Abstract:
The disclosure provides for managing voice calls in Circuit Switched Fall Back (CSFB) communication devices that are configured to make voice calls using both Circuit Switched (CS) networks and Internet Protocol (IP) over Packet Switched (PS) networks. The device may determine, when registered with a PS network, a signal strength of a CS network at the device. The device may select, based on the signal strength of the CS network, one of the CS network and the PS network for the voice call. The device may establish the voice call using the selected network. The device may receive a user request for initiating a voice call, and initiate a voice call over the selected network automatically using an application corresponding to the selected network. The device may also register with a voice over IP (VoIP) service over the PS network based on the signal strength of the CS network.
Abstract:
The present disclosure presents a method and an apparatus for heavy active estimation mechanism for backhaul management at a small cell base station. For example, the method may include identifying, at the small cell base station, that a throughput of a user equipment (UE) in communication with the small cell base station is potentially limited due to backhaul congestion at the small cell base station, establishing a proxy flow between the small cell base station and a transmission control protocol (TCP) proxy peer in response to the identifying, wherein the proxy flow data packets are transmitted from the small cell base station to the TCP proxy peer or from the TCP proxy peer to the small cell base station, calculating a throughput of the proxy flow for a pre-determined time period, and determining whether the throughput of the UE is limited by backhaul congestion at the small cell base station based on the calculated throughput of the proxy flow. As such, heavy active estimation mechanism for backhaul management at a small cell base station may be achieved.
Abstract:
Fractional frequency reuse (FFR) is defined based on a mobility condition of an access terminal. For example, upon determining that an access terminal is moving (or at a cell edge, or experiencing poor link conditions, etc., due to mobility), FFR may be defined for the serving access point of the access terminal and/or for neighbor access points to maintain acceptable link quality for the access terminal. In particular, FFR may be defined in a manner that frees-up or otherwise reserves resources for the access terminal. For example, the serving access point may allocate additional sub-bands for the access terminal and/or increase the power levels used on the sub-bands allocated for the access terminal. In addition, neighbor access points may back-off these sub-bands.
Abstract:
Methods and apparatus for communication at a network entity comprise sending a measurement configuration message to a user equipment (UE) to configure the UE to perform one or more measurements during a specified measurement period. Additionally, the methods and apparatus comprise suspending, at the network entity, transmission of at least one configuration parameter to the UE during the specified measurement period, wherein the network entity is the serving network entity. Moreover, the methods and apparatus comprise receiving at least one measurement report message from the UE after the specified measurement period.
Abstract:
The present disclosure presents a method and apparatus for joint power and resource management in a wireless network. For example, the disclosure presents a method for receiving reference signal received power (RSRP) measurements of one or more neighboring base stations of a base station. In addition, such an example method, may include calibrating a transmit power of the base station based at least on the received measurements, and adjusting transmit resources of the base station in response to the calibration. As such, joint power and resource management in a wireless network may be achieved.
Abstract:
Techniques are provided for utilizing QCL relationships with AI/ML models and reference signals. An example method for providing positioning reference signal configuration information includes receiving, from a wireless node, an indication of a quasi co-location (QCL) relationship between an AI/ML model and a reference signal, configuring one or more positioning reference signal resources based at least in part on the indication of the QCL relationship, and providing configuration information for the one or more positioning reference signal resources to the wireless node.
Abstract:
Wireless communications systems and methods related to UE cooperation are provided. A base station (BS) may assist a UE in cooperating with other UEs. A UE may transmit a cooperative UE update request to aBS, indicating a number of candidate cooperative UE sets. The UE may also transmit information to the BS about the candidate cooperative UE sets such as UE capability information, location information, and channel measurements. Additional measurements maybe requested by the BS. The BS may use the information from the UEs together with BS-side information such as configuration information and TRP information in order to determine which of the candidate cooperative UE sets is preferred. The BS may then configure and communicate with selected cooperative UE set.
Abstract:
Certain aspects of the present disclosure provide techniques for user equipment (UE) cooperation. Certain aspects provide a method for wireless communication by a target UE. The method generally includes receiving availability information indicating availability of one or more candidate UEs for cooperating with the target UE for communicating with a network entity, receiving assistance information from at least one of the candidate UEs, establishing a cooperation connection with the at least one of the candidate UEs based on the assistance information, and transmitting, to the network entity, an indication of UE capability based on the cooperation connection.
Abstract:
Certain aspects of the present disclosure provide techniques for quasi-model (QML) relation indication and configuration for artificial intelligence (AI)/machine learning (ML) air interface operation. An example method, performed at a first wireless node, generally includes transmitting, to a second wireless node, an indication that a first machine learning (ML) model shares one or more properties with at least a second ML model; and utilizing at least the first ML model to communicate with the second wireless node.
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network entity may receive, from a second network entity, configuration information indicating multiple physical random access channel (PRACH) preamble configurations that are associated with respective cyclic shifts. The first network entity may transmit, to the second network entity, a random access communication that includes a PRACH preamble in accordance with a PRACH preamble configuration of the multiple PRACH preamble configurations, the PRACH preamble configuration being selected based on timing information of the first network entity. Numerous other aspects are described.