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Precoder Design for Multiuser MISO Systems Exploiting Statistical and Outdated CSIT

J. Wang ; Michail Matthaiou (Institutionen för signaler och system, Signalbehandling) ; S. Jin ; X. Q. Gao
Ieee Transactions on Communications (0090-6778). Vol. 61 (2013), 11, p. 4551-4564.
[Artikel, refereegranskad vetenskaplig]

We propose a multiuser downlink transmission scheme exploiting both statistical and outdated channel state information (CSI) at the transmitter. Based on the outdated CSI-aided transmission scheme introduced in [1] (denoted as MAT), the proposed scheme reduces the original K-user MAT system to a two-user virtual MAT system,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.

Nyckelord: Broadcast channel, correlation, multiple-input single-output (MISO), outdated channel state information (CSI), precoding, CORRELATED MIMO CHANNELS, BROADCAST CHANNELS, ERGODIC CAPACITY, LIMITED, FEEDBACK, ANTENNA SYSTEMS, DIRTY-PAPER, DIAGONALIZATION, TRANSMISSION, FREEDOM, MODEL

Denna post skapades 2014-03-20. Senast ändrad 2016-08-22.
CPL Pubid: 195344


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Institutionen för signaler och system, Signalbehandling



Chalmers infrastruktur