A method, a computer-readable medium, and an apparatus are provided. The apparatus communicates with a second apparatus, including transmitting or receiving a first transmission. The apparatus receives information about the second UE from a sensor at the first UE and/or from a BSM. The apparatus determines whether the first apparatus and the second apparatus are in a LOS condition based on a correlation of the information with one or more of a channel estimation, PMI feedback, or RI feedback. The apparatus may adapt a transmission parameter for a second transmission based on a predicted location of the first apparatus or the second apparatus. The transmission parameter may include at least one of a modulation, a code rate, a DMRS density, a precoder, a CSI-RS transmission periodicity or a feedback rate.

In one aspect, an apparatus includes: a fast Fourier transform (FFT) engine to receive and convert a plurality of orthogonal frequency division multiplexing (OFDM) samples into a plurality of frequency carriers; a detector coupled to the FFT engine to determine a channel estimate for a first frequency carrier using a first channel estimate for the first frequency carrier and a plurality of other channel estimates, each of the plurality of other channel estimates for one of a plurality of neighboring frequency carriers within an evaluation window, and determine a log likelihood ratio (LLR) for the first frequency carrier using the channel estimate for the first frequency carrier; and a decoder coupled to the detector to decode a first OFDM symbol comprising the first frequency carrier using the LLR for the first frequency carrier.

A method and system for providing sub-band whitening are herein provided. According to one embodiment, a method estimating an interference whitening (IW) factor based on a legacy-long training field (LLTF) signal, updating the estimated IW factor during transmission of a data symbol, and scaling the data symbol based on the updated IW factor and the estimated IW factor.

A detection method for a MIMO system receiver in which a linear detection is carried out in order to provide an equalised vector. This equalised vector is represented in a reduced basis obtained from the reduction of the channel matrix. It undergoes an iterative noise cancellation process in the representation according to the reduced basis. Upon each iteration, a search is carried out for the component of the equalised vector in the reduced basis located the furthest from an area unperturbed by noise surrounding the product constellation with a tolerance margin, and the point representative of the equalised vector of this area by subtracting therefrom a noise vector in the direction of this component, the module whereof is equal to a fraction of the tolerance margin. The iterative cancellation converges when the equalised vector belongs to the area unperturbed by noise.

Pre-charging two or more sets of nodes to set a differential output of a multi-input summation latch connected to the two or more sets of nodes in a pre-charged state, the two or more sets of nodes comprising a set of data signal nodes and a set of DFE correction nodes, in response to a sampling clock, generating a differential data voltage and an aggregate differential DFE correction signal, and generating a data decision by driving the differential output of the multi-input summation latch into one of two possible output states according to a summation of the differential data voltage signal and the aggregate differential DFE correction signal and subsequently holding the data decision by holding the differential output of the multi-input summation latch in a latched state for a duration determined by the sampling clock.

Methods and apparatus for providing soft and blind combining for PUSCH acknowledgement (ACK) processing. In an exemplary embodiment, a method includes soft-combining acknowledgement (ACK) bits received from a UE that are contained in a received sub-frame of symbols. The ACK bits are soft-combined using a plurality of scrambling sequences to generate a plurality of hypothetical soft-combined ACK bit streams. The method also includes receiving a parameter that identifies a selected scrambling sequence to be used. The method also includes decoding a selected hypothetical soft-combined ACK bit stream to generate a decoded ACK value, wherein the selected hypothetical soft-combined ACK bit stream is selected from the plurality of hypothetical soft-combined ACK bit streams based on the parameter.

The present disclosure relates to configurable modulation in wireless communications. Constellation set signaling and constellation selection signaling are communicated in a wireless communication network. The constellation set signaling is associated with modulation of data using each constellation in a constellation set that includes multiple constellations. The constellation selection signaling is indicative of one of the multiple constellations of the constellation set that is to be used in modulation of data for transmission in the wireless communication network. Data that is modulated using the one of the multiple constellations is also communicated in the wireless communication network.

The disclosure relates to a communication technique for converging a 5G communication system for supporting a higher data transfer rate beyond a 4G system with an IoT technology, and a system therefor. The disclosure may be applied to intelligent services (for example, smart home, smart buildings, smart cities, smart cars or connected cars, health care, digital educations, retail business, security and safety-related services, etc.) based on a 5G communication technology and an IoT-related technology. The disclosure provides an apparatus and a method for efficiently decoding a low-density parity-check (LDPC) code in a communication or broadcasting system. Further, the disclosure provides an LDPC decoding device and method for improving decoding performance without increasing the decoding complexity by applying suitable decoding scheduling according to the structural or algebraic characteristics of the LDPC code in a process of decoding the LDPC code using layered scheduling or a scheme similar thereto. Further, a method of a low density parity check (LDPC) decoding performed by a receiving device in a wireless communication system is provided, the method comprising: receiving, from a transmitting device, a signal corresponding to input bits; performing demodulation based on the signal to determine values corresponding to the input bits; identifying a number of the input bits based on the signal; identifying a base matrix and a lifting size based on the number of the input bits; identifying a parity check matrix based on the base matrix; identifying an index corresponding to the values; determining a number of layers based on the index and the lifting size; determining an order for LDPC decoding based on the number of layers and a predetermined sequence; and performing LDPC decoding to determine the input bits based on the values, the parity check matrix and the order.

Systems and methods are disclosed for a multiple detector data channel and data detection utilizing different cost functions. For example, a digital data channel system can have multiple data detectors where each data detector implements a distinct cost function for detecting data. A cost function analyzer can then selectively choose decisions from the multiple data detectors to generate a data sequence. In some examples, a dual detector system may have one detector implement a Soft-Output Viterbi Algorithm (SOVA) cost function and another detector implement a peak detection algorithm. Further, in some embodiments, the cost function analyzer can implement multiple selection criteria to determine which decisions to include in a data sequence from the multiple data detectors.

A data transmission device includes a de-interleaver configured to receive, from a host device at a first data rate, a data stream including encoded data, de-interleave the data stream into a plurality of forward error correction (FEC) data streams, and output the plurality of FEC data streams at a second data rate less than the first data rate. Each of a plurality of interleavers is configured to interleave a respective one of the plurality of FEC data streams into an intermediate data stream including first data blocks and second data blocks. An encoder module configured to generate, for each of the intermediate data streams, FEC blocks including a first parity section and a first data section, the first parity section including a first parity bit corresponding to the first data blocks and a second parity bit corresponding to the second data blocks, and the first data section including the first data blocks and the second data blocks, and output the FEC blocks at the second data rate.