Iterative Channel Estimation with Robust Wiener Filtering in LTE Downlink

• Published in: 2008 IEEE 68th Vehicular Technology Conference pp. 1 - 5
• Main Authors: Ruiz de Temino, L.A.M., Navarro i Manchon, C., Rom, C., Sorensen, T.B., Mogensen, P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2008
• Subjects: Channel estimation; Complexity theory; Gain; Iterative decoding; OFDM; Phase shift keying; Signal to noise ratio
• ISBN: 142441721X; 9781424417216
• ISSN: 1090-3038; 2577-2465
• DOI: 10.1109/VETECF.2008.199

In this paper, an iterative enhancement of the robust Wiener filter (RWF) estimator is presented for a turbo-coded orthogonal frequency division multiplexing (OFDM) system under the umbrella of the 3GPP long term evolution. The proposed scheme can operate with uncoded or coded feedback, and outperforms the conventional linear RWF in the whole signal-to-noise ratio (SNR) range with both approaches. Results show that most of the gain is obtained in the first iteration of the algorithm, and better performance is achieved with the coded feedback scheme. A good tradeoff between accuracy and complexity is achieved by selecting a low number of turbo coding iterations (TCI) in the iterative loop and concentrating most of them at the final decoding stage. Following this design, cell spectral efficiency gains of around 2.7% and 6.5% can be obtained with respect to linear RWF for micro- and macro-cell scenarios respectively.