@inproceedings{66e45836dd2e4177b14c463e425acdf0,
title = "On the design of interference alignment scheme for multi-user MIMO with limited feedback",
abstract = "Obtaining accurate global channel state information (CSI) is critical for interference alignment (IA), in particular for multiple-input multiple-output (MIMO) system with high dimensional space. With limited feedback, a quantization approach is proposed with manageable complexity to quantize the vectors from channel matrices separately. By characterizing the rate loss and bit scaling requirement we further show how the amount of feedback bits affects the numbers of transmit/receive antennas that should be used. Simulations illustrate with this quantization approach the system can attain considerable rate improvement with large number of feedback bits and optimal numbers of transmit/receive antennas.",
keywords = "antenna selection, Interference alignment, limited feedback, matrix quantization",
author = "Yuxian Zhang and Cheng, \{Roger S.\}",
year = "2013",
doi = "10.1109/ICC.2013.6655493",
language = "English",
isbn = "9781467331227",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5646--5650",
booktitle = "2013 IEEE International Conference on Communications, ICC 2013",
note = "2013 IEEE International Conference on Communications, ICC 2013 ; Conference date: 09-06-2013 Through 13-06-2013",
}