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Predicting SINR conditions in mobile MIMO-OFDM systems by interpolation techniques
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Channel adaptive transmission in multi-user MIMO systems is seen as a promising concept to achieve high spectral efficiencies in future radio networks: Based on feedback on actual channel conditions, the base station allocates transmission resources to the user terminals where they can support high data rates. However, due to the delay between evaluation of the channels at the terminals and application of the resource allocation decision, the concept operates conveniently only under quasi-static channel conditions. In case user terminals are moving, the channel may vary and thus the adaptive concept may suffer strong performance degradations. For a channel-adaptive transmission concept based on evaluation of SINR conditions, we propose a solution to predict future SINR conditions based on channel interpolation techniques. For prediction intervals smaller than the coherence time of the channel, the technique is shown to yield convenient quality of SINR values, which significantly contributes to the mitigation of performance degradations.
- Multi-antenna Systems
- Multi-carrier Systems
- Signal Processing
@inproceedings{STJ08psci,
author = "Malte Schellmann and Lars Thiele and Volker Jungnickel",
title = "{Predicting SINR conditions in mobile MIMO-OFDM systems by interpolation techniques}",
booktitle = "{42nd Asilomar Conference on Signals, Systems and Computers}",
address = "Monterey, USA",
month = oct,
year = "2008",
}
Last modified 28.03.2011 16:33
Fokusseminar 02.11.2012
