Apparatuses, methods, and systems are disclosed for determining a signal quality using an error vector magnitude. One method includes receiving an output of a user equipment antenna port. The user equipment antenna port includes a linear combination of two or more transmit antennas. The method includes performing normalized maximum ratio combining on the output of the user equipment antenna port to produce a normalized output. The method includes determining a signal quality of the output of the user equipment antenna port. Determining the signal quality includes determining an error vector magnitude using the normalized output.

Systems and methods for performing efficient blind decoding. A first plurality of decision metrics corresponding to a first repetition of periodic decoding information is stored. The first plurality of decision metrics is grouped into sequential portions. A plurality of combined versions of the sequential portions is stored into combining buffers arranged in sequence. Each combined version is associated with a different sequence of timing information. A first of the plurality of combined versions stored in a first of the combining buffers is combined with a second version of a second plurality of decision metrics that corresponds to a second repetition of the periodic decoding information. The second version is associated with timing information adjacent in the timing information sequence to the timing information associated with the first combined version. The data is decoded based on information in the combining buffers.

A system and method are described for adjusting communication with a first distributed-input-distributed-output (DIDO) client as the first DIDO client moves from a first DIDO cluster to a second DIDO cluster: For example, in one embodiment of the system and method, different signal strength thresholds are specified and either conventional DIDO precoding and/or DIDO precoding with inter-DIDO-cluster interference (IDCI) cancellation to avoid RF interference at the DIDO client are employed based on measured signal strengths from a main DIDO cluster and an interfering DIDO cluster.

The disclosed techniques allow for transmitting a signal stream from a sender to a receiver in an environment including multiple senders and receivers. The technique for the sender decomposes a data stream from the sender into multiple substreams, encodes a substream by a codeword, further superimposes multiple codewords to form a signal stream in an asynchronous manner, and transmits the signal stream to the receiver. A codeword can span over multiple blocks. The receiver receives a first codeword stream from a first sender, receives a second codeword stream from a second sender, the two codeword streams may be received at the same time as one signal, and decodes the first codeword stream and second codeword stream over a sliding window of multiple blocks.

Embodiments of the invention provide a decoder for decoding a signal received through a transmission channel in a communication system, said signal comprising a vector of information symbols, said transmission channel being represented by a channel matrix comprising column vectors, said information symbols carrying information bits, wherein the decoder comprises: a transformation unit (401) configured to determine a set of auxiliary channel matrices, each auxiliary channel matrix being determined by performing a linear combination of at least one of the column vectors of said channel matrix; a decomposition unit (407) configured to determine a decomposition of each auxiliary channel matrix into an upper triangular matrix and an orthogonal matrix; a matrix selection unit (409) configured to select at least one auxiliary channel matrix among said set of auxiliary channel matrices depending on a selection criterion related to the components of said upper triangular matrices.

The decoder being configured to determine an auxiliary signal by multiplying the transpose of the orthogonal matrix corresponding to said selected auxiliary channel matrix by said received signal, the decoder being configured to determine at least one estimate of said vector of information symbols from said auxiliary signal and from the upper triangular matrix corresponding to said selected auxiliary channel matrix by applying a decoding algorithm.

A technique for assessing the reliability of bits received by a modulation symbol on a channel is provided. A providing circuit provides an input dataset including a plurality of input values. The input values correspond to different transmit hypotheses according to a modulation alphabet used for encoding the bits in the symbol. A computing circuit performs a first computing step and a second computing step. In the first computing step, a first intermediary dataset is computed by combining the input values of the input dataset according to a first combination scheme. In the second computing step, a second intermediary dataset is computed by combining the input values of the input dataset according to a second combination scheme. The second combination scheme is different from the first combination scheme. An assessing circuit assesses the reliability of the bits based on the first intermediary dataset and the second intermediary dataset.

The disclosure provides for interference mitigation for wireless signals in unlicensed spectrum. A wireless device may receive a combined signal including a first radio access technology (RAT) signal and a second RAT signal. The wireless device may generate, using a first RAT receiver in a first processing path, a channel estimate for the first RAT signal based on a previously decoded signal of the first RAT. The wireless device may reduce interference to the second RAT signal caused by the first RAT signal, in a second processing path, using the channel estimate. The wireless device may further decode the second RAT signal. The wireless device may remodulate the decoded signal using a transmitter to generate a remodulated second RAT signal. The remodulated second RAT signal may be canceled from the combined signal. The wireless device may decode a remaining portion of the combined signal including the first RAT signal.

A mobile communication device including a wireless transceiver and a controller is provided. The wireless transceiver includes a single interference cancellation or suppression receiver and is configured to perform wireless transmission and reception to and from a cellular station. The controller is configured to receive signaling information of a Multi-User Superposition Transmission (MUST) operation from the cellular station via the wireless transceiver, determine whether to perform a Network-Assisted Interference Cancellation and Suppression (NAICS) operation or the MUST operation according to the signaling information, and not perform both the NAICS operation and the MUST operation simultaneously.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE. The apparatus may receive a transmission over a precoded channel. The transmission may include a layer having a plurality of symbols, each symbol having a plurality of modulated tones precoded on a per-tone basis. The receive layer may be associated with a power delay profile. The apparatus may estimate the precoded channel based on a time support of the power delay profile.

A satisfactory list detection (LD) receiver based on spatial modulation (SM) orthogonal frequency division multiplexing (OFDM) waveform is provided. In some embodiments, the LD receiver can implement a suboptimal LD detection process that relies on a reduced search space an optimal joint ML detection-based process for the SM-OFDM transmission mode. In some aspects, the overall search space for the optimal joint ML is determined by the total spectral efficiency, which can be divided into two information categories with two different search spaces defined by the number of bits of each category. As such, in some aspects, the LD receiver can permit detecting, with reduced complexity, antenna bits and data bits based on a determination of respective log-likelihood ratios.