JOURNAL ARTICLE

Improved Lattice Reduction-Aided MIMO Successive Interference Cancellation Under Imperfect Channel Estimation

Jaehyun ParkJoohwan Chun

Year: 2012 Journal:   IEEE Transactions on Signal Processing Vol: 60 (6)Pages: 3346-3351   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Lattice reduction (LR) and successive interference cancellation (SIC) are two well-known techniques that can be used to improve detection performance over linear detectors for multiple-input multiple-output (MIMO) systems. However, the LR technique and the SIC technique usually need perfect knowledge on the channel at the receiver, and the use of these techniques with an erroneous channel matrix even worsens the detection performance compared to linear detectors. In this correspondence, we shall show how to modify these techniques to make them robust under imperfect channel estimation. Information needed for the proposed algorithm is moderate; the variance of channel estimation error is the only requirement. Furthermore, our algorithm is not sensitive to the error in the variance of channel estimation error.

Keywords:
Single antenna interference cancellation Lattice reduction MIMO Algorithm Channel (broadcasting) Computer science Detector Reduction (mathematics) Imperfect Control theory (sociology) Mathematics Telecommunications Decoding methods Artificial intelligence

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13
Cited By
1.75
FWCI (Field Weighted Citation Impact)
25
Refs
0.88
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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