Disclosed herein is a method for generating transmitted signals. The method includes selecting a reference resource element (RE) from an RE group including a plurality of REs, generating a common precoder to be shared among the plurality of REs of the RE group based on channel information of the reference RE, generating primary signals, which are precoding signals of the plurality of REs, by applying the common precoder to transmitted data for the plurality of REs, and generating secondary signals by compensating for the primary signals of the REs except for the reference RE among the plurality of REs using channel information of the REs.

In a spatial modulation multiple-input-multiple-output (SM-MIMO) wireless communication system, multiple transmitting antennae and multiple receiving antennae may be utilized to respectively transmit and receive wireless signals for the communication. A selection of a combination of the multiple transmitting antennae may be configured to represent one or more binary digits in a signal sequence. The signal sequence may be produced at the receiving end without the knowledge of the selection of the combination of the multiple transmitting antennae.

An electronic device and method for signal detection in a wireless communication system is provided. The electronic device includes a receiving unit configured to receive a radio frequency (RF) signal, a control unit configured to process the received signal, wherein processing the received signal comprises canceling a signal corresponding to a first stage in the received signal, detecting a signal corresponding to a second stage by applying lattice reduction, and determining a final detected signal by combining the detected signal corresponding to the second stage with candidates of the signal corresponding to the first stage.

A method of estimating interference in a received signal is disclosed. The method includes receiving a plurality of subcarriers from a remote transmitter. Each of the subcarriers is multiplied by a control signal. At least two of the subcarriers are compared to produce a differential signal. Interference is estimated in response to the differential signal.

The present invention is directed to a MIMO equalization system and method, optimized for baud rate clock recovery in coherent symbol-spaced DP-QPSK Metro systems. According to this method, the Mueller & Muller timing function is extended to cope with controlled ISI induced signals, while decoupling between MIMO equalization and clock recovery loops, using a midpoint output of the equalizer for timing estimation, instead of its final output. At least a portion of controlled Inter-Symbol Interference (ISI) is kept intact and the controlled ISI is compensated by an MLSE, right after carrier timing synchronization.

Disclosed herein are a received signal processing method including selecting a reference resource element (RE) from an RE group including a plurality of REs, generating a common filter to be shared among the plurality of REs of the RE group based on channel information of the reference RE, detecting primary signals, from which channel influence is removed, of the plurality of REs by applying the common filter to received signals of the plurality of REs, and generating secondary signals by compensating for primary signals of REs except for the reference RE among the plurality of REs using channel information of the REs, and a multiple input multiple output (MIMO) receiver.

Disclosed herein is a method for generating transmitted signals. The method includes selecting a reference resource element (RE) from an RE group including a plurality of REs, generating a common precoder to be shared among the plurality of REs of the RE group based on channel information of the reference RE, generating primary signals, which are precoding signals of the plurality of REs, by applying the common precoder to transmitted data for the plurality of REs, and generating secondary signals by compensating for the primary signals of the REs except for the reference RE among the plurality of REs using channel information of the REs.

An equalizer for equalizing a composite signal originating from a given number of simultaneous data streams able to be received over a communication channel, on a given number of antennas, at one or more radio units, in a wireless communication system. The equalizer performs matrix operations when the number of receiving antennas associated with the composite signal is lower than the number of antennas supported by the equalizer. The channel matrix and the signal and interference covariance matrices are manipulated. The antenna dimension is increased, padding is then added and the transmitted signal vector is finally determined based on the altered matrices. A baseband processing unit, a method and a computer program are also claimed.

In a spatial modulation multiple-input-multiple-output (SM-MIMO) wireless communication system, multiple transmitting antennae and multiple receiving antennae may be utilized to respectively transmit and receive wireless signals for the communication. A selection of a combination of the multiple transmitting antennae may be configured to represent one or more binary digits in a signal sequence. The signal sequence may be produced at the receiving end without the knowledge of the selection of the combination of the multiple transmitting antennae.

Method and apparatus for providing an equalizer that achieves a given precision for non-invertible matrices. The equalizer receives a plurality of symbols of an uplink transmission in a wireless communication system and performs an equalization operation on the plurality of received symbols of uplink transmission, wherein the equalization operation requires to perform an inversion of a matrix. The equalization operation on the plurality of received symbols is completed within a user-specified precision without adding any bit to the precision when the matrix is non-invertible. A gain normalizer performs a gain normalization operation on the plurality of received symbols following the equalization operation with certain values excluded from an .sub.IRCaverage of gain normalization factors used for the gain normalization operation.