At&t Intellectual Property I, L.p.

Deva-Datta Sharma

Rittwik Jana

Mostafa Tofighbakhsh

Shraboni Jana

Bogdan Ungureanu

John Oetting

James Fan

Jennifer K Lam

Eric Towell

John Alson Hicks, Iii

Nicholas Steven Huslak

Vishwa M Prasad

Michael D Cercena

Francis John Connell

Mark W Mueller

James Aromando

J Kirk Shrewsbury

Richard T Kuo

Dhruv Gupta

The described technology is generally directed towards digital map truth maintenance. Map inputs shared among multiple users of a shared overlay map service can have a range of credibility, from not credible to highly credible. The disclosed digital map truth maintenance technologies can be used to enhance credibility of shared map inputs. Credibility values can be calculated for map inputs, based on any of multiple factors. Map inputs having sufficiently high credibility, such as a credibility value determined to be above a threshold value, can be shared among multiple mobile devices.

Digital map truth maintenance

The described technology is generally directed towards proactive content placement for low latency mobile access. Digital content requested by a mobile device can be sent to network nodes proactively, so that the network nodes have the digital content before it is requested by the mobile device. Mobile device travel predictions can be made to predict future locations of the mobile device. The future locations can be used to determine network nodes for proactive digital content delivery. The digital content for delivery to a network node can also be predicted based on current digital content in use at the mobile device and estimated arrival times of the mobile device into service areas of next network nodes.

Proactive content placement for low latency mobile access

The described technology is generally directed towards creation of shared overlay maps to support automated, real-time, cross-platform sharing of map information among groups of digital navigational map users, including but not limited to unmanned ground vehicles (UGVs). A central map authority (or other collaborative/federated organizational entity) can receive map overlay information from a mobile subscriber device, such as a UGV. The central map authority can promulgate the map overlay information to a group of multiple mobile subscriber devices according to the techniques described herein. Individual mobile subscriber devices can use received map overlay information, along with their individual digital navigational maps (DNMs) and navigation systems, to plan their individual routes.

Shared overlay maps

The described technology is generally directed towards beam recovery for an antenna array. One or more recovery beams or recovery beam patterns can be defined for an antenna array, and in response to a failure, the antenna array can be restored to a defined recovery beam or recovery beam pattern. Techniques for defining recovery beams and recovery beam patterns for the antenna array, selecting a recovery beam or recovery beam pattern for the antenna array, and entering a selected recovery beam or recovery beam pattern by the antenna array are also disclosed.

Beam recovery for antenna array

The described technology is generally directed towards policy based navigation control. Map inputs including, e.g., information about blocked routes or other map information, can be collected from mobile devices. Policies can be applied to the map inputs in order to generate navigation advisories that synthesize information from multiple map inputs. For example, a size and shape of a route blockage zone can be determined from multiple discrete map inputs. In some embodiments, the techniques disclosed herein can be applied in connection with shared overlay maps to support automated, real-time, cross-platform sharing of map information, including navigation advisories, among digital navigational map users, including but not limited to unmanned ground vehicles.

Policy based navigation control

Deployment of Internet-of-things devices can comprise sensors deployed in remote and hard to reach areas and locations. Due to lack of access to reliable power, these sensors cannot always be connected to a network and also have limited computation power. Consequently, a mechanism can be established to periodically access these sensors and collect data from them. The mechanism can utilize a mobile radio unit device to serve as data collectors. The mobile radio unit device can make use of an adaptive beam scanning to perform sensory data collection via the beam scanning operation. Additionally, the platform can also comprise a radio access network intelligent controller to manage the data collecting radio units by providing specific instructions and data collection methodologies.

Beam provisioning for sensory data collection for 5G or other next generation networks

Given real-time user equipment (UE) measurements from an open radio access network (O-RAN) infrastructure, a radio access network intelligent controller (RIC) can compute a UE distribution context space. The O-RAN can comprise gNode-Bs, centralized units, and distributed units. The UE distribution context space computations can be performed by a UE context correlator module of the RIC. The UE context correlator module can also utilize a pre-defined UE context model, which contains definitions and values for various UE context attributes to generate adaptive beam-forming patterns.

Adaptive beam sweeping for 5G or other next generation network

An intelligent determination of a set of candidate handover-beams for a radio access network (RAN) can be facilitated by a RAN intelligent controller (RIC). The RIC can obtain data associated with user equipment devices and their current state, historical patterns, and a current state of serving network node devices and neighboring network node devices. Based on the obtained data, a handover procedure can be optimized by the user equipment by estimating the signal quality from a source cell and neighboring cells. Additionally, the user equipment can send measurement reports to the network to identify and quantify the quality of reference signals transmitted by the network node devices.

Candidate beam selection and control for 5G or other next generation network

Precoding matrix computations for a large number of antenna arrays can be used to generate efficiencies within a wireless network. Utilizing network topology and context data in conjunction with known available network resources and mobile device measurements can facilitate gains in power and spectral efficiency and reduction in computation complexity posed by current procedures. To take advantage of multiple paths, the precoding matrix can be known at the radio units for each mobile device.

Context-based precoding matrix computations for radio access network for 5G or other next generation network

A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. Self-organizing service chaining of public safety edge applications, can be enabled in both time and space when triggered by an emergency situation. The RIC platform can perform reassignment of resources and network slices according to historical data and situational analysis. The RIC platform can select and provide the best frequencies and resources to ensure that first responders have communication services that do not get affected by anomalies such as network load, congestion, and/or related degradations.

Beam as a service for 5G or other next generation network

The described technology is generally directed towards an intent design tool for communication networks. A graphical user interface provided by the intent design tool can include a collection of communication network topology elements and a communication network intent topology design area. Selected communication network topology elements can be placed into the communication network intent topology design area, and connection types between the selected communication network topology elements can also be specified in the communication network intent topology design area, in order to define custom communication network intent topologies.

Intent design tool for wireless communication networks

A radio access network intelligent controller (RIC) platform can enable various highly secure, reliable, fast communications for first responders during emergency situations. The RIC can utilize radio access network (RAN) resources, for example, beam management procedures to facilitate the use of virtual zones. The virtual zones can be generated dynamically by leveraging collaborating mobile devices from various zones. The virtual zones can be distributed entities that span across real-physical zones but are managed as a single logical entity under a common set of policies. The creation and management of virtual zones can be performed by a group of corresponding RICs as a distributed system.

Real-time network provisioning for distributed virtual zones of collaborative mobile devices for 5G or other next generation network

In 5G, a high degree of automated management and control mechanisms can coordinate various radios in relatively close proximity, via a zone, or in a cluster. Reactive automation coupled with hybrid algorithms utilizing internal radio states and known or expected external events or entities can enable a smart proactive 5G automation. The smart proactive 5G automation can minimize signaling between the radios and provide a hybrid distributed and centralized model utilizing a radio access network intelligent controller to increase spectrum efficiencies. Additionally, the smart proactive 5G automation can provide new service opportunities that can be offered by service providers.

Growing community of inventors

San Ramon, CA, United States of America

Deva-Datta Sharma