Precoder Design for Multiuser MISO Systems Exploiting Statistical and Outdated CSIT
Journal article, 2013

We propose a multiuser downlink transmission scheme exploiting both statistical and outdated channel state information (CSI) at the transmitter. Based on the outdated CSI-aided transmission scheme introduced in [1] (denoted as MAT), the proposed scheme reduces the original K-user MAT system to a two-user virtual MAT system, through statistical precoding in the first two transmission slots. Thus, the proposed scheme (denoted as V-MAT) reduces efficiently the implementation complexity, while increasing the achievable rate at finite signal-to-noise ratios (SNRs). For the V-MAT scheme, we derive an analytical high SNR rate approximation for correlated Rayleigh fading. Furthermore, for independent and identically distributed Rayleigh fading, we derive an exact rate expression at high SNRs, as well as a tight lower bound which applies for arbitrary SNRs. Then, precoder design is investigated, where an efficient near-optimal solution is proposed for arbitrary number of transmit antennas, and a closed-form optimal solution is derived for the two-antenna case. It is demonstrated that the proposed V-MAT scheme yields higher achievable rate than the original MAT scheme at practical SNRs. Moreover, by combining the V-MAT scheme and the generalized MAT scheme of [2], where precoding is implemented in the third transmission slot, the achievable rate can be further increased.

Broadcast channel

precoding

CORRELATED MIMO CHANNELS

ERGODIC CAPACITY

LIMITED

DIAGONALIZATION

correlation

ANTENNA SYSTEMS

FREEDOM

TRANSMISSION

multiple-input single-output (MISO)

outdated channel state information (CSI)

DIRTY-PAPER

BROADCAST CHANNELS

FEEDBACK

MODEL

Author

J. Wang

Southeast University

Michail Matthaiou

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

S. Jin

Southeast University

X. Gao

Southeast University

IEEE Transactions on Communications

0090-6778 (ISSN) 15580857 (eISSN)

Vol. 61 11 4551-4564 6612631

Subject Categories

Telecommunications

DOI

10.1109/tcomm.2013.091813.120874

More information

Latest update

4/5/2022 6