Abstract: Aspects of the present disclosure relates to a method, device, and system for transmitting data. The method can include receiving a transport block (TB) transmitted by a transmitting terminal, the TB comprising a plurality of code blocks (CBs), and determining an erroneous CB in the TB, and determining, according to a preset affiliation between CBs and code block groups (CBGs), whether each CBG includes an erroneous CB, any CB corresponding to m CBGs in the affiliation, and m being a preset positive integer. The method can further include, for each CBG, if the CBG includes an erroneous CB, determining that feedback information corresponding to the CBG is a negative acknowledgement (NACK), and if the CBG does not comprise an erroneous CB, determining that the feedback information corresponding to the CBG is a positive acknowledgement (ACK), and transmitting the feedback information corresponding to each CBG to the transmitting terminal.

Abstract: A deep reinforcement learning-based information processing method includes: determining whether a target edge computing server enters an alert state according to a quantity of service requests received by the target edge computing server within a preset time period; when the target edge computing server enters the alert state, obtaining preset system status information from a preset memory library; computing an optimal action value corresponding to the target edge computing server based on a preset deep reinforcement learning model according to the preset system status information and preset strategy information; and generating an action corresponding to the target edge computing server according to the optimal action value, and performing the action on the target edge computing server. A deep reinforcement learning-based information processing apparatus for an edge computing server includes a first determining module, an acquisition module, a first computing module, a first generation module.

Abstract: A network resource scheduling method, apparatus, an electronic device and a storage medium are disclosed. An embodiment of the method includes: upon receipt of a network data stream, determining a traffic type of the network data stream based on the number of data packets of the network data stream received within a specified period of time, lengths of the data packets and reception times of the data packets; for each data packet comprised in the network data stream, determining a target transmission path for the data packet, based on node state parameters of nodes in the network cluster, link state parameters of links in the network cluster, and the traffic type of the network data stream when the data packet is received; and transmitting the data packet via the target transmission path.

Abstract: A method for feeding back a HARQ result includes that: a mapping relationship between each downlink carrier group and each uplink carrier group is determined; a target manner for acquiring a target uplink carrier from the each uplink carrier group is determined; and the mapping relationship and the target manner are sent to the terminal to enable the terminal to feed back a target HARQ result through the target uplink carrier after determining the target uplink carrier in a present uplink carrier group according to the target manner.

Abstract: Disclosed is a low-complexity linear equalization method for an Orthogonal Time Frequency Space (OTFS) system. The method may include: receiving a time domain signal passing through a linear time-varying (LTV) channel; sampling the time domain signal to obtain a sampled signal; demodulating the sampled signal to obtain a demodulated signal; performing a Symplectic Finite Fourier Transform (SFFT) on the demodulated signal to obtain a sampled delay-Doppler domain signal; determining an effective channel matrix in a delay-Doppler domain under a restriction of a rectangular window according to a time domain channel matrix; determining a linear equalization matrix according to the effective channel matrix; and equalizing the sampled delay-Doppler domain signal in a low-complexity way according to the linear equalization matrix. The disclosure also discloses a linear equalization device of an OTFS system for realizing the linear equalization method and a computer-readable storage medium.

Abstract: Embodiments of the present application provide an acoustic sensing-based text input method, comprising: obtaining audio information corresponding to text to be input; dividing the audio information to obtain an audio segment for each letter to be recognized in the text to be input; sending to the server, a type of the text to be input, the audio segments for letters to be recognized, and arrangement of the audio segment for the letter to be recognized in the audio information; receiving input result returned by the server, and displaying, based on the input result, text information corresponding to the text to be input on the display screen of the mobile terminal. The method allows effective text input without relying on a display screen.

Abstract: A signal acquisition method and device. Positioning signals as received are divided into at least two groups and frequency compensation is performed on each group of positioning signals. Each frequency compensated group of positioning signals is divided into at least two signal blocks, and an averaging operation is performed on the signal blocks in each group of signals, so as to obtain block-averaged groups of positioning signals. An acquisition result is determined based on the block-averaged groups of positioning signals. Noise power of each block-averaged group of signals is reduced. Therefore, noise power of received positioning signals can be reduced. This may improve signal-to-noise ratio of received signals and acquisition sensitivity of a receiver. Therefore, acquisition success rate of weak signals is increased.

Abstract: A system of traffic prediction for IoT nodes includes at least one access node, a transmission network and a cloud platform. The access node is configured to collect traffic data, cluster the traffic data into access traffic data and network traffic data, input the access traffic data into an access traffic prediction model to obtain a prediction result of the access traffic at a next moment, and upload the network traffic data and the prediction result of the access traffic to the cloud platform; the cloud platform is configured to input the network traffic data into a network traffic prediction model to obtain a prediction result of the network traffic for each access node at the next moment, and obtain a prediction result of traffic for each node according to the prediction result of the network traffic and the prediction result of the access traffic.

Abstract: Disclosed are methods for beam tracking. In the methods, a transmitting unmanned aerial vehicle (UAV) receives motion state information (MSI) of a receiving UAV and determines a first beam angle from the transmitting UAV to the receiving UAV according to the MSI of the receiving UAV. Then the transmitting UAV selects a codeword from a codebook according to the first beam angle. Finally, the transmitting UAV determines an activated sub-array and a beam-forming vector of the CCA according to the size of the activated sub-array corresponding to the sub-codebook to which the codeword belongs, a second beam angle corresponding to the codeword and a location of a central antenna element of an activated sub-array corresponding to the codeword and transmits information using the beam-forming vector. One or more examples of the present disclosure also provide a method for beam tracking implemented by the receiving UAV, methods for generating a codebook.

Abstract: A random access method and a device thereof are provided. The method includes that a base station receives a random access preamble and sends a Random Access Response (RAR) according to the random access preamble, where the RAR indicates at least two time-frequency units, and the at least two time-frequency units are time-frequency units having different time domains on an unlicensed channel. Further, the base station receives a first random access message 3 (MSG3) sent on a first time-frequency unit by a first terminal and sends a first random access message 4 (MSG4) to the first terminal, where the first time-frequency unit is any one of the at least two time-frequency units, where the first MSG3 includes a terminal identifier of the first terminal, where the first MSG4 carries a terminal identifier of the first terminal and a first Cell-Radio Network Temporary Identifier allocated to the first terminal.

Abstract: A method, device, and non-transitory computer-readable storage medium are provided. The method may be applied to a base station. The base station may receive a random access preamble, transmitted by a terminal through an unlicensed band. The base station may occupy, in a first time window, a first control channel in the unlicensed band through a Listen Before Talk (LBT) mechanism without backoff. The first time window may be a time window where the terminal occupies the unlicensed band. The base station may transmit a first random access feedback is transmitted through the first control channel. The first random access feedback may indicate that the base station receives the random access preamble.

Abstract: An antenna is provided. The antenna includes a substantially transparent base substrate; a first pattern having a first feed point and a second pattern having a second feed point spaced apart from each other; a first feed line electrically connected to the first pattern through the first feed point; and a second feed line electrically connected to the second pattern through the second feed point. A first width along a first direction, of the first pattern, gradually increases along a second direction. A second width along the first direction, of the second pattern, gradually increases along a third direction substantially opposite to the second direction. A third width along a fourth direction, of the first feed line, gradually increases along a fifth direction. A fourth width along a sixth direction, of the second feed line, gradually increases along a seventh direction.

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, and an electronic device for an absolute time synchronization, the method comprising: receiving, from a baseband processing chip, a first timing signaling and a first real system frame information of the received first timing signaling, the first timing signaling comprising a first absolute time corresponding to local time of a base station at time of transmission of the first timing signaling, and a first reference system frame information used by the base station for transmitting the first timing signaling; calculating a first time delay between the base station and the terminal based on at least the first absolute time, if the first real system frame information is consistent with the first reference system frame information; receiving, from the baseband processing chip, subsequent timing signalings and corresponding second real system frame information used by the base station for transmitting the subsequent timing signalings to the te

Abstract: Clustering-based methods, apparatuses for frequency offset determination and elimination and electronic devices are disclosed. The clustering-based method for frequency offset determination includes: determining a constellation diagram for a received signal; determining N different values within a preset frequency interval, as N frequency offset estimates for a frequency offset of the received signal; for each of the frequency offset estimates, correcting the constellation diagram based on the frequency offset estimate to obtain a corrected constellation diagram, clustering signal points on the corrected constellation diagram, and calculating an area of a signal region in the corrected constellation diagram after clustering; and determining a frequency offset estimate corresponding to a signal region with a minimum area as a value of the frequency offset. The embodiments of the present invention can improve the accuracy and stability of the calculated value of the frequency offset.

Abstract: A method for controlling interference includes: dividing a control region in a time domain transmission unit to obtain first and second power regions, the transmission power of the first power region being higher than that of the second power region; dividing all current channels to obtain first and second channel groups; transmitting data carried by all the channels included in the second channel group by means of the first power region, and transmitting data carried by all the channels included in the first channel group by means of the second power region. The method can greatly reduce interference to a PDSCH of a small cell from a PDCCH of a macro base station when the macro base station and the small cell use different parameter sets on the same carrier in a heterogeneous network, without reducing the spectrum utilization rates of the macro base station and the small cell.

Abstract: An artificial intelligence-based networking method for fog radio access networks, which includes: a central computing logic module receives reported data which includes measurement report data from user terminals, wireless transmission data from base stations, and operation and maintenance data from a radio access network. Based on these reported data and proper machine learning algorithms, the central computing logic module configures an operating mode of a radio access network that matches user behavior, service attributes, and radio access network performance indicators. According to the operating mode, an edge computing logic module determines whether to optimize a current configuration of an edge communication entity and allocation of radio resources, computing resources, and caching resources. With proper machine learning algorithms, the proposed networking method meets various service requirements.

Abstract: Disclosed is a method for allocating QKD network resources, which includes the following steps: obtaining a network structure of a QKD network, and constructing a key topology according to distributions condition of quantum key resources in the QKD network; in response to arrival of a service requiring encryption, judging whether the encrypted service is delay sensitive; when the service is delay sensitive, distributing quantum key resources to the service according to the key topology of the QKD network; and when the service is not delay sensitive, distributing quantum key resources to the service according to the network structure of the QKD network. Moreover, the present disclosure also provides a device for allocating QKD network resources and a non-transitory computer-readable storage medium.

Abstract: Disclosed are methods for beam tracking. In the methods, a transmitting unmanned aerial vehicle (UAV) receives motion state information (MSI) of a receiving UAV and determines a first beam angle from the transmitting UAV to the receiving UAV according to the MSI of the receiving UAV. Then the transmitting UAV selects a codeword from a codebook according to the first beam angle. Finally, the transmitting UAV determines an activated sub-array and a beam-forming vector of the CCA according to the size of the activated sub-array corresponding to the sub-codebook to which the codeword belongs, a second beam angle corresponding to the codeword and a location of a central antenna element of an activated sub-array corresponding to the codeword and transmits information using the beam-forming vector. One or more examples of the present disclosure also provide a method for beam tracking implemented by the receiving UAV, methods for generating a codebook.

Abstract: A data receiving method includes: receiving first downlink control information; receiving first data in a subframe subsequent to a subframe corresponding to the first downlink control information; if second downlink control information is not received, storing the first data located between a current subframe and the subframe corresponding to the first downlink control information; if the second downlink control information is received, acquiring demodulation auxiliary information; receiving data overlapping in time domain and frequency domain in a subframe subsequent to a subframe corresponding to the second downlink control information, the overlapping data comprising second data and third data; demodulating the stored first data according to the demodulation auxiliary information to obtain demodulated data corresponding to second user equipment; determining the third data in the overlapping data according to the demodulated data corresponding to the second user equipment; and acquiring the second data from

Abstract: 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.