Abstract: Interference alignment for a multiple-input multiple-output communications network with partial connectivity is provided. A method is provided that includes determining assignments for data streams transmitted in the multiple-input multiple-output communications network. The method also includes suppressing inter-cell interference and suppressing intra-cell interference. Also provided is inter-cell/intra-cell decomposition and exploitation of partial connectivity in a multiple-input multiple-output communications network. The multiple-input multiple-output communications network can comprise three or more cells.

Abstract: Channel state information (CSI) is reduced for a multi input multi output (MIMO) channel, in which feeding back a part of the CSI matrix is sufficient to align interference in a MIMO network. A feedback dimension quantifies a cost of the CSI feedback of the interference in the MIMO network. A feedback profile is determined that achieves a tradeoff between degrees of freedom, antenna resources and the cost of the feedback. The feedback profile parameterizes a feedback function, which determines how the CSI matrices are fed back to the transmitter. The precoders of the network are adaptive to only the partial CSI knowledge at the transmitter.

Abstract: Systems, methods, and apparatus are described that employ specially designed interference patterns to build an in-band side channel without degrading the effective throughput of the main channel. Transmitter and receiver pairs implement a two-stage dynamic interference mitigation scheme based on the partial connections in limited dimension MIMO interference channels. The first stage determines the stream assignments and the subspace constraints for beamforming vectors and zero-forcing vectors based on the partially connected topology such as the path loss, shadowing and spatial correlation. The second stage determines the beamforming vectors and the zero-forcing vectors based on the instantaneous channel state information over the subspaces obtained from the first stage. In an aspect, a controller device implements the first and second stage and assigns the transmitter and receiver pairs to perform interference alignment using the stream assignments and beamforming and zero-forcing vectors respectively.

Abstract: Channel state information (CSI) is reduced for a multi input multi output (MIMO) channel, in which feeding back a part of the CSI matrix is sufficient to align interference in a MIMO network. A feedback dimension quantifies a cost of the CSI feedback of the interference in the MIMO network. A feedback profile is determined that achieves a tradeoff between degrees of freedom, antenna resources and the cost of the feedback. The feedback profile parameterizes a feedback function, which determines how the CSI matrices are fed back to the transmitter. The precoders of the network are adaptive to only the partial CSI knowledge at the transmitter.

Abstract: Interference alignment for a multiple-input multiple-output communications network with partial connectivity is provided. A method is provided that includes determining assignments for data streams transmitted in the multiple-input multiple-output communications network. The method also includes suppressing inter-cell interference and suppressing intra-cell interference. Also provided is inter-cell/intra-cell decomposition and exploitation of partial connectivity in a multiple-input multiple-output communications network. The multiple-input multiple-output communications network can comprise three or more cells.

Abstract: Systems, methods, and apparatus are described that employ specially designed interference patterns to build an in-band side channel without degrading the effective throughput of the main channel. Transmitter and receiver pairs implement a two-stage dynamic interference mitigation scheme based on the partial connections in limited dimension MIMO interference channels. The first stage determines the stream assignments and the subspace constraints for beamforming vectors and zero-forcing vectors based on the partially connected topology such as the path loss, shadowing and spatial correlation. The second stage determines the beamforming vectors and the zero-forcing vectors based on the instantaneous channel state information over the subspaces obtained from the first stage. In an aspect, a controller device implements the first and second stage and assigns the transmitter and receiver pairs to perform interference alignment using the stream assignments and beamforming and zero-forcing vectors respectively.