@inproceedings{776547fd76504b3493749b902284ed9d,
title = "Joint power allocation and MMSE equalizer designs for MIMO distributed relay networks",
abstract = "In this paper, we jointly investigate the power allocation and the equalizer weights for multiple relay nodes in a distributed relay network where each node is equipped with multiple antennas. Based on the minimum mean-square error (MSE) criterion and under the total equalizer power constraint, multi-input multi-output (MIMO) equalizers are designed for equalizing-and- forwarding the signals from the source to the destination in the time domain. An iterative algorithm is proposed to obtain the optimal solution by using the Karush-Kuhn-Tucker (K.K.T.) conditions. With these optimal MIMO equalizers, the MIMO distributed relay network can effectively mitigate the inter-symbol interference (ISI) and achieve both the spatial and multipath diversity gains. Simulation results show that the proposed scheme outperforms the conventional one-tap equalizer scheme for MIMO distributed relay systems in terms of the bit error rate (BER) performance.",
keywords = "Multiple-input multiple-output (MIMO) relay networks, equalization, minimum mean-squared error (MMSE), multipath fading channels",
author = "Keshav Singh and Ku, {Meng Lin}",
year = "2012",
doi = "10.1109/ITST.2012.6425250",
language = "???core.languages.en_GB???",
isbn = "9781467330701",
series = "2012 12th International Conference on ITS Telecommunications, ITST 2012",
pages = "599--604",
booktitle = "2012 12th International Conference on ITS Telecommunications, ITST 2012",
note = "2012 12th International Conference on ITS Telecommunications, ITST 2012 ; Conference date: 05-11-2012 Through 08-11-2012",
}