Semi-analytical performance prediction method for iterative MMSE-IC detection and semi-blind channel estimation

Baozhu Ning , Raphaël Visoz (1) , Antoine O. Berthet (2)

1 FT - France Télécom, Division R&D, Issy Les Moulineaux
2 E3S - Supélec Sciences des Systèmes

In this paper, a novel semi-analytical performance prediction method is proposed for iterative MMSE-IC detection and semi-blind channel estimation. It is examplified in the context of single-user MIMO-OFDM transmission which we model by a discrete-input MIMO P-block fading flat Rayleigh channel in the frequency domain. The proposed method extends existing symbolwise Mutual Information Effective SNR Metric (MIESM) link-to system approach to the context of imperfect channel state information and semi-blind channel estimation at the receiver side. It allows to compute the average Block Error Rate (BLER) conditional on an initial pilot-assisted channel estimation and long term channel distribution information. Thus, the proposed method takes advantage of all the available a priori information before actual data transmission and could be equally employed for slow and fast link adaptation.

Domaines: Théorie de l'information et codage [math.IT]; Théorie de l'information [cs.IT]

Baozhu Ning, Raphaël Visoz, Antoine O. Berthet. Semi-analytical performance prediction method for iterative MMSE-IC detection and semi-blind channel estimation. IEEE VTC2011-Spring, May 2011, Budapest, Hungary. pp.1 - 5, ⟨10.1109/VETECS.2011.5956353⟩. ⟨hal-00636588⟩