Abstract: A method for implementing co-polarized feedback for frequency domain compression is disclosed. The method includes feeding back compressed channel state information, wherein at least one layer is restricted to be transmitted on one polarization and the feedback for the at least one layer only involves the channel state information on the one polarization.

Abstract: In accordance with an example embodiment of the present invention, a method comprising: selecting, by a user equipment, a subset of linear combination coefficients from a linearized two-dimensional matrix having columns of frequency domain components and rows of spatial beams components for channel state information determination, wherein the number of linear combination coefficients in the subset is less than all of the linear combination coefficients; determining indication comprising information associated with column indices of the selected subset of linear combination coefficients from the linearized two-dimensional matrix, wherein the indication excludes the index of the column with lowest index of the linearized two-dimensional matrix; determining compressed channel state information comprising locations in the linearized two-dimensional matrix of the subset of linear combination coefficients and corresponding values of the linear combination coefficients at those locations; and reporting, from the use

Abstract: The invention relates to a device for a radio communications system, the device including: a processing unit; a memory unit; and a transceiver including a transmitter provided with a power amplifier; wherein said device is configurable to: send a request to a base station of said communications system for permission of transmission of one or more data symbols, the one or more data symbols being amplified with the power amplifier in an overdrive regime; receive a grant for such transmission; amplify the one or more data symbols with the power amplifier of the transmitter in the overdrive regime; and transmit the one or more data symbols to the base station.

Abstract: A method includes determining a number of polarizations. The method also includes determining a number of receive antennas that have a same polarization, determining a total number of receive antennas based on the number of polarizations and the number of receive antennas that have the same polarization; and applying singular value decomposition precoding on all the receive antennas with the same polarization.

Abstract: A receiver unit comprising a signal input configured to receive a receive signal including a plurality of data symbols, a symbol detection circuit configured to detect a subset of data symbols, a reliability measuring circuit configured to determine a reliability value for the data symbols, a feedback loop configured to detect the subset of data symbols and the reliability value iteratively, and a signal output circuitry configured to determine output values of the subset of data symbols on the basis of the detected subset of data symbols and the determined reliability value.

Abstract: A receiver unit comprising a signal input configured to receive a receive signal including a plurality of data symbols, a symbol detection circuit configured to detect a subset of data symbols, a reliability measuring circuit configured to determine a reliability value for the data symbols, a feedback loop configured to detect the subset of data symbols and the reliability value iteratively, and a signal output circuitry configured to determine output values of the subset of data symbols on the basis of the detected subset of data symbols and the determined reliability value.

Abstract: A receiver apparatus receives a transmit signal through a plurality of transmission channels, wherein each transmission channel is described by its channel vector. A sparseness evaluation unit (127) may obtain a sparseness measure containing sparseness information for previously estimated frequency-domain channel vectors. From the plurality of receive signals, an estimator unit (120) estimates updated channel vectors for the transmission channels by applying an iterative blind channel estimation algorithm that may consider a change of the sparseness measure, out-of-band energy information and/or signal-to-noise information and cross-relations between pairs of receive signals. A combining unit (130) may combine the receive signals on the basis of combining coefficients derived from the estimated channel impulse responses for a pre-selected diversity combining scheme to obtain a combined receive signal representing an estimation of the transmit signal.