On-Device Multi-Network Switching Enhancements

This publication describes systems and techniques directed to on-device multi-network switching using cell measurements. The described systems and techniques include an on-device network-switching manager application that directs the user equipment to perform operations that include proceeding with a handover of a wireless connection between the user equipment and a serving cell of a first wireless network to a neighboring cell of the first wireless network. The user equipment determines that a signal received from a cell of a second wireless network meets a quality threshold. After completing the handover of the wireless connection to the neighboring cell of the first wireless network, the user equipment determines that another signal received from the neighboring cell of the first wireless network does not meet the quality threshold. The user equipment then initiates a handover of the wireless connection, between the user equipment and the neighboring cell of the first wireless network, to the cell of the second wireless network

Image recognition for consumer shopping applications

This disclosure utilizes image recognition techniques in consumer retail applications. Objects in an image are recognized and corresponding retail information, e.g., links to purchase an object, is provided to users. Image recognition techniques are integrated into point of sale applications and utilized for product identification based on a barcode, a QR code, based on the image of the product, etc. Application program interfaces are provided to link the image recognition application with payment processing and inventory management systems

Device History Recall Optimization with Virtual, Locally-Stored Acquisition Databases Using Previously Encountered Communication Access Points and Services

A mobile communication device of an end user (user equipment or “UE”) can use more than one radio access technology (“RAT”) such as GSM, WCDMA, TDS-CDMA, LTE, and NR. Searching for information needed by the UE to use a specific RAT can consume large amounts of power and time. Locally stored acquisition databases (“PLMN Info DBs”) of previously encountered communication access points and services can speed up searches, but can be limited by the storage capacity of the UE. Also a locally stored PLMN Info DB may be invalided when a UE moves to a location that is distant from locations where access points and services were previously encountered; e.g., when the UE is moved to a new region, state, or country. A Virtual PLMN Info DB stored on a remote server (e.g., “in the cloud”) can contain a more complete set of acquisition information. A full or abbreviated copy of the Virtual PLMN Info DB can be loaded onto UE from a server or from a peer UE device. Access information contained in the Virtual PLMN Info DB can be obtained by crowdsourcing data acquisition or by peer-to-peer communication. The Virtual PLMN Info DB can be implemented as a database or as a logic entity with specific functions to enable the acquisition of corresponding data elements on demand

A Case of Land Use and Urban Planning in the Expansive-Soil District

Taking the construction and reform planning for new town of Yunxian County as an example, this paper deals with the principles of land development and use and town construction and reform planning in the expansive-soil area in the case of undulating mountain topography, including the problems of treating expansive-soil slope, of treating expansive-soil foundation etc., not involving other aspects of general planning

Wi-Fi and Cell Coexistence Mechanism Accounting for Co-Interference

Co-interference between Wi-Fi and cellular radios, e.g., in a wireless communication device that is concurrently operating using Wi-Fi and cellular radio technologies, is managed using victim tables that indicate channels that can potentially co-interfere. The victim tables are implemented as lookup tables (LUTs) that include entries for combinations of cell band and Wi-Fi and/or channel. The entries indicate whether the Wi-Fi channel is safe or should be avoided because there is a high likelihood of co-interference. The entries also include a power back off that indicates that the Wi-Fi subsystem is to back off its transmission power setting by a specified amount to become a safe channel

Link Capacity Estimation for Devices in Idle State

In order to estimate throughput between a user device and a radio access network (RAN), a modem of the user device may estimate the link capacity of the link between the user device and the RAN. When the user device is in a connected state, the modem can determine link capacity estimation (LCE) values directly, based on signal strength parameter values measured by the modem from signals received by the user device from a given RAN. In order to estimate the link capacity for a user device that is in an idle mode, the modem of the user device may maintain, in memory, one or more look-up tables (LUTs) in which historical, aggregate LCE values are stored and organized into various buckets according to signal strength parameter type and signal strength measurement value range. The modem may obtain signal strength parameter measurements while the user device is in a connected state, calculate an LCE value for each signal strength parameter measurement, and update a moving average or weighted average of LCE values for a corresponding bucket. When the user device enters the idle mode from the connected mode, the modem receives signal strength parameter measurements (e.g., from paging signals received by the user device from a RAN), determines new LCE values (one for each signal strength parameter type) based on those signal strength parameter measurements, identifies the buckets to which each new LCE value correspond, calculates an average of the historical, aggregate LCE values for each identified bucket, then uses the average of the historical, aggregate LCE values to estimate what the throughput will be between the RAN and the user device when the user device transitions back to the connected state

5G Component Carrier Disabling Based on Downlink and Uplink Grant Characteristics

5G networks allow a user equipment (UE) such as a smartphone to connect to the network via different component carriers, but this can undesirably increase UE power consumption. To reduce power consumption, the UE selectively turns off 5G for individual component frequencies based on the available resources and slots associated with each component frequency. The UE detects the downlink and uplink resource blocks and slots for each component frequency, and if the resource blocks or slots are below corresponding thresholds, turns off 5G for the carrier

Selective Disabling of Antenna Modules Affected by Handgrip or Other Blockage

User equipment (UE) employing millimeter-wave (mmWave) radio frequency (RF) signaling uses one or more techniques to detect signaling blockages caused by handgrip, body blockage, or lack of line-of-sight with the wireless base station, identifies one or more antenna modules of an array of antenna modules of the UE affected by the blockage, and temporarily disables the one or more affected antenna modules until the blockage is no longer present. As the UE otherwise would consume considerable power attempting to overcome the blockage at the affected antenna module, either by transmitting at a higher power to overcome the attenuation caused by the blockage or to continue to ineffectively scan via the affected antenna module, this selective antenna module disablement process can reduce power consumption at the UE while facilitating a high-quality user experience

Optimizing Power Consumption for Mobile User Equipment

A mobile user equipment selectively enables access to cells based on its mobility state and velocity, as well as the size of the cells. Power consumption and other resources consumed during handoff of mobile user equipment are optimized by determining whether to enable connection to cells based on how long the mobile user equipment is expected to spend in the cells. Geo-fences are used to mark the boundaries of the cells and the mobile user equipment accesses geo-fence information to determine boundaries of the cells. The time the mobile user equipment is likely to spend in the cell is estimated using the velocity of the mobile user equipment and an estimated distance along a path of the mobile user equipment to a boundary of the cell. Access to the cell is disabled if the time is lower than a threshold that is determined based on resource consumption for connecting to the cell