638
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chi, Y., Gomaa, A., Al-Dhahir, N., & Calderbank, R. (2011). MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems. European Signal Processing Conference, 634–638.
Chi, Y., A. Gomaa, N. Al-Dhahir, and R. Calderbank. “MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems.” European Signal Processing Conference, December 1, 2011, 634–38.
Chi Y, Gomaa A, Al-Dhahir N, Calderbank R. MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems. European Signal Processing Conference. 2011 Dec 1;634–8.
Chi, Y., et al. “MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems.” European Signal Processing Conference, Dec. 2011, pp. 634–38.
Chi Y, Gomaa A, Al-Dhahir N, Calderbank R. MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems. European Signal Processing Conference. 2011 Dec 1;634–638.

Published In

European Signal Processing Conference

ISSN

2219-5491

Publication Date

December 1, 2011

Start / End Page

634 / 638