Abstract:
An apparatus relates generally to OFDM. In this apparatus, modulators are coupled to receive data inputs. Each of the modulators includes IDFT blocks coupled to output a first and a second N-point transform, and a 2N-point transform to provide discrete time domain signals for the data inputs. A switch and frequency translation block is coupled to receive the discrete time domain signals. RF ports are coupled to the switch and frequency translation block. The switch and frequency translation block is configured to allocate a combination of outputs from two or more of the IDFT blocks to a same RF port of the RF ports and to translate frequency of at least one of the outputs from the two or more of the IDFT blocks to provide the OFDM of the outputs from the two or more of the IDFT blocks onto the same RF port of the RF ports.
Abstract:
Systems and methods for training a neural network model includes providing a quantization function including a quantization log threshold parameter associated with a log value of a quantization threshold. A quantization training to a neural network model is performed to generate quantized neural network parameters. The quantization training includes: generating first values with a first precision for the neural network parameters; performing a first optimization process to generate an updated quantization log threshold parameter; and generating quantized values with a second precision lower than the first precision for the neural network parameters by applying the quantization function with the updated quantization log threshold parameter to the first values. The neural network model with the quantized values for the neural network parameters is provided for performing a task.
Abstract:
A decoder circuit includes a low-density parity-check (LDPC) repository, an LDPC code configurator, and LDPC decoding circuitry. The LDPC repository stores parity-check information associated with one or more LDPC codes. The LDPC code configurator may receive a first LDPC configuration describing a parity-check matrix for a first LDPC code and may update the parity-check information in the LDPC repository to reflect the parity-check matrix for the first LDPC code. The LDPC decoding circuitry may receive a first codeword encoded in accordance with the LDPC code. More specifically, the LDPC decoding circuitry may be configured to read the parity-check information associated with the first LDPC code from the LDPC repository and iteratively decode the first codeword using the parity-check information associated with the first LDPC code.
Abstract:
A modem includes an outer transceiver including a soft decision forward error correction (SD-FEC) circuit, wherein the SD-FEC circuit is hardwired and programmable to perform at least one of encoding or decoding data using a code type selected from a plurality of different code types, and an inner transceiver coupled to the SD-FEC circuit, wherein the inner transceiver is implemented in programmable circuitry.
Abstract:
A digital predistortion (DPD) system includes an input configured to receive a DPD input signal. In some embodiments, a non-linear datapath is coupled to the input, where the non-linear datapath includes a plurality of parallel datapath elements each coupled to the input. By way of example, each of the plurality of parallel datapath elements is configured to add a different inverse non-linear component to the DPD input signal corresponding to a non-linear component of an amplifier. In various examples, a first combiner combines an output of each of the plurality of datapath elements to generate a first predistortion signal. In some embodiments, the DPD system further includes a linear datapath coupled to the input in parallel with the non-linear datapath to generate a second predistortion signal. In addition, a second combiner combines the first predistortion signal and the second predistortion signal to generate a DPD output signal.
Abstract:
A decoder circuit includes an input configured to receive an encoded message generated based on a QC-LDPC code. A first layer process unit is configured to process a first layer of a parity check matrix to generate a plurality of log-likelihood ratio (LLR) values corresponding to a plurality of variable nodes associated with the encoded message respectively. The first layer process unit includes a plurality of row process units configured to process a first plurality of rows of the first layer in parallel to generate a plurality of row update values. A layer update unit is configured to generate a first LLR value for a first variable node using first and second row update values for the first variable node. An output is configured to provide a decoded message generated based the plurality of LLR values.
Abstract:
A method includes communicating data in a channel. Received symbols for the data correspond to points of a received symbol space respectively. First and second dimensions of the received symbol space correspond to a real part and an imaginary part of the received symbols respectively. A first received symbol for the data is obtained. A first region of the received symbol space for the first received symbol is determined. A first regression model associated with the first region and a first bit of the first received symbol is retrieved from a storage. The first regression model includes a plurality of regressors. A first log-likelihood ratio (LLR) for the first bit of the first received symbol is estimated using the first regression model.
Abstract:
An integrated circuit (IC) includes a downlink unit including an input to receive a first plurality of frequency domain (FD) symbols associated with data symbols for a plurality of users, and an iteration unit to perform a plurality of iterations based on adjustment values. Each iteration includes generating a second plurality of FD symbols by performing a precoding process based on the first plurality of FD symbols, generating a third plurality of time domain (TD) symbols by performing a first modulation process based on the second plurality of FD symbols, generating a fourth plurality of TD symbols by performing a dynamic range reduction process based on absolute values of the third plurality of TD symbols, and updating the adjustment values. The downlink unit further includes a decision unit configured to generate transmit TD symbols for transmission through a channel to the plurality of users.
Abstract:
A digital predistortion (DPD) system includes an input configured to receive a DPD input signal. The DPD system includes a first predistortion circuit configured to provide a first signal path coupled to the input to generate a first predistortion signal. The first predistortion circuit includes a first infinite impulse response (IIR) filter. A second predistortion circuit is configured to provide a second signal path coupled to the input in parallel with the first signal path to generate a second predistortion signal. The second predistortion circuit includes a second IIR filter. A combiner circuit is configured to combine the first predistortion signal and the second predistortion signal to generate a DPD output signal.
Abstract:
A system includes a memory and an integrated circuit coupled to the memory. The integrated circuit is configured to communicate data in a channel characterized as a space having at least a frequency dimension. Anchor locations within the space correspond to respective regions of the space. The integrated circuit is further configured to determine a first inverse of a first matrix that corresponds to a first channel matrix for a first anchor location of the anchor locations. The first anchor location corresponds to a first region of the regions. The integrated circuit is further configured to perform an access link process for a second location other than the first anchor location but within the first region, the access link process using the first inverse determined for the first anchor location.