NDLI: Predicting SINR conditions in mobile MIMO-OFDM systems by interpolation techniques

Content Provider	IEEE Xplore Digital Library
Author	Schellmann, M. Thiele, L. Jungnickel, V.
Copyright Year	2008
Description	Author affiliation: Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Berlin (Schellmann, M.; Thiele, L.; Jungnickel, V.)
Abstract	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 a limited prediction interval depending on the receive antenna spacing, the technique significantly diminishes potential SINR losses.
Starting Page	1020
Ending Page	1024
File Size	237793
Page Count	5
File Format	PDF
ISBN	9781424429400
ISSN	10586393
DOI	10.1109/ACSSC.2008.5074566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Interpolation Resource management MIMO Radio network Feedback Base stations Delay Degradation Receiving antennas
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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