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• W1986396466 abstract "In this paper, we analyze a multiple-input multiple-output (MIMO) interference channel where nodes are randomly distributed on a plane as a spatial Poisson cluster point process. A Poisson cluster point process consists of clusters with fixed number of points randomly distributed as with the cluster centers distributed randomly on the plane. The nodes in each cluster use interference alignment (IA) to suppress intra-cluster interference but unlike most work on IA, we do not neglect inter-cluster interference. We also connect the accuracy of channel state information to the distance between the nodes, i.e., the quality of CSI degrades with increasing distance. Accounting for the training and feedback overhead, we derive the transmission capacity of this MIMO IA ad hoc network and then compare it to open-loop (interference-blind) spatial multiplexing. Finally, we present exemplary system setups where spatial multiplexing outperforms IA due to the imperfect channel state information or the non-aligned inter-cluster interference." @default.
• W1986396466 created "2016-06-24" @default.
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• W1986396466 date "2013-12-01" @default.
• W1986396466 modified "2023-09-27" @default.
• W1986396466 title "MIMO Interference Alignment in Random Access Networks" @default.
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• W1986396466 doi "https://doi.org/10.1109/tcomm.2013.111213.120518" @default.
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