Title :
MMSE-optimal training sequences for spectrally-efficient Multi-User MIMO-OFDM systems
Author :
Yuejie Chi ; Gomaa, Ahmad ; Al-Dhahir, Naofal ; Calderbank, Robert
Author_Institution :
Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
fDate :
Aug. 29 2011-Sept. 2 2011
Abstract :
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.
Keywords :
MIMO communication; OFDM modulation; channel estimation; least mean squares methods; multi-access systems; MMSE-optimal training sequences; QPSK; mean-square channel estimation error; spatial processing; spectrally-efficient multiuser MIMO-OFDM systems; standard signal constellations; transmit antennas; uplink transmission scenarios; Channel estimation; Manganese; Peak to average power ratio; Standards; Training; Transmitting antennas;
Conference_Titel :
Signal Processing Conference, 2011 19th European
Conference_Location :
Barcelona
