Qualcomm Incorporated

Shravan Kumar Reddy Garlapati

Alessandro Risso

Afshin Haftbaradaran

Li Feng Zhang

Hari Sankar

Alexandre Pierrot

Hobin Kim

Ming Lin

Jing Jiang

Gabi Sarkis

Ashok Mantravadi

Wei Yang

Jae Ho Ryu

Subramanya P Rao

Chinmay Shankar Vaze

Omar Mehanna

Cunzhen Liu

Harsha Narasimha Acharya

Erman Koken

Harsha Acharya

Various aspects of the present disclosure generally relate to wireless communication. Some aspects more specifically provide procedures and configurations used to perform, at a transmitter, probabilistic amplitude shaping (PAS) of quadrature amplitude modulation (QAM) communications using non-binary polar coding (NBPC). NBPC differs from binary polar coding (BPC) in that BPC uses a binary-input channel whereas NBPC uses a non-binary input channel. For example, while BPC uses a log likelihood ratio (LLR) with a single value corresponding to a given bit to be shaped, NBPC may use a probability mass function (PMF) to define or represent amplitude shaping target values. As another example, aspects use non-binary transformations, which reduce the number of passes to shape q bits from q passes (for BPC) to 1 pass (for NBPC).

Non-binary polar codes for probabilistic amplitude shaping

An apparatus may be configured to receive a polar-encoded transmission comprising at least one intermediate node associated with a first configuration of frozen leaf nodes and information leaf nodes. The apparatus may further be configured to apply an FHT to a first set of values associated with a first intermediate node of the at least one intermediate node to generate a second set of values associated with the first intermediate node. The apparatus may also be configured to select, based on the second set of values, one or more paths associated with the first intermediate node for a SSCL decoding. The apparatus may further be configured to calculate a path metric for each of the selected one or more paths associated with the first intermediate node.

Polar coding Reed-Muller node optimization using Fast Hadamard Transform

Methods, systems, and devices for wireless communications are described. A shared channel may include a set of tones carrying multiple types of control information multiplexed together. A wireless device may perform a tone classification method to determine individual subsets of tones from the set of tones for each type of control information to extract each type of control information. The wireless device may determine multiple subsets of tones correspond to multiple types of control information simultaneously based on different extraction parameters. For example, the wireless device may determine a total number of tones in a set of tones, a distance between any given two tones in the set of tones, an offset value, or any combination thereof for the extraction parameters. The wireless device may then use these extraction parameters to determine or extract two or more subsets of tones for two or more corresponding types of control information.

Tone classification for physical channels with multiplexed data

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a receiving node may determine a cyclic redundancy check (CRC) based at least in part on log-likelihood ratios (LLRs) associated with downlink control information (DCI) received from a transmitting node. The receiving node may perform a full unmasking of the CRC using a radio network temporary identifier (RNTI) based at least in part on a descrambling of the CRC with the RNTI, wherein a number of bits associated with the RNTI is associated with a number of bits associated with the CRC. The receiving node may initiate an early termination of a decoding of the LLRs based at least in part on the full unmasking of the CRC. Numerous other aspects are described.

Techniques for masking and unmasking cyclic redundancy check bits for early termination of decoding

Methods, systems, and devices for wireless communications are described. In some systems, a first device may transmit a signal to a second device including a number of error detection bits interleaved with a number of information bits. The second device may use the error detection bits to determine if the signal was received correctly, where each error detection bit may be associated with a set of information bits. The second device may progressively decode the signal and continuously perform an error detection calculation based on a first set of information bits associated with a first error detection bit. Based on the error detection calculation, the second device may calculate an expected error detection bit corresponding to the first error detection bit. The second device may compare the first error detection bit to the expected error detection bit. Other aspects and features are also claimed and described.

Error detection for a wireless channel

Aspects described herein relate to decoding downlink control information (DCI) based on multiple DCI sizes. A first hypothesis of multiple hypotheses for decoding a communication received in a control channel search space, wherein the multiple hypotheses are based on different corresponding DCI sizes can be determined. The communication received in the control channel search space can be decoded based on the first hypothesis. For each of the multiple hypotheses and based on the different corresponding DCI sizes, information bits can be extracted from the communication as decoded. For each extracting of the information bits, cyclic redundancy check (CRC) can be performed based on one of the different corresponding DCI sizes to determine whether extracting of the information bits yields DCI.

Techniques for decoding downlink control information with different sizes in wireless communications

Certain aspects of the present disclosure generally relate to techniques for combining a plurality of decision metrics of a scrambled payload in a 5G wireless communications system. For example, in some cases, combining decision metrics of a scrambled payload may generally involve receiving a first payload at a receiver that was scrambled both before and after encoding, generating a second payload at the receiver with selectively set payload mask bits, and using the selectively-set payload mask bits in the second payload to descramble the first payload.

Combining decision metrics of a scrambled payload

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San Diego, CA, United States of America

Shravan Kumar Reddy Garlapati