Patent classifications
H04L1/0052
Mixing coefficient data for processing mode selection
Examples described herein include systems and methods which include wireless devices and systems with examples of mixing input data delayed versions of at least a portion of the respective processing results with coefficient data specific to a processing mode selection. For example, a computing system with processing units may mix the input data delayed versions of respective outputs of various layers of multiplication/accumulation processing units (MAC units) for a transmission in a radio frequency (RF) wireless domain with the coefficient data to generate output data that is representative of the transmission being processed according to a wireless processing mode selection. In another example, such mixing input data with delayed versions of processing results may be to receive and process noisy wireless input data. Examples of systems and methods described herein may facilitate the processing of data for 5G wireless communications in a power-efficient and time-efficient manner.
METHOD AND DEVICE IN UE AND BASE STATION USED FOR WIRELESS COMMUNICATION
The present disclosure provides a method and a device in a User Equipment (UE) and a base station for wireless communications. A UE receives first information, the first information being used for indicating M DCI blind decoding(s); monitors a first-type radio signal respectively on each of S sub-band(s) in a first time-domain resource; and performs at most M1 DCI blind decoding(s) of the M DCI blind decoding(s) on the S sub-band(s) in the first time-domain resource. Herein, the first-type radio signal detected on the S sub-band(s) is used for determining the M1 DCI blind decoding(s) out of the M DCI blind decoding(s). The above method allows the base station to make dynamic adjustments to the UE's blind decoding on PDCCH resources according to LBT results, ensuring that sufficient PDCCH resources are available and not too many PDSCH resources are preempted, and that excessive blind decodings can be avoided.
Opportunistic content delivery using delta coding
Systems and methods are described for avoiding redundant data transfers using delta coding techniques when reliably and opportunistically communicating data to multiple user systems. According to embodiments, user systems track received block sequences for locally stored content blocks. An intermediate server intercepts content requests between user systems and target hosts, and deterministically chucks and fingerprints content data received in response to those requests. A fingerprint of a received content block is communicated to the requesting user system, and the user system determines based on the fingerprint whether the corresponding content block matches a content block that is already locally stored. If so, the user system returns a set of fingerprints representing a sequence of next content blocks that were previously stored after the matching content block. The intermediate server can then send only those content data blocks that are not already locally stored at the user system according to the returned set of fingerprints.
Method and device in UE and base station for channel coding
The disclosure discloses a method and device in UE and a base station for channel coding. A first node first determines a first bit block and then transmits a first radio signal, wherein bits of the first bit block are used to generate bits of a second bit block, a third bit block comprises bits of the second bit block and the first bit block, and the third bit block is used to generate the first radio signal. The first bit block, the second bit block and the third bit block comprise P1, P2 and P3 bits, respectively.
Instruction-based multi-thread multi-mode PDSCH decoder for cellular data device
A cellular modem processor can include dedicated processing engines that implement specific, complex data processing operations. To implement physical downlink shared channel (PDSCH) decoding, a cellular modem can include a pipeline having multiple processing engines, with the processing engine including functional units that execute instructions corresponding to different stages in the PDSCH decoding process. Flow control and data synchronization between instructions can be provided using a hybrid of firmware-based flow control and hardware-based data dependency management.
CYCLIC REDUNDANCY CHECK, CRC,DECODING USING THE INVERSE CRC GENERATOR POLYNOMIAL
A cyclic redundancy check, CRC, decoder circuit having a K-bit input bit sequence, s, comprising information bits and CRC bits; and at least one processor (P) configured to perform a CRC decode computation and configured to: use an inverse of a predefined CRC generator polynomial that encoded the K-bit input bit sequence, s, to produce a data set; compute a CRC syndrome from the data set; and determine whether the CRC syndrome contains any one-valued bits indicative of a CRC error. An LUT stores one or more rows of a CRC generator matrix (G) generated from the inverse of the predefined CRC generator polynomial. A set of mod(−K,P) zero-valued filler bits are appended to an end of the K-bit input bit sequence, wherein an order of the rows in the CRC generator matrix (G) is reversed and aligned with the input bits of the input stream.
Method and device for detecting partial discontinuous transmission (DTX) using soft bits correlation
Described is a method and device for detecting a discontinuous transmission (DTX) state or a partial DTX state at an uplink control information (UCI) receiver in a wireless communication system. The method comprises receiving a linear block encoded signal on an uplink (UL) at said UCI receiver and processing said signal after resource element (RE) demapping to obtain a soft bit sequence. The soft bit sequence is then transformed into multiple sub-sequences. Correlation metrics are determined for two or more of the multiple sub-sequences or two or more sub-sequence groups derived from the multiple sub-sequences or sequence segments derived from the sub-sequence groups. Then, a determination is made if a DTX state has occurred by evaluating the determined correlation metrics.
Packet detector/decoder for a radio transmission system
Embodiments provide a data receiver, wherein the data receiver is configured to receive a broadband signal, wherein the broadband signal includes at least two partial data packets that are distributed in time and/or frequency, wherein the data receiver is configured to perform detection of the at least two partial data packets in the broadband signal and to provide at least one detection parameter for the detected partial data packets, wherein the data receiver is configured to perform decoding of the detected partial data packet by using the at least one detection parameter, wherein the data receiver is configured to perform or process detection and decoding separately from one another.
RAPTOR CODE FEEDBACK
Methods, systems, and devices for wireless communications are described. An encoding device may encode a set of source symbols using one or more raptor codes to generate a first set of encoded symbols and may transmit the first set of encoded symbols to a decoding device. The decoding device may successfully recover a source symbol of the set of source symbols from the first set of encoded symbols and may transmit an indication of the source symbol to the encoding device. The encoding device may encode one or more source symbols of the set of source symbols using the one or more raptor codes to generate a second set of encoded symbols based on receiving the indication of the source symbol and may transmit the second set of encoded symbols to the decoding device.
SYSTEMS AND METHODS FOR EXECUTING FORWARD ERROR CORRECTION CODING
There is provided methods and processors for executing Forward Error Correction (FEC) coding. The method includes acquiring a stream of real data symbols from a communication medium. The stream of real data symbols being arranged in a real matrix. The method includes generating virtual data symbols being arranged in a virtual matrix. The generating includes applying an interleaver map onto the matrix such that (i) at most c number of virtual data symbols in a given virtual row of the virtual matrix are copies of (ii) real data symbols associated with a same real row of the real matrix, c being a positive integer higher than 1. The method includes decoding codewords formed by the virtual matrix and the matrix.