A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy

XIE Xianzhong; LI Dan; ZHANG Senlin; LEI Weijia

doi:10.11999/JEIT160103

Volume 38 Issue 9

Sep. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(9): 2241-2247

XIE Xianzhong, LI Dan, ZHANG Senlin, LEI Weijia. A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103

Citation:

XIE Xianzhong, LI Dan, ZHANG Senlin, LEI Weijia. A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy[J]. Journal of Electronics & Information Technology, 2016, 38(9): 2241-2247. doi: 10.11999/JEIT160103

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A Robust Interference Alignment Algorithm Based on Maximizing the Rayleigh Entropy

doi: 10.11999/JEIT160103

Funds:

The National Natural Science Foundation of China (61271259, 61471076), The Research Project of Chongqing Education Commission (KJ120501, KJ130536), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Special Fund of Chongqing Key Laboratory (CSTC)

Received Date: 2016-01-21
Rev Recd Date: 2016-06-08
Publish Date: 2016-09-19

Abstract

Abstract

Interference alignment has the advantage of eliminating interference, but it needs the perfect Channel State Information (CSI) which is difficult to achieve in practical systems. The advantages and disadvantages of robust interference alignment algorithms are analyzed in this paper. And then a robust interference alignment algorithm based on maximizing the Rayleigh entropy is proposed. The convergence, the degree of freedom and spectrum efficiency are analyzed at the same time. Unlike MAX-SINR algorithm, interference suppression matrix is obtained through maximizing the signal Rayleigh entropy. The unitary form of original interference suppression matrix is regarded as the optimal interference suppression matrix considering the correlation among the data flows. And then, the water-filling power allocation scheme is used to realize the optimal power allocation among user data flows. Meanwhile, the similar process is carried out in reverse communication link based on channel reciprocity. The interference is reduced gradually through alternately computing. Finally, under the conditions of perfect CSI and error CSI, the simulation results verify that the proposed algorithm improves the performance of the system.
- Wireless communication,
- Robust interference alignment,
- Maximizing the Rayleigh entropy,
- Water-filling power allocation,
- Performance of system

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References(22)

References

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