Qualcomm Incorporated

Other

Shrinivas Kudekar

Thomas J Richardson

Joseph Binamira Soriaga

Gabi Sarkis

Jing Jiang

Vincent Loncke

Changlong Xu

Yang Yang

Hari Sankar

Chao Wei

Urs Niesen

Junyi Li

Navid Abedini

Alexandros Manolakos

Krishna Kiran Mukkavilli

Muhammad Nazmul Islam

Juergen Cezanne

Bilal Sadiq

Se Yong Park

Thomas Joseph Richardson

Peter S Gaal

Piyush Gupta

Renqiu Wang

Ravi Palanki

Xinzhou Wu

Saurabha Rangrao Tavildar

Cyril Measson

Raghunath Kalavai

Yi Cao

Ivan Klimek

Thomas Richardson

Various aspects of the disclosure relate to encoding information and decoding information. In some aspects, the disclosure relates to an encoder and a decoder for Polar codes with HARQ. If a first transmission of the encoder fails, information bits associated with a lower quality channel may be retransmitted. At the decoder, the resulting decoded retransmitted bits may be used to decode the first transmission by substituting the retransmitted bits for the original corresponding (low quality channel) bits. In some aspects, to decode the first transmission, soft-combining is applied to the decoded retransmitted bits and the original corresponding (low quality channel) bits. In some aspects, CRC bits for a first transmission may be split between a first subset of bits and a second subset of bits. In this case, the second subset of bits and the associated CRC bits may be used for a second transmission (e.g., a retransmission).

Encoding and decoding techniques

The present disclosure provides self-decodable redundancy versions for a systematic code. An apparatus for wireless communications includes at least one processor coupled with a memory and comprising encoder circuitry configured to encode a set of information bits using a systematic code to generate an encoded bit stream with information bits and parity bits, and bit ordering circuitry configured to re-order bits in the encoded bit stream to distribute the information bits and the parity bits. The apparatus includes a transmitter configured to transmit the re-ordered bits in accordance with a radio technology via one or more antenna elements situated proximate the receiver.

Communication techniques with self-decodable redundancy versions (RVs) using systematic codes

Certain aspects of the present disclosure provide low-density parity-check (LDPC) codes having pairwise orthogonality of adjacent rows, and a new decoder that exploits the pairwise row orthogonality for flexible decoder scheduling without performance loss. An apparatus includes a receiver configured to receive a codeword in accordance with a radio technology across a wireless channel via one or more antenna elements situated proximal the receiver. The apparatus includes at least one processor coupled with a memory and comprising decoder circuitry configured to decode the codeword based on a LDPC code to produce a set of information bits. The LDPC code is stored in the memory and defined by a base matrix having columns in which all adjacent rows are orthogonal in a last portion of the rows.

Communication techniques involving pairwise orthogonality of adjacent rows in LPDC code

Certain aspects of the present disclosure generally relate to techniques for compactly describing lifted low-density parity-check (LDPC) codes. A method by a transmitting device generally includes selecting a first lifting size value and a first set of lifting values; generating a first lifted LDPC code by applying the first set of lifting values to interconnect edges in copies of a parity check matrix (PCM) having a first number of variable nodes and a second number of check nodes; determining a second set of lifting values for generating a second lifted LDPC code for a second lifting size value based on the first lifted PCM and the first set of lifting values; encoding a set of information bits based the first lifted LDPC code or the second lifted LDPC code to produce a code word; and transmitting the code word.

Methods and apparatus for compactly describing lifted low-density parity-check (LDPC) codes

A system and method for managing encoded information in a real-time screen-to-camera communication environment are disclosed. The system converts information into a pre-defined number of characters and generates data symbols in shapes and pilot symbols corresponding to the characters. Further, the system embeds the data symbols in media content frames and modulates pixels and boundaries for display of display device, based on luminance, and adaptively displays frames as temporal-complementary frames. Furthermore, the system detects frames from recorded content, extracts data symbols based on grid and fixed pattern, and detects bit values by analyzing color differences. Additionally, the system generates information based on the detected bit values and outputs the information on an user device display, including products, recommendations, services, and relevant information related to the media content.

System and method for managing encoded information in a real-time screen-to-camera communication environment

Methods, systems, and devices for encoding and decoding are described. To encode a vector, an encoder allocates information bits of the vector to channel instances of a channel that are separated into groups. The groups may vary in size and allocation of the information bits is based on a base sequence of a given length. During decoding, a decoder assigns different bit types to channels instances by dividing a codeword into a plurality of groups and assigning bit types to channel instances of the plurality of groups using the base sequence.

Bit allocation for encoding and decoding

Certain aspects of the present disclosure generally relate to techniques for puncturing of structured low-density parity-check (LDPC) codes. Certain aspects of the present disclosure generally relate to methods and apparatus for a high-performance, flexible, and compact LDPC code. Certain aspects can enable LDPC code designs to support large ranges of rates, blocklengths, and granularity, while being capable of fine incremental redundancy hybrid automatic repeat request (IR-HARD) extension while maintaining good floor performance, a high-level of parallelism to deliver high throughout performance, and a low description complexity.

High performance, flexible, and compact low-density parity-check (LDPC) code

Certain aspects of the present disclosure generally relate to techniques for puncturing of structured low density parity check (LDPC) codes. A method for wireless communications by wireless node is provided. The method generally includes encoding a set of information bits based on a LDPC code to produce a code word, the LDPC code defined by a matrix having a first number of variable nodes and a second number of check nodes, puncturing the code word to produce a punctured code word, wherein the puncturing is performed according to a first puncturing pattern designed to puncture bits corresponding to one or more of the variable nodes having a certain degree of connectivity to the check nodes, and transmitting the punctured code word.

Puncturing for structured low density parity check (LDPC) codes

Certain aspects of the present disclosure generally relate to techniques for puncturing of structured low-density parity-check (LDPC) codes. Certain aspects of the present disclosure generally relate to methods and apparatus for a high-performance, flexible, and compact LDPC code. Certain aspects can enable LDPC code designs to support large ranges of rates, blocklengths, and granularity, while being capable of fine incremental redundancy hybrid automatic repeat request (IR-HARQ) extension while maintaining good floor performance, a high-level of parallelism to deliver high throughout performance, and a low description complexity.

Aspects of the present disclosure relate to low density parity check (LDPC) coding utilizing LDPC base graphs. Two or more LDPC base graphs may be maintained that are associated with different ranges of overlapping information block lengths. A particular LDPC base graph may be selected for an information block based on the information block length of the information block. Additional metrics that may be considered when selecting the LDPC base graph may include the code rate utilized to encode the information block and/or the lift size applied to each LDPC base graph to produce the information block length of the information block.

Multiple low density parity check (LDPC) base graph design

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Raritan, NJ, United States of America

Shrinivas Kudekar