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Content Provider | IEEE Xplore Digital Library |
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Author | Salvo Rossi, P. Hammarberg, P. Tufvesson, F. Edfors, O. Almers, P. Kolmonen, V.-M. Koivunen, J. Haneda, K. Muller, R.R. |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway (Salvo Rossi, P.; Muller, R.R.) |
Abstract | This paper aims at validation of an iterative receiver for multiple-input multiple-output with orthogonal frequency division multiplexing (MIMO-OFDM) systems using real-measurement channel data from an indoor scenario. The receiver performs iterative multi-user detection (MUD) and Channel Estimation (CE) via soft information from the single- user decoders. The channel measurements were performed for a dynamic dual MIMO link scenario. The case with two users with multiple antennas interfering each other is considered. CE at the receiver exploits the frequency correlation of the MIMO link. Simulation results for the performance are shown in terms of bit- error rate (BER) vs. signal-to-noise ratio (SNR). Performance for the whole system are provided and compared with respect to the case of perfect channel-state information (PCSI) at the receiver, as well as for the single user. We also provide an analysis of BER with respect to signal-to-interference ratio (SIR). CE performance are evaluated in terms of normalized mean square error (NMSE). |
Starting Page | 1 |
Ending Page | 5 |
File Size | 262470 |
Page Count | 5 |
File Format | |
ISBN | 9781424423248 |
ISSN | 1930529X |
DOI | 10.1109/GLOCOM.2008.ECP.857 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-11-30 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | MIMO Multiuser detection Bit error rate OFDM Channel estimation Iterative decoding Antenna measurements Performance evaluation Frequency Error analysis |
Content Type | Text |
Resource Type | Article |
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