At&t Intellectual Property I, L.p.

Alcatel Lucent

Gemalto Sa

Thales Dis France Sa

Ioannis Broustis

Sarat Puthenpura

Violeta Cakulev

Leonid Razoumov

Nemmara K Shankaranarayanan

Ganapathy Subramanian Sundaram

He Yan

Eric Rozner

Semyon B Mizikovsky

Zihui Ge

Rittwik Jana

Slawomir Mikolaj Stawiarski

Jia Wang

Ajay Mahimkar

Aman M Shaikh

Xing Xu

Harish Viswanathan

Jennifer Yates

Xuan Liu

Giritharan Rana

Dongho Kim

A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

Cell site energy utilization management

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 described technology is generally directed towards cellular communication network sleep management. A central network automation platform can control sleep settings deployed to radio access network nodes that support the cells of the cellular communication network. The network automation platform can collect cell configuration data and can use the cell configuration data to determine sleep settings for sleep-eligible cells. The network automation platform can furthermore monitor performance of the sleep-eligible cells and neighbor cells to determine whether the sleep settings have led to degraded performance.

Cellular communication network sleep management

The disclosed technology is directed towards automated configuration enforcement in wireless communication systems, which can be implemented in an audit manager (e.g. an ONAP micro-service) as part of an overall architecture. The audit manager obtains misconfiguration data representing misconfigured configurable parameter data of network elements of a radio access network, and corrective parameter data corresponding to the misconfiguration data. The audit manager issues a reconfiguration action to the network elements, which instructs the network elements to reconfigure their current configurable parameter data based on the corrective parameter data. Following reconfiguration, the audit manager operates to monitor the network elements performance, e.g., to check for performance degradation of a cell site relative to previous performance metrics.

Automated configuration enforcement in wireless communication systems

A self organizing network within a software defined networking environment is provided to allow for fast updating of radio access network parameters which enables optimization algorithms to converge on optimized configurations very quickly. The self organizing network is enabled by providing a self organizing network manager plug-in within a software defined networking environment that interfaces with a radio access network plug-in via a service abstraction layer to quickly obtain base station device parameters, iteratively adjust the base station device parameters to obtain optimized radio access network configurations to mitigate outages, reduce power consumption, manage load, or provide other benefits.

Self organizing radio access network in a software defined networking environment

A scalable virtualized network core is provided to allow for incrementally adjusting network resources in response to changing demand, and for improved flexibility in network management and control. The scalable virtualized network core provides a cloud evolved packet core that has virtual machines performing the functions of the individual server elements. As demand for network resources changes, additional virtual machines can be brought online or virtual machines can be terminated to efficiently address the demand. An abstraction agent can be provided to facilitate the physical to logical connections so that to the perspective of elements in a radio access network, no changes have been made. The abstraction agent also facilitates network control and management of the virtual machines.

Scalable network function virtualization

Multiple access wireless communication networks/infrastructures are virtualized in telecommunications environments. A system replicates a cell identifier associated with a macro base station device to create a virtual base station device presence for a set of network devices included in the multiple access wireless communication network and thereafter facilitates communication with the multiple access wireless communication network, the set of network devices, and a mobile device through the created virtual base station presence.

Architecture for radio access network virtualization

A challenge manipulation and restoration capability is provided for use during network authentication. A mobile device (MD) and a subscriber server (SS) each have provisioned therein a binding key (B-KEY) that is associated with a subscriber identity of a network authentication module (NAM) of the MD. The SS obtains an authentication vector (AV) in response to a request from a Radio Access Network (RAN) when the MD attempts to attach to the RAN. The AV includes an original authentication challenge parameter (ACP). The SS encrypts the original ACP based on its B-KEY, and updates the AV by replacing the original ACP with the encrypted ACP. The MD receives the encrypted ACP, and decrypts the encrypted ACP based on its B-KEY to recover the original ACP. The MD provides the original ACP to the NAM for use in computing an authentication response for validation by the RAN.

Manipulation and restoration of authentication challenge parameters in network authentication procedures

Automated secure registration techniques for communication devices are provided which address the problem of allowing multiple clients to gain access to one system, and thus provide a solution to the 'reverse single sign-on' problem. For example, a method for registering a group of two or more communication devices in a communication network comprises the following steps. A group challenge message is sent from a network device to the group of two or more communication devices. The network device receives one or more response messages to the group challenge respectively from one or more of the group of two or more communication devices, wherein the response message from each of the responding communication devices in the group comprises a group credential corresponding to the group.

Secure registration of group of clients using single registration procedure

To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.

Efficient cell site outage mitigation

Techniques are disclosed for establishing secure communications between computing devices utilizing proximity services in a communication system. For example, a method for providing secure communications in a communications system comprises the following steps. At least one key is sent from at least one network element of an access network to a first computing device and at least a second computing device. The first computing device and the second computing device utilize the access network to access the communication system and are authenticated by the access network prior to the key being sent. The key is useable by the first computing device and the second computing device to securely communicate with one another when in proximity of one another without communications between the first computing device and the second computing device going through the access network.

Growing community of inventors

Millburn, NJ, United States of America

Ioannis Broustis