Abstract: 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.

Abstract: Methods and apparatus for job scheduling in a programmable mixed-radix DFT/IDFT processor. In an exemplary embodiment, a method includes receiving a plurality of discrete Fourier transform (DFT) jobs. Each job identifies a computation of a DFT of a particular point size. The method also includes bundling selected jobs having a selected point size into a mega-job, and identifying a radix factorization for the selected point size. The radix factorization includes one or more stages and each stage identifies a radix computation to be performed. The method also includes computing, for each stage, the identified radix computations for the selected jobs in the mega-job. The radix computations for each stage are performed for the selected jobs before performing radix computations for a subsequent stage. The method also includes outputting DFT results for the selected jobs in the mega-job.

Abstract: Methods and apparatus for job scheduling in a programmable mixed-radix DFT/IDFT processor. In an exemplary embodiment, a method includes receiving a plurality of discrete Fourier transform (DFT) jobs. Each job identifies a computation of a DFT of a particular point size. The method also includes bundling selected jobs having a selected point size into a mega-job, and identifying a radix factorization for the selected point size. The radix factorization includes one or more stages and each stage identifies a radix computation to be performed. The method also includes computing, for each stage, the identified radix computations for the selected jobs in the mega-job. The radix computations for each stage are performed for the selected jobs before performing radix computations for a subsequent stage. The method also includes outputting DFT results for the selected jobs in the mega-job.

Abstract: Methods and apparatus for providing a demapping system with phase compensation to demap uplink transmissions. In an embodiment, a method is provided that includes detecting a processing type associated with a received uplink transmission, and when the detected processing type is a first processing type then performing the following operations: removing resource elements containing reference signals from the uplink transmission; layer demapping remaining resource elements of the uplink transmission into two or more layers; phase compensating all layers to generate phase compensated layers; and soft-demapping all phase compensated layers to produce phase compensated soft-demapped bits.

Abstract: A vector memory subsystem for use with a programmable mix-radix vector processor (“PVP”) capable of calculating discrete Fourier transform (“DFT/IDFT”) values. In an exemplary embodiment, an apparatus includes a vector memory bank and a vector memory system (VMS) that generates input memory addresses that are used to store input data into the vector memory bank. The VMS also generates output memory addresses that are used to unload vector data from the memory banks. The input memory addresses are used to shuffle the input data in the memory bank based on a radix factorization associated with an N-point DFT, and the output memory addresses are used to unload the vector data from the memory bank to compute radix factors of the radix factorization.

Abstract: Methods and apparatus for providing a demapping system to demap uplink transmissions. In an embodiment, a method is provided that includes detecting a processing type associated with a received uplink transmission, and when the detected processing type is a first processing type then performing the following operations: removing resource elements containing reference signals from the uplink transmission; layer demapping remaining resource elements of the uplink transmission into two or more layers; soft-demapping the two or more layers to produce soft-demapped data. The method also includes descrambling the soft-demapped data to produce descrambled data, and processing the descrambled data to generate uplink control information (UCI).

Abstract: Methods and apparatus for successive interference cancellation (SIC). In an embodiment, a method includes receiving symbols from a plurality of user equipment (UE), identify a target UE and non-target UEs, decoding code blocks from the symbols received from the non-target UEs to generate decoded bits for each code block. The method also includes performing a CRC check on each code block to generate a tag (0) when the CRC check passes and a tag (1) when the CRC check fails, and re-encoding the decoded bits to generate re-encoded code blocks having the associated tags attached. The method also includes reconstructing symbols from the re-encoded code blocks where symbols reconstructed from re-encoded code blocks having tag (0) are reconstructed with data and symbols reconstructed from re-encoded code blocks having tag (1) are reconstructed as zero value symbols, and utilizing the reconstructed symbols to cancel interference on symbols from the target UE.

Abstract: Methods and apparatus for combining received uplink transmissions. In an embodiment, a method is provided that includes receiving a descrambled resource element associated with selected second channel state information (CSI2) and receiving a descrambling sequence used to generate the descrambled RE. The method also includes rescrambling the descrambled RE using the descrambling sequence to generate a rescrambled RE and modifying the descrambling sequence to generate a modified descrambling sequence. The method also includes descrambling the rescrambled RE with the modified descrambling sequence to generate a modified descrambled RE and accumulating the modified descrambled RE to form a combined CSI2 value.

Abstract: 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.

Abstract: Methods and apparatus for compressing data streams. In an embodiment, a method includes calculating a probability distribution function (PDF) for scaler data, matching the PDF to PDF templates to determine a closest matching PDF template, and selecting an encoder corresponding to the closest matching PDF template wherein a corresponding encoder identifier is determined. The method also includes encoding the scaler data with the encoder to generate an encoded stream, and transmitting the encoded stream and the encoder identifier.

Abstract: Methods and apparatus for successive interference cancellation (SIC). In an embodiment, a method includes receiving symbols from a plurality of user equipment (UE), identify a target UE and non-target UEs, decoding code blocks from the symbols received from the non-target UEs to generate decoded bits for each code block. The method also includes performing a CRC check on each code block to generate a tag (0) when the CRC check passes and a tag (1) when the CRC check fails, and re-encoding the decoded bits to generate re-encoded code blocks having the associated tags attached. The method also includes reconstructing symbols from the re-encoded code blocks where symbols reconstructed from re-encoded code blocks having tag (0) are reconstructed with data and symbols reconstructed from re-encoded code blocks having tag (1) are reconstructed as zero value symbols, and utilizing the reconstructed symbols to cancel interference on symbols from the target UE.

Abstract: Methods and apparatus for decoding received uplink transmissions. In an embodiment, a method includes receiving a stream having data LLRs and second channel state information (CSI2) LLRs, and separating the data LLRs into a data stream and the CSI2 LLRs into a CSI2 stream based on configuration parameters. The method also includes decoding the data stream to generate decoded data, and decoding the CSI2 stream to generate decoded CSI2 information. An apparatus includes a first LLR preprocessor that receives a stream having data LLRs and second channel state information (CSI2) LLRs and separates the data LLRs into a data stream, and a second LLR preprocessor that receives the stream and separates the CSI2 LLRs into a CSI2 stream. The apparatus also includes a data decoder that decodes the data stream to generate decoded data, and a CSI2 decoder that decodes the CSI2 stream to generate decoded CSI2 information.

Abstract: Methods and apparatus for providing a resource element identification system to process received uplink transmissions. In an embodiment, a method is provided that includes receiving one or more symbols from an uplink transmission. Each symbol comprises resource elements. The method also includes categorizing the resource elements into a plurality of categories to generated categorized resource elements, and forwarding the categorized resource elements to downstream processing functions.

Abstract: Methods and apparatus for configuring a front end to process multiple sectors with multiple radio frequency frames. In an exemplary embodiment, a method includes decoding instructions included in a job description list, and configuring one or more processing functions of a transceiver to process a radio signal associated with a selected sector based on the decoded instructions. The configuration of the processing functions is synchronized according to time control instructions included in the job description list.

Abstract: Methods and apparatus for providing a resource element identification system to process received uplink transmissions. In an embodiment, a method is provided that includes receiving soft-demapped symbols that comprises resource elements. The method also includes descrambling the resource elements of the symbols one-by-one using descrambling bits generated by at least one linear feedback shift register (LFSR). After each symbol is descrambled, a state of the at least one LFSR is stored as a stored state. The method also comprises restoring the stored state to the at least one LFSR before a next symbol is descrambled so that generation of the descrambling bits continues from symbol to symbol. The method also comprises forwarding the descrambled symbols to a downstream combining function.

Abstract: Methods and apparatus for providing a demapping system with phase compensation to demap uplink transmissions. In an embodiment, a method is provided that includes detecting a processing type associated with a received uplink transmission, and when the detected processing type is a first processing type then performing the following operations: removing resource elements containing reference signals from the uplink transmission; layer demapping remaining resource elements of the uplink transmission into two or more layers; phase compensating all layers to generate phase compensated layers; and soft-demapping all phase compensated layers to produce phase compensated soft-demapped bits.

Abstract: Methods and apparatus for providing a resource element identification system to process received uplink transmissions. In an embodiment, a method is provided that includes receiving soft-demapped symbols that comprises resource elements. The method also includes descrambling the resource elements of the symbols one-by-one using descrambling bits generated by at least one linear feedback shift register (LFSR). After each symbol is descrambled, a state of the at least one LFSR is stored as a stored state. The method also comprises restoring the stored state to the at least one LFSR before a next symbol is descrambled so that generation of the descrambling bits continues from symbol to symbol. The method also comprises forwarding the descrambled symbols to a downstream combining function.

Abstract: Methods and apparatus for decoding received uplink transmissions using log-likelihood ratio optimization. In an embodiment, a method includes soft-demapping resource elements based on soft-demapping parameters as part of a process to generate log-likelihood ratios (LLR) values, decoding the LLRs to generate decoded data, and identifying a target performance value. The method also includes determining a performance metric from the decoded data, and performing a machine learning algorithm that dynamically adjusts the soft-demapping parameters to move the performance metric toward the target performance value.

Abstract: Methods and apparatus for combining received uplink transmissions. In an embodiment, a method is provided that includes receiving a descrambled resource element associated with selected second channel state information (CSI2) and receiving a descrambling sequence used to generate the descrambled RE. The method also includes rescrambling the descrambled RE using the descrambling sequence to generate a rescrambled RE and modifying the descrambling sequence to generate a modified descrambling sequence. The method also includes descrambling the rescrambled RE with the modified descrambling sequence to generate a modified descrambled RE and accumulating the modified descrambled RE to form a combined CSI2 value.

Abstract: Methods and apparatus for decoding received uplink transmissions using log-likelihood ratio optimization. In an embodiment, a method includes soft-demapping resource elements based on soft-demapping parameters as part of a process to generate log-likelihood ratios (LLR) values, decoding the LLRs to generate decoded data, and identifying a target performance value. The method also includes determining a performance metric from the decoded data, and performing a machine learning algorithm that dynamically adjusts the soft-demapping parameters to move the performance metric toward the target performance value.