Beijing University of Posts and Telecommunications

Peking University

China Mobile Communications Group Co., Ltd.

China Mobile Communication Co.,ltd Research Institute

Kai Niu

Ping Zhang

Zijian Liang

Yan Li

Jin Xu

Xuanyu Li

Yuxin Han

Xiaodong Xu

Chen Dong

Sen Wang

Chao Dong

Daqing Zhang

Jincheng Dai

Jinsheng Dai

Bolin Wu

Yifei Yuan

Disclosed are a semantic based Huffman encoding method, a semantic based Huffman decoding method and related devices. In the semantic based Huffman encoding method, an information sequence containing source symbols is received at first. Then, synonymous mappings are performed on the source symbols respectively based on a synonymous mapping codebook. Later, synonymous sets corresponding to the source symbols are determined respectively. Further, encoded codewords corresponding to the synonymous sets are determined respectively based on a semantic Huffman codebook. After sorting the encoded codewords according to an order of the source symbols in the information sequence to obtain an encoded sequence corresponding to the information sequence, the encoded sequence is transmitted to a receiving end for decoding.

Semantic based Huffman encoding method, semantic based Huffman decoding method, and related device

The present disclosure relates to a method, a system, a device and a storage medium for non-contact velocity estimation of a moving target. The method comprises the following steps: acquiring channel state information or other information that includes motion information of a moving target through at least two receiving devices, eliminating a random phase offset of the channel state information or other information to acquire newly constructed signals, and performing a denoising and filtering process on the newly constructed signals; identifying a motion state of the target according to the newly constructed signals, and dynamically selecting two optimal receiving devices if the target is moving; respectively extracting a Doppler frequency shift caused by the motion of the target from the two selected optimal receiving devices, and calculating a velocity of the moving target according to the Doppler frequency shifts.

Method, system, device and storage medium for non-contact velocity estimation of a moving target

An information bit determination method and a mapping relationship generation method for polar-coded modulation, and devices thereof are provided. The information bit determination method includes: providing a mapping relationship table for a predefined polar-coded modulation scheme, the mapping relationship table at least including target rates, modulation orders and first parameters of a polar code/component code under different MCS indices; determining the quantity of information bits in each polar code/component code in a target polar-coded modulation system in accordance with the mapping relationship table; and determining an information bit set corresponding to each polar code/component code in accordance with the quantity of information bits in each polar code/component code in the target polar-coded modulation system, the information bit set being used to indicate a set of positions of the information bits. According to the present application, a mapping relationship generation method and an information bit determination method for polar-coded modulation are provided independent of a channel state, so it is able to improve the flexibility and the practicability of the polar-coded modulation scheme.

Information bit determination method and mapping generation method for polar-coded modulation, and device

Disclosed is an arithmetic encoding method based on a semantic source, which is applied to an encoder. In this method, a preset encoding interval of the semantic source and a syntax symbol sequence containing syntax symbols are obtained. For each syntax symbol of the syntax symbols, a target synonymous subset of the syntax symbol is determined from preset synonymous subsets of the syntax symbol. The target synonymous subset of the syntax symbol is encoded according to the preset encoding interval through an arithmetic encoding algorithm to obtain an encoded result sequence corresponding to the syntax symbol sequence. After obtaining a sequence length of the syntax symbol sequence, the sequence length and the encoded result sequence are sent to a decoder for decoding.

Arithmetic encoding and decoding method based on semantic source and related device

Disclosed are a decoding method and a decoding device. In the method, a received sequence and a generator matrix are processed to obtain a hard-decision information sequence and a hard-decision codeword; an error pattern is determined according to the hard-decision information sequence and the hard-decision codeword; then, the error pattern is post-processed and an optimal decoding sequence is output as a decoding result, wherein the optimal decoding sequence is a decoding sequence with a minimized Euclidean distance. According to the present disclosure, the complexity of the algorithm is reduced while the effective decoding performance can be ensured.

Decoding method and decoding device

Disclosed are a decoding method and a decoding device. The decoding method includes: performing a permutation processing on a receiving sequence and a generator matrix to obtain a permuted receiving sequence and an intermediate generator matrix according to a reliability of each bit of the receiving sequence; performing a Gaussian elimination processing on the intermediate generator matrix to obtain a systematic generator matrix generator matrix; performing a hard-decision decoding on the permuted receiving sequence to obtain a hard-decision decoding sequence; in response to determining a preset decoding end condition is not achieved, selecting a target error pattern from an error pattern set; and generating a decoding result based on the target error pattern, the hard-decision decoding sequence, and the systematic generator matrix. The decoding method can ensure the decoding performance and reduce the decoding complexity.

A multiple access method includes: obtaining, by a user equipment (UE), first source information; extracting a semantic feature of the first source information to obtain a first semantic feature sequence; performing a joint source-channel coding on the first semantic feature sequence to obtain a first semantic information sequence; mapping the first semantic information sequence into preset time-frequency resources of an uplink multiple access channel; and transmitting the first semantic information sequence through the uplink multiple access channel.

Multiple access method and related device

The embodiments of the present application provide a polar code construction method and apparatus, which relate to the field of communications technology. The method comprises: obtaining a polar weight spectrum for each polarized channel; calculating an upper bound of error probability of each polarized channel based on the obtained polar weight spectrum, distribution probability density of a fading factor of a fading channel, and a signal-to-noise ratio of the fading channel; taking a logarithm of the calculated upper bound of the error probability for each polarized channel and obtaining a reliability metric of the polarized channel based on the taken logarithm, wherein the smaller the metric value is, the higher the reliability of the polarized channel is; sorting all polarized channels in an ascending order of the reliability metric and selecting part of the polarized channels having a lowest reliability metric for transmitting information bits and the remaining polarized channels for transmitting frozen bits. According to the embodiments of the present application, performing polar code construction under the condition of a fading channel can improve the efficiency of polar code construction.

Polar code construction method and apparatus

A polar code construction method, apparatus, electronic device, and readable storage medium, applied to the field of wireless communication technology to reduce the complexity of polar code construction. The method comprises: calculating a weight spectrum corresponding to a polarized channel of a polar code with code length 2N based on the weight spectrum corresponding to the polarized channel with code length N, and MacWilliams identities; calculating, for each polarized channel, a union bound on the error probability of the polarized channel under the condition of additive white Gaussian noise based on the weight spectrum corresponding to the polarized channel and a union bound formula; determining the error probability threshold values based on the union bounds and a measurement method; sorting the error probability threshold values of all the polarized channels in ascending order, and selecting the polarized channels corresponding to the K smallest error probability threshold values.

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Beijing, China

Kai Niu