Celona, Inc.

Mark Jan Dijkstra

Sourav Bandyopadhyay

Nagi Jayaraman Mahalingam

Mehmet Yavuz

Vinay Anneboina

Sushanth Chandappa Kulal

Aparna Jaiswal

Shashank Misra

A method and apparatus for allocating radio resources in a RAN deployment in an Enterprise Network. Radio resource parameter allocation decisions for all the Base Stations and Access Points (BS/APs) in the deployment are made responsive to network graphs formed using predicted path loss. In one embodiment the predicted path loss values are simulated for a particular enterprise network deployment, network graphs are formed using the path loss values, and radio resources parameters are allocated responsive to the network graphs. Advantageously, the network graphs provide the network with the ability to quickly and efficiently allocate radio resources, which can be automated. In the initial installation, this reduces cost and time. During operation, quick and efficient resource re-allocation provides quick adaptation to resource changes, an advantage that is useful particularly in the context of a CBRS system in which previously-available channels can be terminated.

Method and apparatus for radio area network resource allocation in an enterprise wireless communication network

Methods and apparatus are disclosed for determining spectrum availability within a radio band managed by a Spectrum Management Entity (SME), and allocating available spectrum to Base Station/Access Points (BS/APs) of an Enterprise Network (EN). The EN includes a domain proxy that sends a registration request to the SME indicating a maximum EIRP for the BS/APs. After receiving registration, the Domain Proxy sends a spectrum inquiry and receives a response specifying available spectrum. If less than the entire requested spectrum is available, then the maximum EIRP indication is reduced, and a next iteration is performed re-registering the BS/APs and requesting spectrum. Iterations are repeated until the entire requested spectrum is available, and then spectrum is allocated to the BS/APs. Each iteration of channel availability is stored, and channels are allocated utilizing a Self-Organizing Network (SON) technique responsive to the stored channel availability. The EN may comprise a CBRS Network.

Method and apparatus for determining spectrum availability and allocating spectrum in a spectrum controlled network

A method and apparatus for predicting channel availability in a spectrum-controlled network such as a Citizen's Band Radio Service (CBRS) network. The Base Stations/Access Points (BS/APs) and Domain Proxy monitor operating channels at an enterprise location and provide time series data. The data is analyzed, and patterns are identified in the collected channel availability data using Artificial Intelligence (AI) techniques. Channel availability is predicted using AI techniques, including one or more target channels and termination times. The network channels are reorganized to define a network reconfiguration that avoids the target channel, and pre-emptively reallocated. The enterprise network provides feedback regarding prediction accuracy, which is utilized in a machine learning process to modify the models and provide greater prediction accuracy. In some embodiments a plurality of enterprise networks provide channel availability and geographical data to a centralized provider network, where it is utilized to make predictions.

Method and apparatus for monitoring and predicting channel availability and preemptively reconfiguring the network in a spectrum controlled network

A method and apparatus for predicting capacity utilization and preemptively reallocating channels in a spectrum-controlled network such as a Citizen's Band Radio Service (CBRS) network. The network includes a plurality of Base Stations/Access Points (BS/APs) which monitor RF resource usage of the channels at each BS/AP and provide time series data relating to capacity utilization over a period of time. The data is analyzed, and patterns are identified in the collected capacity utilization data using Artificial Intelligence (AI) techniques. Looking forward, capacity utilization is predicted using AI techniques. Responsive to the capacity utilization predictions, the channels pre-emptively reallocated among BS/APs. The enterprise network provides feedback regarding prediction accuracy, which is utilized in a machine learning process to modify the models and provide greater prediction accuracy. The prediction apparatus includes a capacity utilization module and a training/retraining module, which may be located remotely from the enterprise network.

Method and apparatus for monitoring and predicting capacity utilization and preemptively reconfiguring the network in a spectrum controlled network

A method and apparatus for dimensioning a plurality of base stations to be installed within an area such as an enterprise location or a floor space within an enterprise location of an enterprise network. The wireless communication network is a spectrum-controlled network such as a Citizen's Broadband Radio Service (CBRS) network that is spectrum-controlled by a spectrum access server, and the base stations may comprise CBRS devices (CBSDs). A method of allocating radio bands among the base stations is described that effectively utilizes the available spectrum. A domain proxy is connected to communicate with the spectrum access server on behalf of the CBSDs, to inquire regarding spectrum and request spectrum grant.

Method and apparatus for dimensioning base stations and determining spectrum availability in a spectrum controlled network

A method and apparatus for handling channel termination in a spectrum-controlled wireless communication network and bringing power back up to resume normal operation. The network includes Base Stations/Access Points (BS/APs) in communication with a number of User Equipment devices (UEs) within the coverage area over wireless channels. When a channel termination order is received, the network identifies at least one BS/AP communicating on the prohibited channel and designates at least one BS/AP not transmitting on the prohibited channel which is allowed to increase transmission power. The system gradually reduces power on the impacted BS/AP and gradually increases power on the designated BS/AP to induce handoff to provide a smooth transition and avoid service interruptions to connected UEs. In one embodiment the wireless network is a Citizen's Broadband Radio Service (CBRS) network, and the BS/APs are located at an enterprise location and form part of an enterprise network.

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Brooklyn, NY, United States of America

Mark Jan Dijkstra