Sprint Communications Comapny L.p.

Sprint Spectrum L.p.

Clearwire IP Holdings L.l.c.

T-mobile Innovations LLC

Other

T-mobile Usa, Inc.

Durga P Satapathy

Walter Fred Rausch

Sungki Park

John W Linebarger

Fred S Cook

Saied Kazeminejad

Peter H Distler

Justin Sungki Park

Bruce Edward Hoffman

Subir Varma

Harold Wayne Johnson

Bharatwajan Raman

Oliver Philippe Coudert

Zheng Cai

Tracy Lee Nelson

Dhaval Dipak Mehta

Mark Yarkosky

Ivy Yvonne Kelly

Pei Hou

Chunmei Liu

Masoud Olfat

Peter Paul Gelbman

George A Georgiou

Mir Islam

Michael J Gettles

Mohammad Wasif Hussain

Youngil Ha

Tommie L Holmes

Thomas F Brown

Jinpeng Xiao

Richard Martin Cane

Mark Holland

Systems, methods, and computer-readable media are described herein which utilizes and controls an electromagnetic energy beam steering apparatus. The electromagnetic energy beam steering apparatus uses directional properties of a Luneburg lens to receive RF energy from one or more points of the Luneburg lens and re-transmits the RF energy from a different point of the Luneburg lens to focus the RF energy in a desired direction. The electromagnetic energy beam steering apparatus may take a form of a passive repeater, an active repeater, or a multipath active repeater.

Luneburg lens signal repeater

The disclosed technology relates to utilizing computing resource nodes available to a wireless telecommunications network to distribute performance of blockchain operations throughout the wireless telecommunication network nodes. A wireless telecommunication network includes computing resources across multiple domains, including core network servers, base stations, and user devices. An example wireless telecommunication network includes a network-integrated blockchain service via which a blockchain node can submit a service request for usage of network resources to complete a blockchain operation (e.g., determining a cryptographic hash of data to be added to a blockchain) and via which a service result (e.g., a final hash value) can be returned to the blockchain node. The network-integrated blockchain service uses a machine learning (ML) model to predict and select certain network computing devices with resource availability.

Dynamic, comprehensive, and intelligent integration of telecommunication network resources for blockchain operations

A wireless communication device is disclosed that includes a non-transitory memory, a processor, and a local agent. The local agent transmits context information to an AI engine and receives and stores sign language data sets selected based on the context information from the AI engine in the non-transitory memory. The local agent receives content in need of language assistance. In response to a determination to process the content locally, the local agent converts the content into first sign language gestures based on the data sets. In response to a determination to process the content remotely, the local agent sends at least some of the content to the AI engine, receives keys from the AI engine, and determines second sign language gestures based on the keys and the data sets. The local agent sends the first or second sign language gestures to a display of the wireless communication device for presentation.

Delivery of artificial intelligence based context-sensitive language assistance to wireless communication devices

Systems and methods are provided for dynamic power allocation of a first maximum uplink power and a second maximum uplink power, wherein the first maximum uplink power is used by a first transmitter to communicate with a first access point and the second maximum uplink power is used by a second transmitter to communicate with a second access point (dual connectivity). Network parameters are determined based on characteristics and/or qualities of the downlink and/or uplink signals of a wireless communication session. In response to the determined network parameters, the WCD may increase a first maximum uplink power and decrease a second maximum uplink power in order to establish or maintain dual connectivity without exceeding the device's maximum total uplink power.

Dual connectivity (DC) power control

Systems, methods, and devices are described for dynamic modifications of quality of service (QoS) rules in a communication network. Modification of the QoS rules can initiated by user equipment connected to an access point or an application server associated with an user equipment executed application. The modification can alter the communication priority of data communicated to, or communicated from, the user equipment. Additionally, or alternatively, the modification can alter the minimum data throughput for data communicated to, or communicated from, the user equipment.

Systems and methods for dynamic quality of service via radio intelligent controller

Systems for wireless communication between a wide bandwidth network node and a narrow bandwidth wireless device are configured to perform operations including determining a maximum channel bandwidth of the narrow bandwidth wireless device, configuring at least two bandwidth parts (BWPs) within a single carrier deployed by the wide bandwidth network node, scheduling a data transmission between the wide bandwidth network node and the narrow bandwidth wireless device within the at least two BWPs, and instructing the narrow bandwidth wireless device to aggregate the at least two BWPs within the single carrier to receive the data transmission.

Wireless communication between a wide bandwidth network node and a narrow bandwidth wireless device

Systems and methods are provided for dynamic power allocation of a first maximum uplink power and a second maximum uplink power, wherein the first maximum uplink power is used by a first transmitter to communicate with a first access point and the second maximum uplink power is used by a second transmitter to communicate with a second access point (dual connectivity). Network parameters are determined based on characteristics and/or qualities of the downlink and/or uplink signals of a wireless communication session. In response to the determined network parameters, the WCD may be instructed to increase a first maximum uplink power and decrease a second maximum uplink power in order to establish or maintain dual connectivity without exceeding the device's maximum total uplink power.

A system for switching an uplink waveform for a wireless device in a wireless network includes an access node configured to deploy a first radio air interface to provide wireless services to the wireless device. The access node includes a processor configured to receive a signal indicating a channel condition from the wireless device. The processor is also configured to determine whether to switch the uplink waveform for the wireless device based on the signal indicating the channel condition.

Systems and methods for dynamically switching uplink waveforms for a wireless device in a wireless network

A system for selecting a sub-carrier spacing includes an access node configured to deploy a radio air interface to provide wireless services to a plurality of wireless devices. The access node includes a processor configured to determine a value of at least one parameter relating to at least one of radio frequency impairment, mobility, and service latency. The processor is also configured to compare the value of the at least one parameter with a predetermined threshold. The processor is further configured to select the sub-carrier spacing from a plurality of sub-carrier spacings based on a result of the comparison.

Systems and methods for dynamically selecting a sub-carrier spacing

Exemplary methods and systems may generally be implemented to allow a macro-network base station without access to a GPS reference signal to provide some or all of the functionality for which existing macro-network base stations typically rely on GPS. In a first aspect, an exemplary macro-network base station may determine its location using a location-determination technique that is based upon the angles of arrival of FM radio signals from nearby FM stations. In a second aspect, an exemplary macro-network base station may stabilize its local oscillator by phase-locking its local oscillator to an FM radio signal, and periodically adjusting its local oscillator to account for phase drift of the FM radio signal. And in a third aspect, an exemplary macro-network base station may synchronize its frame-start timing with a nearby base station using a frame-start timing signal that the base station has synchronized to frame transmissions from the nearby base station during a setup routine.

Macro-network location determination, local-oscillator stabilization, and frame-start synchronization based on nearby FM radio signals

Macro-network synchronization based on nearby FM radio

A system and method of a hybrid scheme of DL link adaptation in a network having mobile stations (MSs) in communication with a base station (BS). The system may include a mode decision module associated with the base station. The mode decision module may include one or more processors configured to select a first mode configuration for use during transmission of a first communication from the base station. The BS may receive first feedback information associated with the first communication, where the first feedback information includes a first mode recommendation and first channel information. Based on the first feedback information, the BS may generate a BS-derived mode configuration based on the first channel information and compare the first mode recommendation and the BS-derived mode configuration. Based on the comparison, the BS may determine a second mode configuration to use to configure a second communication.

Hybrid scheme for DL link adaptation

Growing community of inventors

Lawrence, KS, United States of America

Durga P Satapathy