Abstract: A method of updating spatial filters in a radio network comprising at least two transmit nodes each in radio communication with at least one receive node on a Multiple-Input Multiple-Output (MIMO) radio channel, comprises transmitting, from the respective transmit node, first reference signals precoded by a first spatial filter of the respective transmit node; and receiving, from the receive nodes, second reference signals that are precoded using a second spatial filter of the respective receive node and an error matrix of the respective receive node. The second spatial filter depends on a channel estimate based on the transmitted first reference signals. The error matrix is indicative of an error of the first and second spatial filters in equalizing the MIMO radio channel.

Abstract: A method of updating spatial filters in a radio network comprising at least two transmit nodes each in radio communication with at least one receive node on a Multiple-Input Multiple-Output (MIMO) radio channel, comprises transmitting, from the respective transmit node, first reference signals precoded by a first spatial filter of the respective transmit node; and receiving, from the receive nodes, second reference signals that are precoded using a second spatial filter of the respective receive node and an error matrix of the respective receive node. The second spatial filter depends on a channel estimate based on the transmitted first reference signals. The error matrix is indicative of an error of the first and second spatial filters in equalizing the MIMO radio channel.

Abstract: In MU-MIMO scenarios, uncoordinated or external interference may be very significant. Such external interference can degrade the system performance as much as the internal interference. To address these problems, a desired signal subspace can be changed to avoid the external interference as much as possible. This technique can be applied in conjunction with systems that already cancel internal interference, such as Interference Alignment and Joint Processing. An original signal space may be broken down to desired and interference subspaces that are orthogonal to each other. The receiver can notify the transmitter of the boundary, and transmitter in turn can project the transmitted signal to fall into the desired subspace. The receiver can project the received signal into the desired subspace, which cancels everything not contained in the desired subspace.

Abstract: In MU-MIMO scenarios, uncoordinated or external interference may be very significant. Such external interference can degrade the system performance as much as the internal interference. To address these problems, a desired signal subspace can be changed to avoid the external interference as much as possible. This technique can be applied in conjunction with systems that already cancel internal interference, such as Interference Alignment and Joint Processing. An original signal space may be broken down to desired and interference subspaces that are orthogonal to each other. The receiver can notify the transmitter of the boundary, and transmitter in turn can project the transmitted signal to fall into the desired subspace. The receiver can project the received signal into the desired subspace, which cancels everything not contained in the desired subspace.