Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for use in receiving devices employing at least one iterative process for decoding messages. In certain example aspects, a receiving device may comprise a user equipment (UE) or other like device that may be configured to support device-to-device (D2D) communications, such as vehicle-to-vehicle (V2V) communications, or the like.

Techniques for improving data rates at mobile terminals that are subject to periodic channel interruptions in a beyond-line-of-sight communication system are disclosed, including improved encoding and decoding systems that identify blockages and modify receiver operation during blockages to reduce data errors. In certain embodiments, encoding, symbol mapping, interleaving, and use of unique periodic identifiers function to enable a series of packets that may be received in a blockage impaired channel with reduced errors.

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.

Disclosed are devices, systems and methods improving the convergence of a bit-flipping decoder in a non-volatile memory device. An example method includes receiving a noisy codeword, the codeword having been generated based on a parity check matrix of a low-density parity-check code and provided to a communication channel prior to reception by the bit-flipping decoder, and performing a single decoding iteration on the received noisy codeword, the single decoding iteration spanning a plurality of stages. In some embodiments, performing a single decoding iteration includes computing a metric corresponding to a single column of the parity check matrix, flipping at least one bit in the single column upon a determination that the metric exceeds a flipping threshold, computing, subsequent to the flipping, a syndrome as a product of the noisy codeword and the parity check matrix, and updating the flipping threshold upon a determination that the syndrome is not zero.

An electronic device and a method of operating the electronic device in a wireless communication system are provided. The method includes determining whether to perform a partial decoding or a normal decoding based on a channel quality; if partial decoding is performed, decoding partial data received by a transceiver from a second electronic device during a part one TTI; when the decoding of the partial data succeeds, performing at least one complementary decoding until a decoding success count reaches a decoding threshold; and when the decoding success count reaches the decoding threshold, outputting a decoding result for the at least one complementary decoding; and if normal decoding is performed, decoding all data of the one TTI and outputting a result. One of the at least one complementary decoding comprises decoding previous data, and additional data received by the transceiver during an additional part of the one TTI, after the previous data.

Disclosed are devices, systems and methods improving the convergence of a bit-flipping decoder in a non-volatile memory device. An example method includes receiving a noisy codeword, the codeword having been generated based on a parity check matrix of a low-density parity-check code and provided to a communication channel prior to reception by the bit-flipping decoder, and performing a single decoding iteration on the received noisy codeword, the single decoding iteration spanning a plurality of stages. In some embodiments, performing a single decoding iteration includes computing a metric corresponding to a single column of the parity check matrix, flipping at least one bit in the single column upon a determination that the metric exceeds a flipping threshold, computing, subsequent to the flipping, a syndrome as a product of the noisy codeword and the parity check matrix, and updating the flipping threshold upon a determination that the syndrome is not zero.

A method to provide flexibility on the configuration and operation of the modulator, demodulator, and modem, where purpose-built (legacy) devices are not traditionally capable of exposing a level of control and flexibly for a user or an autonomous program for optimizing performance. Providing user or programmatic control of algorithms is traditionally not possible for purpose-built modems. Parameters such as the number of decoder iterations that are performed on Forward Error Correction (FEC), Interference Mitigation algorithm, or dynamic adjustment loop bandwidth to combat phase noise can be adjusted autonomously to optimize receiver performance. The all software modem, supported by a High-Performance Computing (HPC) architecture, removes the limitation due to the flexibility of programming resources and available performance. Unlike most purpose-built hardware, the HPC allows processing resources to dynamically be reallocated, so that as additional performance is desired, the resources may be increased and decreased as required.

Techniques for improving data rates at mobile terminals that are subject to periodic channel interruptions in a beyond-line-of-sight communication system are disclosed, including improved encoding and decoding systems that identify blockages and modify receiver operation during blockages to reduce data errors. In certain embodiments, encoding, symbol mapping, interleaving, and use of unique periodic identifiers function to enable a series of packets that may be received in a blockage impaired channel with reduced errors.

An error correction device according to this invention includes a first correction unit configured to perform error correction decoding of data by a repetitive operation, and having a full operation state in which the repetitive operation of the error correction decoding is repeated until convergence is obtained and a save operation state in which the number of times of the repetitive operation of the error correction decoding is restricted to a predetermined number of times, an error information estimation unit configured to estimate an input error rate or an output error rate of the first correction unit using a decoding result of the first correction unit, and a control unit configured to control transition between the full operation state and the save operation state of the first correction unit based on at least one piece of information of the input error rate, the output error rate, and an operation time of the first correction unit. According to this invention, it is possible to provide an error correction device that can improve a transmission characteristic while suppressing power consumption.

A signal transmission method is performed by a base station. The method includes: determining, a first carrier signal that is to be sent in a first cell on a first carrier and a second carrier signal that is to be sent in a second cell on a second carrier; mapping, the first carrier signal and the second carrier signal to N physical ports of an RRU, so that within a same OFDM symbol, a type B symbol used to transmit a pilot in the first carrier signal and a type B symbol used to transmit a pilot in the second carrier signal are mapped to different physical ports, and a total power of signals sent on each of N physical channels is not greater than a rated power of the RRU; and sending, the first carrier signal and the second carrier signal through the N physical ports.