In this work we exploit the selection diversity to improve the performance of multi user (MU) interference alignment (IA) based transmit precoding in downlink ...
Abstract—Spectral efficiency of a multi user MIMO system can be enhanced using user selection diversity. In this work we exploit the selection diversity to ...
Performance Enhancement of Multi User Multi Cell Interference Alignment with Pair Selection. Danish Aziz, Mustansir Mazhar, Andreas Weber.
Performance Enhancement of Multi User Multi Cell ... - dblp
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Bibliographic details on Performance Enhancement of Multi User Multi Cell Interference Alignment with Pair Selection.
We study precoder optimization gains and multiuser diversity gains with interference alignment in a two-cell wireless network. In this paper, we propose ...
Missing: Enhancement | Show results with:Enhancement
The proposed multi-macrocell IA algorithm improves the performance of SUEs while maintaining that of MUEs compared with others' previous work in single- ...
Missing: Enhancement | Show results with:Enhancement
Generally, in multiuser systems, the multiple user's signals get interfered each other and these signals need to be classified at the receiver appropriately.
Feb 3, 2014 · Abstract—In this paper, we address the problem of interference alignment (IA) over MIMO interference channels with limited.
May 1, 2015 · The analytical results show that diversity order of the IA system with user selection is superior to that of the conventional iterative ...
Interference alignment (IA): The basic principle of IA is based on aligning the interference on a signal subspace with respect to the nonintended receiver, ...