Abstract: Embodiments of this application provide a method including: in a process of handing over a terminal side device, a source access network side device of the terminal side device and a target access network side device interacts with time division multiplexing (TDM) pattern configuration or uplink power configuration.

Abstract: A driving backplane, a manufacturing method thereof, a light-emitting substrate are provided. In the driving backplane, a first conductive layer on a substrate; a first organic film layer is between the first conductive layer and second conductive layer, the first organic film layer has first via holes; a first inorganic film layer is on one side of first organic film layer away from the substrate; the second conductive layer is on one side of first inorganic film layer away from first organic film layer, the second conductive layer and the first conductive layer are connected through the first via holes; orthographic projections of the first conductive layer and second conductive layer have an overlapping region, the overlapping region includes a region including orthographic projection of the first via holes, and a first region, an orthographic projection of the first inorganic film layer covers parts of the first region.

Abstract: Provided are an array substrate and a manufacturing method thereof, and a display device. The array substrate comprises a plurality of data lines and sub-pixels. At least one sub-pixel comprises: a first insulating layer; a gate; an active layer located on one side of the first insulating layer away from the gate; a pixel electrode; a first electrode located connected to the active layer and in contact with the pixel electrode; a second electrode connected to the active layer and a data line; a second insulating layer having a first opening, wherein the orthographic projection of the first opening partially overlaps with the orthographic projections of the pixel electrode and the first electrode; a connection electrode in contact with the pixel electrode and the first electrode through the first opening; and a common electrode located on one side of the second insulating layer away from the pixel electrode.

Abstract: The present disclosure discloses a fabricated air conditioner wall and an operation method thereof, and the fabricated air conditioner wall included a precast wall and a heat pump system embedded in the precast wall. The components of the fabricated air conditioner wall are mass-produced and assembled in factories. The fabricated air conditioner wall mainly includes an indoor heat exchanger, a throttle valve, a condensate water tank, a four-way valve, a wall-buried pipe, a compressor, and an outdoor heat exchanger. In a cooling mode, condensate water is collected in the condensate water tank to cool the refrigerant. In winter, when the precast wall is illuminated by sunlight, a temperature of an outer wall is often higher than a temperature of outdoor air, and this solar energy can be reasonably utilized by the wall-buried pipe, thereby improving the heating effect of the air conditioner itself.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: Facilitating implementation of communication network deployment through network planning in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can include, configuring a first deployment scenario for first network equipment and a second deployment scenario for second network equipment. The first deployment scenario is selected from a group of first deployment scenarios and can include a first parameter. The second deployment scenario is selected from a group of second deployment scenarios and can include a second parameter. The configuring can include determining that a sum of the first parameter and the second parameter satisfies a function of a defined parameter level. The operations also can include facilitating a first enactment of the first deployment scenario for the first network equipment and a second enactment of the second deployment scenario for the second network equipment.

Abstract: Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.

Abstract: A method and a system for detecting heavy metal ions are provided. The method includes: fixing a pre-manufactured micro-electrode chip on a connecting device, connecting the connecting device to an electrochemical workstation, carrying out setting before detection on the electrochemical workstation, the micro-electrode chip including a counter electrode and a working electrode, carrying out graphene modification treatment on the counter electrode in advance, and carrying out bismuth film modification treatment on the working electrode in advance; and carrying out acid pretreatment on an aqueous solution to be detected, dropwise adding 5 µL to 100 µL of a treated aqueous solution to a working area of the pre-manufactured micro-electrode chip, measuring an I-V curve by the electrochemical workstation subjected to the setting before detection, and determining species and concentrations of heavy metal ions in the aqueous solution according to peak values of voltage and current of the I-V curve.

Abstract: A processing system including at least one processor may obtain operational data from a radio access network (RAN), format the operational data into state information and reward information for a reinforcement learning agent (RLA), processing the state information and the reward information via the RLA, where the RLA comprises a plurality of sub-agents, each comprising a respective neural network, each of the neural networks encoding a respective policy for selecting at least one setting of at least one parameter of the RAN to increase a respective predicted reward in accordance with the state information, and where each neural network is updated in accordance with the reward information. The processing system may further determine settings for parameters of the RAN via the RLA, where the RLA determines the settings in accordance with selections for the settings via the plurality of sub-agents, and apply the plurality of settings to the RAN.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: The described technology is generally directed towards user equipment geolocation. Network measurement data associated with user equipment can be separated into static periods in which the user equipment was not moving, and moving periods in which the user equipment was moving. Static location processing can be applied to determine static locations from the static period network measurements, and moving location processing can be applied to determine moving locations from the moving period network measurements. Resulting static location information and moving location information can then be merged in order to improve the accuracy of both the static and the moving location information. The enhanced accuracy location information can be stored and used for any desired application.

Abstract: User quality of experience assessment in radio access networks is provided herein. A method can include measuring an average packet size of incoming data packets received via a radio access network, the incoming data packets respectively comprising data directed to respective network equipment served via the radio access network; determining service metrics for outgoing data packets transmitted via the radio access network to the respective network equipment in response to the incoming data packets being received via the radio access network, wherein the service metrics comprise an average transmission delay for the outgoing data packets and a packet loss rate for the outgoing data packets; and determining a quality of experience value associated with a performance of the radio access network based on a function of the average packet size of the incoming data packets and the service metrics for the outgoing data packets.

Abstract: Intelligent, adaptive scheduling weight adjustment is enabled, e.g., to improve network performance. For instance, A non-transitory machine-readable medium can comprise executable instructions that, when executed by a processor, facilitate performance of operations, comprising based on key performance indicators corresponding to data traffic flows via a network, determining quality of service data representative of respective qualities of service for the data traffic flows, using a scheduling weight data traffic model generated using machine learning and trained using past quality of service data representative of past qualities of service of past data traffic flows via the network, from prior to the data traffic flows, and past scheduling weight settings applied to the past data traffic flows, determining a scheduling weight setting to be applied to a data traffic flow of the data traffic flows, and applying the scheduling weight setting to the data traffic flow.

Abstract: Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.

Abstract: The described technology is generally directed towards user equipment (UE) geolocation using a long history of network information. In some examples, a long history of network information associated with a UE can be processed to identify frequently repeated serving cell and correlated timing advance values. The frequently repeated serving cell and correlated timing advance values are indicative of frequently visited places. Next, the long history can be leveraged to determine locations of the frequently visited places with enhanced accuracy, and the resulting enhanced accuracy locations can be identified in a location lookup table for the UE. When the UE subsequently connects to the frequently repeated serving cell and the correlated timing advance value is observed, the location lookup table can be used to quickly assign an enhanced accuracy location to the UE.

Abstract: The described technology is generally directed towards spammer location detection, and in particular, to locating a spammer that makes multiple calls from a given location via a cellular communications network. In some examples, network equipment can obtain call trace records associated with the multiple calls, identify a group of call trace records based on a shared call trace feature, aggregate data from call trace records within the group, and determine an estimated location based on the aggregated data.

Abstract: Facilitating analysis and resource planning for advanced heterogeneous networks (e.g., 5G, 6G, and beyond) is provided herein. A system is provided that includes a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can include determining that a resource is to be added to existing resources at a grid level of a heterogeneous network. Further, the operations can include selecting candidate locations for placement of the resource based on a coverage-driven objective and a capacity-driven objective defined for the heterogeneous network. The coverage-driven objective can be associated with a demand for services within the grid level of the heterogeneous network. The capacity-driven objective can be associated with demand growth within the grid level of the heterogeneous network. The resource can be a fifth generation millimeter wave node or a cloud radio access network node.

Abstract: Locations and azimuths of cells of a communication network can be estimated, determined, and validated. Cell attribute management component (CAMC) can estimate, determine, and/or validate cell locations based on analysis of timing advance (TA) measurement data and/or location data associated with devices associated with base stations associated with cells. CAMC can estimate azimuth of a cell associated with a base station based on analysis of a validated cell location of the cell and location data associated with devices associated with the cell. CAMC can determine whether a recorded azimuth of the cell is validated based on analysis of the estimated azimuth of the cell and the recorded azimuth of the cell. CAMC can tag the recorded azimuth of the cell as validated if applicable azimuth accuracy criteria is met, inaccurate if applicable azimuth criteria is not met, or omni if the cell is an omni cell.