Abstract: A method, apparatus and system for implementing zero-knowledge proofs is provided. Partitioned garbled circuits are used to achieve a joint zero-knowledge proof system with full syntax verification. A polylithic syntax is used for handling complex semantics involving more than one statement to be proved and verified. Multiple verifiers can participate in a coordinated manner to perform the verification. Different verifiers can perform different parts of the verification.

Abstract: The present disclosure relates, in part, to non-terrestrial communication systems, and in some embodiments to the integration of terrestrial and non-terrestrial communication systems. Non-terrestrial communication systems can provide a more flexible communication system with extended wireless coverage range and enhanced service quality compared to conventional communication systems. A method representative of aspects of the present application includes receiving, by an apparatus connected in a first sub-system, from a radio access network, configuration information for performing a channel condition measurement on a second sub-system, reporting, by the apparatus to the radio access network, channel condition measurement of a downlink reference signal received from the second sub-system, transmitting, by the apparatus, a wireless transmission to the second sub-system responsive to the channel condition measurement meeting a predefined condition.

Abstract: A chassis with built-in handles which do not add to dimensional clearance required for the chassis to be placed in a cavity includes a side plate, a mounting unit, and a handle. A mounting groove is defined on the side plate. The mounting unit is coupled to the side plate. The handle is partially clamped by the side plate and the mounting unit, and rotatably coupled with the side plate. By rotating the handle, the handle can be stored at least flush in the mounting groove.

Abstract: A locking assembly can lock a workpiece. The workpiece includes a locking hole. The locking assembly includes a housing, a movable component, and an unlocking handle. The movable component includes a sleeve, a pin, and an unlocking cover. The sleeve is mounted on the housing. The pin is accommodated in the sleeve, and a portion of the pin protrudes from the housing and accommodated in the locking hole. The unlocking cover is fixed to the pin. The unlocking handle is disposed between the unlocking cover and the sleeve. The unlocking cover can be pulled from a first direction to move the pin out of the locking hole; or the unlocking handle can be pulled from a second direction intersecting with the first direction, and the unlocking handle can abut against the unlocking cover to drive the pin to move out of the locking hole.

Abstract: Signaling resource overhead associated with current communication link adaptation mechanisms can be quite large and such mechanisms typically rely upon a channel state information (CSI) feedback process that can result in poor scheduling performance. Embodiments are disclosed in which a first device channel state information characterizing a wireless communication channel between the first device and a second device, and trains a machine learning (ML) module of the first device using the CSI as an ML module input and one or more modulation and coding scheme (MCS) parameters as an ML module output to satisfy a training target. By applying the concepts disclosed herein, overhead associated with feedback for MCS selection may be reduced compared to conventional link adaptation procedures, because, once ML modules at a pair of devices have been trained, the MCS selection by the ML modules can be done without requiring the ongoing feedback of CSI.

Abstract: A method and system are provided for scheduling data transmission in a Multiple-Input Multiple-Output (MIMO) system. The MIMO system may comprise at least one MIMO transmitter and at least one MIMO receiver. Feedback from one or more receivers may be used by a transmitter to improve quality, capacity, and scheduling in MIMO communication systems. The method may include generating or receiving information pertaining to a MIMO channel metric and information pertaining to a Channel Quality Indicator (CQI) in respect of a transmitted signal; and sending a next transmission to a receiver using a MIMO mode selected in accordance with the information pertaining to the MIMO channel metric, and an adaptive coding and modulation selected in accordance with the information pertaining to the CQI.

Abstract: An information transmission method and an apparatus. The information transmission method includes: a receive end sends first indication information, where the first indication information indicates a target receiving mode of the receive end, and the target receiving mode is one of a plurality of receiving modes. The receive end receives service information based on the target receiving mode. The receive end performs decoding processing on the service information based on the target receiving mode. In this way, power consumption can be further reduced, and information transmission of a plurality of service types can be supported, thereby improving information transmission flexibility and user experience.

Abstract: Current radio frame structures in Long-Term Evolution (LTE) and New Radio (NR) have some restrictions. A frame structure is disclosed herein that aims to provide more flexibility. Embodiments of the flexible frame structure include different parameters that are flexible, i.e. that are configurable. A non-exhaustive list of parameters that may be configurable include: length of the frame; length of a subframe (if a subframe is even defined); length of a slot and/or number of symbol blocks in a slot (if a slot is even defined); length of the CP and/or data portion in a symbol block, or ratio of CP to data portion, which may vary between symbol blocks; downlink/uplink switching gap length, etc.

Abstract: Methods and devices utilizing artificial intelligence (AI) or machine learning (ML) for customization of a device specific air interface configuration in a wireless communication network are provided. An over the air information exchange to facilitate the training of one or more AI/ML modules involves the exchange of AI/ML capability information identifying whether a device supports AI/ML for optimization of the air interface.

Abstract: Embodiment techniques map parity bits to sub-channels based on their row weights. In one example, an embodiment technique includes polar encoding, with an encoder of the device, information bits and at least one parity bit using the polar code to obtain encoded data, and transmitting the encoded data to another device. The polar code comprises a plurality of sub-channels. The at least one parity bit being placed in at least one of the plurality of sub-channels. The at least one sub-channel is selected from the plurality of sub-channels based on a weight parameter.

Abstract: In accordance with an embodiment, a method of operating a base station configured to communicate with at least one user device includes transmitting a reference signal to the at least one user device, receiving channel quality information from the at least one user device, and forming a beam based on the channel quality information received from the at least one user device.

Abstract: According to the present disclosure, there are provided methods and devices for estimating a high-dimensional MIMO channel by expressing the MIMO channel in the form of a flow function to determine a change from an input state to an output state. This may be considered similar to a manner in which fluid dynamic problems are solved. Instead of using linearization to estimate all of the coefficients of a matrix representing a MIMO channel, a receiver may determine the MIMO channel rank by detecting leading modes in a subspace of the entire MIMO channel matrix.

Abstract: Methods and systems are provided for allocating resources including VoIP (voice over Internet Protocol) and Non-VoIP resources. In some embodiments, multiplexing schemes are provided for use with OFDMA (orthogonal frequency division multiplexing access) systems, for example for use in transmitting VoIP traffic. In some embodiments, various HARQ (Hybrid Automatic request) techniques are provided for use with OFDMA systems. In various embodiments, there are provided methods and systems for dealing with issues such as Handling non-full rate vocoder frames, VoIP packet jitter handling, VoIP capacity increasing schemes, persistent and non-persistent assignment of resources in OFDMA systems.

Abstract: Systems, methods, and apparatus on wireless network architecture and air interface are disclosed. In some embodiments, sensing agents communicate with user equipments (UEs) or nodes using one of multiple sensing modes through non-sensing-based or sensing-based links, and/or artificial intelligence (AI) agents communicate with UEs or nodes using one of multiple AI modes through non-AI-based or AI-based links. AI and sensing may work independently or together. For example, a sensing service request may be sent by an AI block to a sensing block to obtain sensing data from the sensing block, and the AI block may generate a configuration based on the sensing data. Various other features, related to example interfaces, channels, and other aspects of AI-enabled and/or sensing-enabled communications, for example, are also disclosed.

Abstract: This application provides an encoding method, a decoding method, and a communication apparatus, to improve encoding and decoding performance. The method includes: obtaining n information bit sequences, where n is a quantity of antenna ports, and n is a positive integer greater than 1; performing first channel encoding on the n information bit sequences to obtain n first encoded sequences, where the n first encoded sequences have a same length; generating n second encoded sequences based on a polar encoding matrix and the n first encoded sequences; and outputting the n second encoded sequences.

Abstract: Embodiments of this application relate to the field of communications technologies, and provide an encoding and decoding method and apparatus, to reduce encoding/decoding complexity and improve encoding/decoding performance. In the method, a transmit device may obtain N to-be-encoded vectors. The transmit device may encode the N to-be-encoded vectors based on a polar code kernel matrix, to obtain N temporary code blocks. The transmit device may respectively perform a mask operation on target bit sequences in an (n+1)th temporary code block to an (n+M)th temporary code block and a source bit sequence segment of an nth temporary code block, to obtain M mask bit sequences. The transmit device may respectively encode the M mask bit sequences based on the polar kernel matrix, to obtain M encoded mask bit sequences. The transmit device may sum the M encoded mask bit sequences and M temporary code blocks, to obtain M first code blocks.

Abstract: Methods and devices utilizing artificial intelligence (AI) or machine learning (ML) for customization of a device specific air interface configuration in a wireless communication network are provided. An over the air information exchange to facilitate the training of one or more AI/ML modules involves the exchange of AI/ML capability information identifying whether a device supports AI/ML for optimization of the air interface.

Abstract: Embodiments of this application disclose a communication method and a communication apparatus, to reduce a PAPR of a signal sent by a sending device by using an FDSS waveform processing manner, and reduce decoding power consumption of a receiving device by using a polar code encoding manner. This improves communication energy efficiency. In this method, the sending device performs frequency domain spectrum shaping FDSS processing on a first signal, to obtain a second signal, where the first signal is a signal obtained by performing polar code encoding based on a modulation and coding scheme; and then, the sending device sends a target signal to the receiving device, where the target signal is a signal obtained based on the second signal.

Abstract: Current radio frame structures in Long-Term Evolution (LTE) and New Radio (NR) have some restrictions. A frame structure is disclosed herein that aims to provide more flexibility. Embodiments of the flexible frame structure include different parameters that are flexible, i.e. that are configurable. A non-exhaustive list of parameters that may be configurable include: length of the frame; length of a subframe (if a subframe is even defined); length of a slot and/or number of symbol blocks in a slot (if a slot is even defined); length of the CP and/or data portion in a symbol block, or ratio of CP to data portion, which may vary between symbol blocks; downlink/uplink switching gap length, etc.

Abstract: In accordance with an embodiment, a network device has an input port for receiving input packets, and an output port for sending output packets, where the input packets and output packets have context layer information. The network device also includes a processor configured to process the input packets and output packets using a network protocol having a context layer.