NDLI: Improved adaptive MMSE detector for downlink multi-cell MIMO signals

Content Provider	IEEE Xplore Digital Library
Author	Huiqiang Zhou Shidong Zhou
Copyright Year	2004
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., China (Huiqiang Zhou; Shidong Zhou)
Abstract	MIMO communication in the multi-cell has some differences to the MIMO based on point to point. In the multi-cell MIMO downlink environment, if all cells share the same frequency band, the mobile station (MS) that is near the boundary between cells will receive the adjacent cells' interference. If the interference is disposed as Gaussian white noise by the detector and the received signal is detected by the linear MMSE algorithm, it must result in performance impairment. So the design of the detector must consider the interference of the adjacent cells besides the interference with multi-antennas of the intra-cell. But generally the mobile station cannot get the MIMO channel state information (CSI) in the adjacent cells. In this paper, we propose a partial zero-forcing (ZF) adaptive minimum mean square error (MMSE) detector with training data. This detector first removes the interference between multi-antennas within the local cell by using the ZF linear filter; the residual inter-cell interference can be greatly reduced by the adaptive MMSE filter vector. Compared with the conventional adaptive MMSE detector and linear MMSE detector, this proposed detector can speed up the convergence of adaptive filter weights and gain improved performance.
Starting Page	3733
Ending Page	3737
File Size	177568
Page Count	5
File Format	PDF
ISBN	0780385217
ISSN	10903038
DOI	10.1109/VETECF.2004.1404762
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Huiqiang Zhou Shidong Zhou Downlink MIMO Interference Adaptive filters Nonlinear filters Mobile communication Frequency White noise
Content Type	Text
Resource Type	Article

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