Abstract: A wireless communication system employs DNNs or other neural networks to provide for RACH techniques. A TX DNN at user equipment (UE) generates and provides for wireless transmission of a Random Access (RA) signal to a base station (BS). A BS receives the RA signal as input, and from this input generates and provides for wireless transmission of an RA Response signal to the UE.

Abstract: A user equipment (UE) manages thermal levels of antenna modules with reference to a temperature threshold. The UE includes multiple antenna modules having a first antenna module and a second antenna module and at least one wireless transceiver coupled to the multiple antenna modules. The UE also includes a processor and memory system implementing an antenna module thermal manager. The manager is configured to obtain a first temperature indication corresponding to the first antenna module of the multiple antenna modules. The manager is also configured to perform a comparison of the first temperature indication to at least one temperature threshold. The manager is further configured to switch, based on the comparison, from using the first antenna module to using the second antenna module for wireless communication with the at least one wireless transceiver.

Abstract: Implementations of the present disclosure can include actions of receiving, by a first smart contract and from a first account, a redemption request for a swap transaction to redeem an amount of the first digital asset for an amount of the second digital asset, responsive to the redemption request, initiating, by the first smart contract, a transfer of a first number of tokens of the first digital asset from the first account to the second account, and notifying, by the first smart contract, a second smart contract, and in response to notification by the first smart contract, initiating, by the second smart contract, minting of the second number of tokens of the second digital asset and transfer of the second number of tokens of the second digital asset to the first account.

Abstract: Implementations of the present disclosure can include actions of receiving, by a first smart contract and from a first account, a redemption request for a swap transaction to redeem an amount of the first digital asset for an amount of the second digital asset, responsive to the redemption request, initiating, by the first smart contract, a transfer of a first number of tokens of the first digital asset from the first account to the second account, and notifying, by the first smart contract, a second smart contract, and in response to notification by the first smart contract, initiating, by the second smart contract, minting of the second number of tokens of the second digital asset and transfer of the second number of tokens of the second digital asset to the first account.

Abstract: Techniques and apparatuses are described for user equipment-coordination set, UECS, hybrid automatic repeat request, HARQ, that establish a HARQ timeline that is specific to the capabilities of a respective UECS. Compared to a single user equipment, UE, the HARQ timeline for a UECS depends on a number of factors, such as the joint processing capability in the UECS, latency of communication over a local wireless network between the UEs in the UECS, or the like. Based on its capabilities, the UECS can request uplink and/or downlink processing delay times or a UECS-specific HARQ timeline from a base station. The base station grants the uplink and/or downlink processing delay times or the UECS-specific HARQ timeline to the UECS in a layer-1, layer-2, or a layer-3 control message. The use of a UECS-specific HARQ timeline increases the reliability of HARQ signaling for uplink and downlink communication between the UECS and a base station.

Abstract: A battery cell chemistry test fixture includes a housing including a battery cell chamber. A first electric terminal is electrically connectable to a battery cell in the battery cell chamber. A second electric terminal is electrically connectable to the battery cell in the battery cell chamber. A plurality of sensor connectors is mounted to the housing. The plurality of sensor connectors include at least a gas sampling connector, a pressure sensor connector, and a valve connector, each of the gas sampling connector, the pressure sensor connector, and the valve connector being fluidically connected with the battery cell chamber.

Abstract: In general, techniques are described that enable voice activation for computing devices. A computing device configured to support an audible interface that comprises a memory and one or more processors may be configured to perform the techniques. The memory may store a first audio signal representative of an environment external to a user associated with the computing device and a second audio signal sensed by a microphone coupled to a housing of the computing device. The one or more processors may verify, based on the first audio signal and the second audio signal, that the user activated the audible interface of the computing device, and obtain, based on the verification, additional audio signals representative of one or more audible commands.

Abstract: In aspects, a non-terrestrial communication system communicates with a user equipment, UE, using repetitive communications. The non-terrestrial communication system determines a repetition configuration for repetitive communications with the UE and indicates the repetition configuration to the UE. The non-terrestrial communication system communicates with the UE using the repetitive communications in accordance with the repetition configuration.

Abstract: Techniques and apparatuses are described for machine-learning architectures for broadcast and multicast communications. A network entity processes broadcast or multicast communications using a deep neural network (DNN) to direct the one or more broadcast or multicast communications to a targeted group of user equipments (UEs) using the wireless communication system. The network entity receives feedback from at least one user equipment (UE) of the targeted group of UEs. The network entity determines a modification to the DNN based on the feedback. The network entity transmits an indication of the modification to the targeted group of UEs. The network entity updates the DNN with the modification to form a modified DNN. The network entity processes the broadcast or multicast communications using the modified DNN to direct the broadcast or multicast communications to the targeted group of UEs using the wireless communication system.

Abstract: The techniques described in this disclosure enhance the reception of the information at a user equipment (UE) from an Active Coordination Set (ACS) of a wireless network system, where the ACS includes a set of base stations that jointly operate to communicate data between the system and the UE. The ACS allocates respective subsets of a plurality of time domain resources for use by corresponding ACS base stations in communicating with the UE, and provides, to the UE, an indication of the allocations. Based on the received allocation indication (502), the UE obtains data payload transmitted by the ACS (508) by tuning to various base stations in accordance with their respective time domain resource allocations (505). The ACS may redundantly transmit selected data payload and/or employ different encoding schemes to further enhance reception of information at the UE.

Abstract: Techniques and apparatuses are described for deep neural network (DNN) processing for a user equipment-coordination set (UECS). A network entity selects (910) an end-to-end (E2E) machine-learning (ML) configuration that forms an E2E DNN for processing UECS communications. The network entity directs (915) each device of multiple devices participating in an UECS to form, using at least a portion of the E2E ML configuration, a respective sub-DNN of the E2E DNN that transfers the UECS communications through the E2E communication, where the multiple devices include at least one base station, a coordinating user equipment (UE), and at least one additional UE. The network entity receives (940) feedback associated with the UECS communications and identifies (945) an adjustment to the E2E ML configuration. The network entity then directs at least some of the multiple devices participating in an UECS to update the respective sub-DNN of the E2E DNN based on the adjustment.

Abstract: Techniques and apparatuses are described for adaptive phase-changing device power-saving operations. In aspects, a base station determines to transition an adaptive phase-changing device (APD) into an enabled APD-PS mode and determines an APD-PS configuration for the APD that specifies a framework for operating in the enabled APD-PS mode. The base station then directs the APD to operate in the enabled APD-PS mode by communicating the APD-PS configuration to the APD and transmits or receives wireless signals using a surface of the APD and based on the APD-PS configuration.

Abstract: A system and method of network slicing for sidelink devices. The method includes establishing a sidelink connection with a second UE (104). The method includes receiving, from the second UE (104) via the sidelink connection (119), a first request for a network slice of a physical network (106). The method includes transmitting, responsive to receiving the first request for the network slice, a first message to the physical network over a first network slice between the first UE (102) and the physical network (106) to request the physical network to establish a second network slice communicatively coupling the second UE (104) to the physical network (106) via the sidelink connection (119).

Abstract: Techniques and apparatuses are described for multiple-input multiple-output transmissions using adaptive phase-changing devices. In aspects, a base station selects one or more adaptive phase-changing devices, APDs, to use in at least one communication path for multiple-input, multiple-output, MIMO, transmissions. The base station can perform a channel characterization process for the at least one communication path using the at least one APD and at least one UE. Based on results of the channel characterization process, the base station configures the at least one APD by which to implement single user-MIMO communication with a UE or multiple user-MIMO communication with multiple UEs. By so doing, the base station may implement MIMO transmissions using APDs to communicate with the at least one UE using same time and frequency resources, which can improve spectral efficiency of a wireless network.

Abstract: A non-terrestrial, wireless communications network (NTN) can assist User Equipments (UEs) in tracking beams generated by NTN base stations for reselection purposes. The NTN determines one or more candidate beams to which the UE can reselect (e.g., while the UE is in an inactive or idle state with respect to controlling radio resources) based on a geographical location of the UE and respective existing and/or predicted non-terrestrial locations of one or more non-terrestrial base stations of the NTN. The NTN transmits an indication of the one or more candidate beams to the UE (and optionally other beam-related information, such as radio access resources and relative priorities), and the UE can reselect a subsequent beam based on the indication received from the NTN. The UE can locally store a mapping of candidate reselection beams to geographical locations for ease and efficiency of future reselections.

Abstract: A network entity transmits, to a first UE and a second UE, a plurality of reference signals via a plurality of beams corresponding to a plurality of subbands, receives, from the first UE, a first indicator of a first beam of the plurality of beams and a first subband of the plurality of subbands satisfying a first threshold, receives, from the second UE, a second indicator of the first beam and a second subband of the plurality of subbands satisfying a second threshold, the second subband being different from the first subband. The network entity further communicates, with the first UE in a slot, a first communication via the first beam and the first subband, and communicates, with the second UE in the slot, a second communication via the first beam and the second subband.

Abstract: The present invention relates to an iron-based alloy that is able to provide a coating on a substrate, the coating having simultaneously high hardness and wear resistance. The iron-based alloy consists of 3.0-7.0% by weight Cr; 1.3-3.0% by weight C; 0.2-2.0% by weight B; 2.0-10.0% by weight V; optionally 1.5% by weight or less Si; optionally 1.0% by weight or less Mn, optionally 2.0% by weight or less Mo; optionally 1.5% by weight or less Ni; the balance being Fe and unavoidable impurities. The present invention further relates to an article comprising a substrate and coating formed thereon, the coating being formed from the alloy, and to a method for forming a coated article. The method preferably employs HVOF, laser cladding or plasma cladding.

Abstract: The present invention relates to an iron-based alloy that is able to provide a coating on a substrate, the coating having simultaneously high hardness and wear resistance. The iron-based alloy consists of 3.0-7.0% by weight Cr; 1.3-3.0% by weight C; 0.2-2.0% by weight B; 2.0-10.0% by weight V; optionally 1.5% by weight or less Si; optionally 1.0% by weight or less Mn, optionally 2.0% by weight or less Mo; optionally 1.5% by weight or less Ni; the balance being Fe and unavoidable impurities. The present invention further relates to an article comprising a substrate and coating formed thereon, the coating being formed from the alloy, and to a method for forming a coated article. The method preferably employs HVOF, laser cladding or plasma cladding.