Abstract: An apparatus includes a transceiver configured to receive, over a wireless communication channel, at least one controlled-noise signal. The apparatus also includes a processor, operatively coupled to the transceiver. The processor is configured to train, based on the at least one controlled-noise signal, a noise prediction model for the wireless communication channel, and generate, based on the trained noise prediction model, a noise prediction for the wireless communication channel. The processor is also configured to determine, based on the received at least one controlled-noise signal and the noise prediction, a score function for the wireless communication channel.

Abstract: The present invention provides a storage tank which comprises a tank body and a sealing cover. A top of the tank body is provided with a tank mouth; the sealing cover can seal the tank mouth; the sealing cover comprises a main cover, a cover plate, a sealing ring, an annular extrusion part and a sealing switch; a top of the main cover is provided with an accommodating groove; the cover plate is covered on the accommodating groove; an edge of the cover plate is covered on the tank mouth; the sealing ring is sleeved and fixed on the outer circumference of the main cover; the annular extrusion part is slidably sleeved on the main cover below the sealing ring ; the sealing switch is located in the accommodating groove. The storage tank has good sealing effect, simple operation and convenient use.

Abstract: A method includes, when a handheld device is in motion within a service area to be traversed by a robot: obtaining ultra-wideband (UWB) ranging measurements between the handheld device and multiple anchors located in the service area; and obtaining image data and inertial measurement unit (IMU) data. The method also includes determining a trajectory of motion of the handheld device based on the UWB ranging measurements. The method also includes adjusting the trajectory based on image features obtained from the image data and motion estimates obtained from the IMU data. The method also includes identifying the adjusted trajectory as a boundary of the service area.

Abstract: A method and device for self-tuning scales of variables for processing in fixed-point hardware. The device includes a sequence of fixed-point arithmetic circuits configured to receive at least one input signal and output at least one output signal. The circuits are preconfigured with control scales associated with each of the input and output signals. A first circuit in the sequence is configured to receive a first input signal having a dynamic true scale that is different from the control scale associated with the first input signal. Each of the circuits is further configured to determine, for each of the output signals, an adaptive scale from the control scale associated with the output signal based on the true scale of the first input signal and the control scale associated with the first input signal, and generate, from the input signal, the output signal having the associated adaptive scale.

Abstract: A method includes partitioning a set of configuration management (CM) data for one or more cellular network devices into multiple distinct time intervals, each time interval associated with a distinct set of CM settings at the one or more cellular network devices, the CM data comprising multiple CM parameters. The method also includes determining a regression model based on the set of CM data. The method also includes applying the regression model to compute a distinct set of scores and compare the set of scores to estimate whether a performance of the one or more cellular network devices has changed during a second time interval relative to a first time interval.

Abstract: Error-correcting performance of polar codes is improved by assigning parity check bits to small, reliable indices. Zeros are assigned to message indices not among a most-reliable set of the message indices, information bits and parity check bits are assigned to the most-reliable set of the message indices, with the parity check bits generated on the information bits assigned to the smallest of the most-reliable set and then assigned to the smallest indices of the most-reliable set that follow the information bits on which the parity check pits are generated. During successive cancellation list decoding, the parity check bits allow error events to be promptly corrected during decoding.

Abstract: Methods and apparatuses for an operation for a channel state information upsampling in a wireless communication system. A method of BS includes: receiving, from a UE, feedback information including at least one SB level precoder; identifying, based on the at least one SB level precoder, a mapping function to perform an up-sampling operation; performing, based on the mapping function, the up-sampling operation to the at least one SB level precoder; and identifying, based on the up-sampling operation, at least one RB level precoder from the at least one SB level precoder for a precoder gain of the BS.

Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.

Abstract: Methods and apparatuses for negotiating a carrier-phase measurement interval in FTM protocol. A method of wireless communication performed by a first STA, the method comprising: negotiating, with a second STA, a duration of a time window for performing carrier-phase (CP) ranging; negotiating, with the second STA, a desired maximum speed of the first STA to be tracked; and negotiating, with the second STA, one or more inter-packet time parameters for use within the time window based on the desired maximum speed of the first STA to be tracked.

Abstract: A method includes identifying a zone blocked from line of sight (LOS) of a gNB; receiving a 3D spatial map of a first area including the zone and a second area that surrounds the zone and that is within both a coverage area and the LOS of the gNB; determining whether the second area includes a mountable surface to which a passive RF reflective metasurface is attachable; and determining whether the metasurface, if attached to the mountable surface, generates a reflection path to the zone, based on a determination that the second area includes the mountable surface and based on estimated propagation paths from the gNB to the zone. The method includes determining whether to add a metasurface to the second area based on: a determination result whether the reflection path from the metasurface attached to the mountable surface to the zone includes reflected signals satisfying a threshold bandwidth condition.

Abstract: A method includes selecting a subset of access points from among multiple candidate access points associated with a building. The method also includes receiving Wi-Fi signal strength data from the subset of access points. The method further includes using a machine learning (ML) localization algorithm to determine a proximity of a device within the building based on the received Wi-Fi signal strength data.

Abstract: Capability of a user equipment to support machine learning adaptation by a base station of a reference signal pattern is signaled between the base station and the user equipment. Configuration information from the base station indicates one or more of enabling or disabling of machine learning adaptation of the reference signal pattern, a machine learning model used for machine learning adaptation of the reference signal pattern, updated model parameters for the machine learning model, or whether model parameters received from the user equipment will be used for machine learning adaptation of the reference signal pattern. Model training may be performed or model parameters received, and reference signals are received from the base station. Information on a reference signal pattern may be transmitted by the user equipment to the serving base station. Assistance information may be transmitted by the user equipment to the base station, which configures a reference signal pattern.

Abstract: Methods and apparatuses for carrier-phase reporting in WiFi ranging. A method of wireless communication performed by an initiating station (ISTA) comprises: providing one or more mechanisms to report carrier-phase information during a fine timing measurement (FTM) protocol between the ISTA and a responding station (RSTA); enabling, via the carrier-phase information, carrier-phase-based relative ranging; and utilizing the carrier-phase information to modify an accuracy for FTM ranging.

Abstract: A method includes obtaining range estimates and carrier phase estimates from each of multiple anchors. The method also includes, in response to determining that a trilateration technique is to be performed, (i) obtaining improved range estimates using the carrier phase estimates and (ii) determining a first location estimate of a target device using the trilateration technique and the improved range estimates. The method also includes, in response to determining that a triangulation technique is to be performed, (i) obtaining differential range estimates using the carrier phase estimates and (ii) determining a second location estimate of the target device using the triangulation technique and the differential range estimates. The method also includes combining the first location estimate and the second location estimate to determine an overall location estimate of the target device.