Inter‐cell interference mitigation based on joint beamforming |
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| Authors: | Xu Li Huarui Yin Ying Xu Guo Wei |
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| Affiliation: | 1. Wireless Information Network Laboratory, Department of Electrical Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui 230027, China;2. Central Engineering Division, Marvell Semiconductor Inc., Santa Clara, CA 95054, USA |
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| Abstract: | In cellular networks, global channel state information (CSI) shall be shared among neighboring cells to mitigate various inter‐cell interference (ICI). In this paper, we propose that comparable ICI is mitigated while weak ICI is treated as noise. The amount of shared CSI is highly reduced, because of that only the CSI corresponding to comparable ICI is shared among neighboring cells. In the case of single user equipment in each cell, a joint singular value decomposition and interference alignment method is proposed along with the analysis of its approximate sum rate. Some nodes select singular value decomposition method, while others choose interference alignment method. The method at each node is determined by global selection principle or user classification principle. In the case of multiple UEs in each cell, all nodes utilize minimum mean square error method, but ICI is neglected at cell center users. Copyright © 2014 John Wiley & Sons, Ltd. |
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| Keywords: | inter‐cell interference joint beamforming singular value decomposition interference alignment minimum mean square error |
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