At&t Intellectual Property I, L.p.

At&t Mobility Ii LLC

Dongho Kim

Slawomir Mikolaj Stawiarski

Ravi Raina

Gopalakrishnan Meempat

Huahui Wang

Ioannis Broustis

Weihua Ye

Hyun Ok Lee

Dhruv Gupta

Huijing Yang

Senthil Raj Dhandapani

Kemal Kara

The described technology is generally directed towards an automation agent for network equipment configuration. The automation agent can be incorporated into a network automation platform. The network automation platform can include, inter alia, a communication channel, such as a data movement as a platform (DMaaP) communication channel, which is used by various components of the network automation platform. The disclosed automation agent can monitor the communication channel for network equipment configuration communications generated by other components of the network automation platform. In response to a network equipment configuration communication, the automation agent can create an interface update file comprising the updated interface configuration data, and send the interface update file to a network equipment configuration update service for deployment to the network equipment.

Automation agent for network equipment configuration

The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Adaptive automated load balancing for mobility networks including fifth generation networks and beyond

The described technology is generally directed towards generating and deploying radio access network parameters by a management platform. The management platform can use a defined data structure as a carrier for parameters within the management platform. Newly generated parameters can be placed in the defined data structure. The newly generated parameters can be approved at the management platform for deployment to radio access network devices. A software defined networking function of the management platform can convert a parameter into a specific format utilized at a radio access network, and the software defined networking function can deploy the converted parameter to the radio access network.

Automated parameter deployment for cellular communication networks

Growing community of inventors

Livermore, CA, United States of America

Dongho Kim