Abstract: Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Abstract: Systems and methods for providing AI-based cost estimates for services are disclosed. The method may comprise receiving, at one or more processors, data from a scanning of a location, the scanning performed by one or more of a camera, a computer vision device, an inertial measurement unit, or a depth sensor. Data may be received, at one or more processors, related to the identification of one or more key elements at the location. An itemized statement and quote of work to be performed may be generated at one or more processors.

Abstract: Systems and methods for providing AI-based cost estimates for services are disclosed. The method may comprise receiving, at one or more processors, data from a scanning of a location, the scanning performed by one or more of a camera, a computer vision device, an inertial measurement unit, or a depth sensor. Data may be received, at one or more processors, related to the identification of one or more key elements at the location. An itemized statement and quote of work to be performed may be generated at one or more processors.

Abstract: Systems and methods for providing AI-based relocation cost estimates for services and products are disclosed. The method may comprise receiving description data of a location, the description data generated via at least one or more of a camera, a user interface, and/or one or more environment sensors. The method may generate an inventory list comprising a plurality of items, utilizing the machine learning model, based on the description data, the inventory list further comprising inventory attributes associated with the plurality of items related to a context of the plurality of items in the location. The method may generate, utilizing the machine learning models, one or more interactive quotes for relocation cost estimates comprising at least one or more offers for products and/or services based on the plurality of items in the inventory list and the inventory attributes.

Abstract: Apparatus and methods of mobility management include identifying a target cell as an active set candidate. The apparatus and methods further include determining that a trigger adjustment condition exists, wherein the trigger adjustment condition triggers an adjustment of a timing value that indicates a sending time of a target cell add message to a serving cell. Moreover, the apparatus and methods include sending the target cell add message including the target cell to the serving cell based on determining that the trigger adjustment condition exists.

Abstract: Disclosed is an apparatus, system, and method for a wireless device to select a network. The wireless device receives a request from a user to access a network site. The wireless device then selects a network based upon a predefined weighted criteria setting that was previously selected by the user.

Abstract: Systems and methods for providing AI-based cost estimates for services are disclosed. The method may comprise receiving, at one or more processors, data from a scanning of a location, the scanning performed by one or more of a camera, a computer vision device, an inertial measurement unit, or a depth sensor. Data may be received, at one or more processors, related to the identification of one or more key elements at the location. An itemized statement and quote of work to be performed may be generated at one or more processors.

Abstract: Aspects related to pre-configuring for a serving cell change to neighbor cells are described. In one example, a user equipment (UE) may camp on a first cell. The UE may receive at least one communication including target cell pre-configuration information for one or more neighbor cells eligible for pre-configuration. The UE may determine that the first cell is no longer providing adequate service and identify a target cell, which may be one of the one or more neighbor cells, but is not part of an active set for the UE. The UE may transmit a message (e.g., Event 1d) requesting a serving cell change to the target cell. The UE may configure to receive service from the target cell based on the pre-configuration information associated with the target cell. The UE may receive an indication to perform the serving cell change and perform the serving cell change.

Abstract: Various embodiments for conducting proxy teaching for learning devices within a decentralized system, including an embodiment method with operations for obtaining, by a teacher signaling device, objectives data related to activities of one or more of the learning devices, generating, by the teacher signaling device, teaching routines based on the obtained objectives data, and broadcasting, by the teacher signaling device, teaching signals configured to teach one or more of the learning devices based on the generated teaching routines. Other embodiments may obtain objectives data by requesting reflex information from the learning devices or intercepting event report messages transmitted by the learning devices. Other embodiments may include broadcasting discovery signals to identify nearby learning devices and modifying teaching routines when objectives of the generated teaching routines cannot be achieved.

Abstract: Methods and apparatus are described for opportunistic small cell triggering. The methods and apparatus include determining, by a user equipment (UE) connected to a cell, a change of location of the UE. Further, the methods and apparatus include requesting small cell information from a database based at least in part on the change of location of the UE. Moreover, the methods and apparatus include attempting to detect a small cell based on the small cell information. Additionally, the methods and apparatus include transmitting a message to turn on the small cell when no the small cell is not detected.

Abstract: A small base node such as a Home Base Node (HNB), or femto cell, may reduce its transmit power in order to prevent co-channel or adjacent channel interference, or to limit its coverage area. Once the power is set, the HNB signal to a served Home User Equipment (HUE) its transmit Common Pilot Channel (CPICH) transmit power for accurate path loss estimation. When this power is outside of the permissible range, the HNB adjusts other parameters (such as Random Access Channel (RACH) constant value) to compensate for the error in signaled CPICH power, and thus compensate in that process the error in determining path loss. Similarly, if the uplink sensitivity is adjusted, to prevent interference, parameters would also be adjusted and signaled to the HUE to reflect the link imbalance.

Abstract: Disclosed is an apparatus, system, and method for a wireless device to select a network. The wireless device receives a request from a user to access a network site. The wireless device then selects a network based upon a predefined weighted criteria setting that was previously selected by the user.

Abstract: Methods, devices, systems, and non-transitory process-readable storage media for guiding behaviors of robots within a deployment site by communicating updated instruction sets through beacon devices or other proximity mechanisms. In an embodiment, a processor of a beacon device may perform operations including presenting (e.g., broadcasting, rendering, etc.) an instruction set to a first robot, receiving an instruction set update from the first robot, modifying the stored instruction set with the update, and presenting the modified instruction set to a second robot. Similarly, a robot may be configured with instructions for executing a stored instruction set to cause the robot to perform various actions, generating the instruction set update in response to performing the actions based on an execution of the stored instruction set, and presenting the instruction set update to the beacon device. Robots may also be configured to configure and deploy beacon devices.

Abstract: Apparatus and methods are disclosed for power control of uplink transmissions by a user equipment in a way that can reduce interference to neighbor cells. Various aspects of the disclosure decouple the power control for uplink data transmissions from the power control for uplink for a control channel transmissions. For example, one type of power control command may be utilized to control the power the UE utilizes to transmit data channels such as the DPDCH and/or the E-DCH (e.g., the E-DPDCH and the E-DPCCH). Further, another type of power control command may be utilized to control the power the UE utilizes to transmit control channels such as the HS-DPCCH. In this way, the uplink data channels, which can cause substantial interference to neighbor cells, can be power controlled by those neighbor cells to reduce that interference.

Abstract: A method and apparatus for determining available downlink bandwidth are described. The described aspects may include estimating an available link capacity of a cell for a user equipment. The described aspects may include estimating an available fraction of cell resources for the user equipment. The described aspects may include estimating available bandwidth of the cell for the user equipment as a function of the estimated available link capacity and the estimated available fraction of cell resources. Available bandwidth may be estimated for a cell in a Universal Mobile Telecommunications System (UMTS) system when the user equipment is in an idle mode and/or a connected mode. Available bandwidth may be estimated for a cell in a Long Term Evolution (LTE) system when the user equipment is in an idle mode and/or a connected mode.

Abstract: A small base node such as a Home Base Node (HNB), or femto cell, may reduce its transmit power in order to prevent co-channel or adjacent channel interference, or to limit its coverage area. Once the power is set, the HNB signal to a served Home User Equipment (HUE) its transmit Common Pilot Channel (CPICH) transmit power for accurate path loss estimation. When this power is outside of the permissible range, the HNB adjusts other parameters (such as Random Access Channel (RACH) constant value) to compensate for the error in signaled CPICH power, and thus compensate in that process the error in determining path loss. Similarly, if the uplink sensitivity is adjusted, to prevent interference, parameters would also be adjusted and signaled to the HUE to reflect the link imbalance.

Abstract: Methods and apparatus are described for opportunistic small cell triggering. The methods and apparatus include determining, by a user equipment (UE) connected to a cell, a change of location of the UE. Further, the methods and apparatus include requesting small cell information from a database based at least in part on the change of location of the UE. Moreover, the methods and apparatus include attempting to detect a small cell based on the small cell information. Additionally, the methods and apparatus include transmitting a message to turn on the small cell when no the small cell is not detected.

Abstract: Wireless user equipment (UE) operating in a wireless communication system may operate in a state, for example, the CELL_FACH state in UMTS, that does not allow for soft handoff from one cell to another. This inability to engage in soft handover may lead to intercell interference at a non-serving cell when the UE transmits on its uplink in close proximity to the non-serving cell. Therefore, provided in the present disclosure is method of wireless communication, which includes receiving a neighbor cell identification set indicating one or more neighbor cells, receiving a relative grant channel resource index corresponding to a relative grant channel shared by at least one of the one or more neighbor cells, detecting intercell interference associated with a user equipment (UE) in the one or more neighbor cells, and transmitting a non-serving relative grant message to the UE on the relative grant channel.

Abstract: Various embodiments for conducting proxy teaching for learning devices within a decentralized system, including an embodiment method with operations for obtaining, by a teacher signaling device, objectives data related to activities of one or more of the learning devices, generating, by the teacher signaling device, teaching routines based on the obtained objectives data, and broadcasting, by the teacher signaling device, teaching signals configured to teach one or more of the learning devices based on the generated teaching routines. Other embodiments may obtain objectives data by requesting reflex information from the learning devices or intercepting event report messages transmitted by the learning devices. Other embodiments may include broadcasting discovery signals to identify nearby learning devices and modifying teaching routines when objectives of the generated teaching routines cannot be achieved.

Abstract: Apparatus and methods are described herein for applying precoding information updates at a user equipment (UE). The UE receives precoder information from a network component. The UE can them transmit packet data over a transmit time interval (TTI) of tow or more slots using transmit diversity. The UE updates the precoder for transmit diversity with the precoder information in a slot subsequent to the first slot in the TTI. The precoder information is applied to update the precoder at a slot boundary within the TTI.