Huawei Technologies Co., Limited

Zhejiang Lab

Zte Corporation

Chen Xu

Jun Wang

Rong Li

Jian Wang

Wei Zhang

Gongzheng Zhang

Lingchen Huang

Yunfei Qiao

Shengchen Dai

Huazi Zhang

Yinggang Du

Yourui Huangfu

Hejia Luo

Zukang Shen

Ying Chen

Wei Chen

Yue Zhou

Jian Jun Wang

Guijie Wang

Yiqun Ge

Carmela Cozzo

Nikita Andreevich Polianskii

Mikhail Sergeevich Kamenev

Branislav M Popovic

Wei Ye Chen

Mikhail Kamenev

Nikita Polianskii

Jun Chen

Rongdao Yu

Yong Xie

Chaolong Zhang

Anahid Robert Safavi

Alberto Giuseppe Perotti

Jie Jin

He Zhang

Tianhang Yu

Zhenting Li

Dali Qin

Haitao Zhou

Yanlin Liu

Mengmeng Liu

Mingmin Zhao

Dandan Huang

Qiongqian Yang

Hongzhan Wang

Yourui Haungfu

The disclosure discloses a computing task allocation method, an updating method for computing task allocation, a terminal and a network device. When a computing task of a terminal is generated, computing task allocation is performed using at least one of a centralized mode, a distributed mode, or a hybrid mode; the computing task allocation includes communication resource allocation, computing resource allocation, and a task offloading decision; the above computing task allocation method subjected to dynamically updating according to a terminal state, a network state or a task state. Therefore, the compromise problem between overall system performance optimization and device fairness in a cloud-edge collaborative IoT system is solved.

Methods, terminals and network devices for computing task allocation and updating

This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of Npolarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K≤N, N=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

Polar code encoding method and apparatus in wireless communications

A scheduling method, scheduling algorithm training method, related system, and storage medium are provided including the scheduling method being applied to a scheduling control system, which includes K network devices, and K is an integer greater than 1. The method further includes a first network device that obtains target state information of a first area, where the target state information includes network state information and user data packet cache information. The first network device generates first scheduling information based on the target state information of the first area and a first target sub-policy network, where the first target sub-policy network is a target sub-policy network that is in K target sub-policy networks and that corresponds to the first network device. The first network device delivers the first scheduling information to a terminal in the first area.

Scheduling method, scheduling algorithm training method, related system, and storage medium

According to a scheduling method and apparatus in a communication system, and a storage medium, a communication device obtains system status information, where the system status information includes network status information; obtains a scheduling policy based on the system status information and a deep neural network; and performs communication according to the scheduling policy. The deep neural network is obtained through training based on historical system status information, and the historical system status information includes system status information in all scheduling periods before a current scheduling period. Therefore, the scheduling policy obtained based on the deep neural network can meet a balancing requirement of throughput and fairness and solves a problem of low performance of an existing communication system.

Scheduling method and apparatus in communication system, and storage medium

This application provides a scheduling method and apparatus. The method includes: a network device uses a scheduling model applicable to K users for one or more times, and determines a scheduled terminal device based on scheduling weights output by the scheduling model for one or more times. Each time the scheduling model is used, status information of K terminal devices in n to-be-scheduled terminal devices is input to the scheduling model, and the scheduling model outputs scheduling weights respectively corresponding to the K terminal devices, where K is an integer greater than 1, and n is an integer greater than K. Therefore, regardless of a quantity of to-be-scheduled terminal devices in a communication system, the network device may reuse the scheduling model without re-establishing a scheduling model, so that the scheduling model is expandable and applicable to scenarios in which quantities of to-be-scheduled terminal devices are different.

Scheduling method and apparatus

This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of Npolarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K&#x2264;N, N=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

This disclosure provides a data retransmission method and apparatus. The method includes: A transmitting device obtains information to be transmitted for a ttime, where the information to be transmitted for the ttime includes Rextension locations and information to be transmitted for a (t&#x2212;1)time, and the extension locations include Minformation bits and Lcheck bits corresponding to the Minformation bits. The transmitting device then performs Polar encoding on the information to be transmitted for the ttime, to obtain a codeword after the Polar encoding, obtains a codeword for (t&#x2212;1)retransmission based on the codeword after the Polar encoding, and transmits the codeword for (t&#x2212;1)retransmission. A receiving device performs polar decoding after receiving the codeword for (t&#x2212;1)retransmission, to obtain a decoding result of codewords for t times of transmission. By performing, on an encoding side, check encoding on the information bits in an extension part, a decoding path can be reduced in a decoding process, thereby greatly reducing decoding complexity, and reducing storage overheads and calculation overheads.

Data retransmission method and apparatus to obtain information to be transmitted and to perform Polar encoding on the information

This application provides an encoding method and apparatus in wireless communications between a network device and a terminal. The method includes: performing cyclic redundancy check (CRC) encoding on A to-be-encoded information bits based on a CRC polynomial, to obtain a first bit sequence, where the first bit sequence includes L CRC bits and A information bits, L=11; and performing polar encoding on the first bit sequence.

Channel decoding method and apparatus in wireless communications

A data processing method and a data processing apparatus are provided to reduce a bit error rate of a wireless communications system and improve transmission performance of the wireless communications system. The method includes: mapping L to-be-sent bits to L bit locations included in at least one modulation symbol, where the L to-be-sent bits include at least one bit field, a bit in a bit field having a high priority is preferentially mapped to a bit location that is of the at least one modulation symbol and that has a high reliability level, the at least one bit field is at least one of an information bit field, a first parity bit field, and a second parity bit field; and outputting the at least one modulation symbol.

Wireless communication data processing method and apparatus for reducing bit error rate

This application discloses a polar code interleaving processing method and apparatus. The method includes: determining N to-be-encoded bits, where N is a positive integer; obtaining a first sequence that includes sequence numbers of N polarized channels, where the first sequence is used to indicate a reliability order of the N polarized channels; performing polar encoding on the N to-be-encoded bits to obtain encoded bits; and performing interleaving processing on the encoded bits based on the first sequence. Because the first sequence used to indicate the reliability of the polarized channels is a sequence already existing in a polar code encoding process, no additional storage resource needs to be used to store the first sequence in the interleaving processing process, thereby reducing use of storage resources.

Polar code interleaving processing method and apparatus

This application provides an encoding method and apparatus in a wireless communications system. The method includes: performing cyclic redundancy check (CRC) encoding on A to-be-encoded information bits based on a CRC polynomial, to obtain a first bit sequence, where the first bit sequence includes L CRC bits and the A information bits; and performing polar encoding on the first bit sequence, where L has a value of one of 3, 4, 5, 8, and 16. Based on an improved CRC polynomial, coding satisfying a false alarm rate (FAR) requirement is implemented.

Encoding method and apparatus

Embodiments of this application provide an information processing method and a coding apparatus. An information bit sequence includes a K-bit information block. The information bit sequence is to be processed into an encoded bit sequence with a target code length M. For a given code rate R, when the length K of the information block is greater than a preset threshold, the information bit sequence is segmented into two or more segments. Each segment is polar encoded into an encoded subsequence. The encoded subsequence has a length that equals to a mother code length Ni, and i=1, 2, . . . , p. Each of the p encoded subsequences is rate matched to obtain a rate-matched encoded subsequence. A rate-matched encoded subsequence i of the p rate-matched encoded subsequences has a code length Mi. The p rate-matched encoded subsequences are concatenated into an encoded bit sequence which has a code length M.

Method and coding apparatus for processing information using a polar code

Embodiments of this application provide a method for encoding data in a wireless communication network. A communication device obtains an information bit sequence of a bit length K and a code length M. When M is greater than or equal to a first threshold and K is greater than or equal to a second threshold, the device divides the information bit sequence into p subsequences that are of an equal length K. Then the device encodes each of the p subsequence to obtain p encoded subsequences. The device rate-matches each of the p encoded subsequences to obtain p rate matched subsequences, concatenates the p rate matched subsequences to obtain the output sequence of the code length M, then outputs the output sequence.

Method for encoding information bit sequence in communication network

The present disclosure relates to polar code encoding methods and apparatus. One example method includes obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the sequence numbers of the N polarized channels are arranged in the first sequence based on reliability of the N polarized channels, K is a positive integer, N is a mother code length of a polar code, N is a positive integer power of 2, and K&#x2264;N, selecting sequence numbers of K polarized channels from the first sequence in descending order of reliability, placing the K to-be-encoded bits based on the selected sequence numbers of the K polarized channels, and performing polar code encoding on the K to-be-encoded bits.

Polar code encoding method and apparatus

This application relates to the field of wireless communications technologies, and discloses an encoding method and apparatus, to improve accuracy of reliability calculation and ordering for polarized channels. The method includes: obtaining a first sequence used to encode K to-be-encoded bits, where the first sequence includes sequence numbers of N polarized channels, the first sequence is same as a second sequence or a subset of the second sequence, the second sequence comprises sequence numbers of N, polarized channels, and the second sequence is the sequence shown in Sequence Q11 or Table Q11, K is a positive integer, N is a positive integer power of 2, n is equal to or greater than 5, K&#x2264;N, N=1024; selecting sequence numbers of K polarized channels from the first sequence; and performing polar code encoding on K the to-be-encoded bits based on the selected sequence numbers of the K polarized channels.

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Hangzhou, China

Chen Xu