At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Jianchun Zhou

Yakun Gao

Sameer Sangal

Ming Zhang

Arthur Richard Brisebois

Haywood S Peitzer

Ye Chen

Wen Yang

Ratish Upadhyay

Aspects of the subject disclosure may include, for example, receiving a data packet for transmission over a wireless network to a user equipment (UE) device in data communication with one or more network elements over one or more carrier legs of the wireless network, receiving information about current network conditions, retrieving a set of packet splitting rules which define initial boundary conditions for a process of splitting packets into smaller data packets for transmission to the UE device, applying, in a machine learning model, one or more packet splitting rules of the set of packet splitting rules to split the data packet into a set of smaller data packets, based on the information about current network conditions in the wireless network, selecting, in the machine learning model, a flow control arrangement for the data packet, including determining a number of smaller packets to split the data packet, and selecting respective carrier legs of the one or more carrier legs of the wireless network for communication of respective data packets of the number of smaller data packets, and communicating the number of smaller data packets to the UE device. Other embodiments are disclosed.

Artificial intelligence flow control in 5G cellular networks and beyond

Aspects of the subject disclosure may include, for example, obtaining a first beam identifier associated with a first communication device, obtaining a second beam identifier associated with a second communication device, and generating a multi-user (MU) multiple-input-multiple-output (MIMO) group including the first communication device and the second communication device based on the first beam identifier and the second beam identifier. Other embodiments are disclosed.

Methods, systems, and devices for generating a multi-user (MU) multiple-input-multiple-output (MIMO) group based on beam identifiers of communication devices

Aspects of the subject disclosure may include, for example, identifying a number of radio resources of a mobile device, detecting activity of an application, and determining a data communication requirement of the application. The data communication requirement is compared to a first component carrier capacity and responsive to it exceeding the first component carrier capacity, a number of secondary component carriers providing secondary capacities are identified according to the data communication requirement, wherein a combination of the first capacity and the number of secondary capacities is not less than the data communication requirement. A group of the radio resources is configured according to the number of secondary component carriers, wherein a number of the group of the radio resources does not exceed the maximum number of the radio resources, and wherein the data communication requirement is accommodated by the combination of the first and secondary capacities. Other embodiments are disclosed.

Self-adaptive, intelligent carrier aggregation within mobile networks

Aspects of the subject disclosure may include, for example, obtaining a first indication of a first count of resource blocks in a first cell in which the device is located, obtaining a second indication of a second count of resource blocks allocated to the device, obtaining a third indication of a reference signal received power (RSRP) value for the device, obtaining a fourth indication of a received signal strength indicator (RSSI) value for the device, computing a first reference signal received quality (RSRQ) value for the device based on the first indication, the second indication, the third indication, and the fourth indication, and transmitting a fifth indication of the first RSRQ value. Other embodiments are disclosed.

Apparatuses and methods to balance load in communication networks based on an allocation of resources to communication devices

Aspects of the subject disclosure may include, for example, determining a Reference Signal Received Power (RSRP) and a Signal to Noise Ratio (SNR) for a plurality of carriers at a user equipment (UE) device, the plurality of carriers transmitted by a source group of cells including a source primary cell (PCell) and one or more source secondary cells (SCells) associated with the source PCell, and initiating a handover of communication with the UE device from the source group of cells to a target group of cells, wherein the target group of cells includes a target PCell and one or more target SCells, wherein the initiating the handover is responsive to the RSRP exceeding a predetermined RSRP threshold and the SNR exceeding a predetermined SNR threshold. Other embodiments are disclosed.

Carrier aggregation—handover synergism

A method, system, computer readable storage medium, or apparatus provides for receiving a first message from a user equipment (UE), wherein the first message comprises an indication of one or more conditions, wherein the one or more conditions comprises an indication that the UE has a radio mode that comprises new radio (NR); determining a required idle period for long term evolution (LTE) for the UE; determining, based on the first message and the required idle period for LTE, a transmission time interval (TTI) for NR that corresponds to the required idle period for LTE; and sending, to the UE, a second message, wherein the second message comprises an indication of the TTI for NR.

Dynamic power sharing enhancement

The spectrum sharing dynamic mode switch in TDMA may allow for the transmission of only one radio mode per transmission time interval (TTI). Such system may address radio interference or retransmission (reTX) failures, among other things.

Dynamic spectrum sharing dynamic mode switch in time division multiple access

The described technology is generally directed towards selecting, by user equipment, a selected maximum transmission unit (MTU) packet size for wireless data transfer based on radio signal conditions. In one aspect, reference signal received power (RSRP) and reference signal received quality (RSRQ) are used to select the MTU packet size, e.g., by using RSRP and RSRQ as indices to a lookup table of predetermined MTU packet sizes, such as previously determined by field testing. In general, smaller MTU packet sizes are used with poorer quality radio signal conditions. The selected MTU packet size may be increased or decreased based on actual performance data and/or based on changed radio signal conditions, such as for a subsequent data transfer session. The user equipment may comprise a Cat-M device that transfers data related to Machine-Type Communications (MTC)/Machine to Machine (M2M) communications.

Maximum transmission unit size selection for wireless data transfer

Determining to initiate a user equipment handover event based on a signal-to-interference-plus-noise ratio value is disclosed. The disclosed subject matter can employ the signal-to-interference-plus-noise ratio value in lieu of a reference signal receive power value. In an aspect, a handover based on the signal-to-interference-plus-noise ratio value can generally be determined faster and with greater reliability than basing the handover on the reference signal receive power value. In an aspect, some embodiments can substitute a determined uplink signal-to-interference-plus-noise ratio value for a downlink signal-to-interference-plus-noise ratio value. In some embodiments, a predicted signal-to-interference-plus-noise ratio value can be determined based on historical channel characteristics, hysterical wireless network environment features, or other historical data. A predicted signal-to-interference-plus-noise ratio value can be validated to a determined current signal-to-interference-plus-noise ratio value, permitting a validated predicted value to be employed until a next validation event.

Employing signal to interference-noise ratio in determining initiation of a user equipment handover event in a 5G or other next generation network

Concepts and technologies provided herein can provide power efficient radio receiver control for user equipment that can connect to a wireless network. A user equipment executing instructions via a processor can confirm that a battery charge state of the user equipment indicates charged or charging, and can check a user interface state of the user equipment. The user equipment can have at least one radio receiver that is initially active to support communicative coupling with the access point via a primary component carrier radio link. Based on the user interface state and/or the battery charge state that indicates charged or charging, the user equipment can activate additional radio receivers that are available to support the primary component carrier radio link until an active receiver capacity for supporting the primary component carrier radio link is met.

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Bellevue, WA, United States of America

Jianchun Zhou