Abstract: Steps are presented for deploying a plurality of BS/APs, such as CBSDs (Citizen's Broadband radio Service Devices) in an enterprise network or other such private network at a location such as a warehouse, factory, research center or other building. The deployment is a process by which the BS/APs in the network are set up to be ready for operation within the network. In addition, a communication system is described in which an enterprise operator provides subscription data and commissioning information to an SAS and a Subscriber Database.

Abstract: A building management system includes a communications bus, field devices connected to the communications bus, a cloud service including a machine learning engine; and a controller for an HVAC device. The controller communicates with the communications bus and the cloud service and is configured to transmit messages through the communications bus to the field devices, compile a list of connected field devices, receive sample data from the connected field devices, and transmit the sample data from the connected field devices to the cloud service. The controller is further configured to receive identifying characteristics for each of the connected field devices from the cloud service and to select a control logic file for the HVAC device based on the identifying characteristics.

Abstract: Various embodiments of methods and apparatus for peer network communication in wireless networks are disclosed. The methods and apparatus make use of a local region or coordination zone that supports a set of Enterprise deployments each including a group of CBSDs that taken together comprise a set of interacting nodes. The group of deployments in a local region are willing to coordinate activities with each other to establish a mutually aggregable set of operating parameters for each of their networks. These entities share information that enables distributed computation and the sharing of results to agree on mutually acceptable network operating parameters.

Abstract: 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.

Abstract: A building management system includes a communications bus, field devices connected to the communications bus, a cloud service including a machine learning engine; and a controller for an HVAC device. The controller communicates with the communications bus and the cloud service and is configured to transmit messages through the communications bus to the field devices, compile a list of connected field devices, receive sample data from the connected field devices, and transmit the sample data from the connected field devices to the cloud service. The controller is further configured to receive identifying characteristics for each of the connected field devices from the cloud service and to select a control logic file for the HVAC device based on the identifying characteristics.

Abstract: A method is disclosed that is implemented by a domain proxy. The method comprises registering a first CBSD (Citizen Band Service Device) with a SAS (Spectrum Access System) to allow the first CBSD to gain access to frequencies in a CBRS (Citizen Band Radio System), the first CBSD being a Category A CBSD. In addition, registering a second CBSD with the same or another SAS to allow the second CBSD to gain access to frequencies in a CBRS, the second CBSD being a Category B CBSD.

Abstract: A method of defining a Site to constitute one more interference coordination group (ICG). Additionally defined a Site to be constituted of Sub-Sites and defining ICSG (interference coordination sub-group), allowing a given access point from a ICG to belong to one or more ICSG. A method of aggregating the channel quality information determined by information provided from the SAS (Spectrum Access System) and Probe UE (User Equipment) to define ICG and ICSG. Providing a preferred ordered list of channels for ICG and each ICSG, further adapting the SON (Self Organizing Network) algorithm to use the channel allocations received for ICG and ICSG to perform optimized allocations. Continuously perform the Channel quality assessment and ICG/ICSG determination and rebalance the channel allocation based current, predicted, time-series, and know events for optimized operation.

Abstract: Various embodiments of a method and apparatus for power management initiated from a Citizens Band radio Service Device (CBSD) are disclosed. In addition, methods and apparatus for extending concepts related to Self Organizing Networks (SONs) to support Self Organizing Neighborhoods (SONgs) are also disclosed. Still further, various embodiments are disclosed here that allow for managing frequency/channel/BW (bandwidth) allocation, power allocation on each channel and Physical Cell ID (PCI) selection.

Abstract: Systems and methods for operating an energy plant are disclosed herein. A time series of performance variable associated with a device in the energy plant is obtained. An auto-correlation function data of the device is obtained based on the time series of the performance variable associated with the device. An electronic model of the device is generated based on the auto-correlation function data. Time, at which a future event of the device is predicted to occur, is predicted based on the electronic model. A report indicating the future event of the device and the predicted time may be generated. The device may be automatically configured, according to the future event and the predicted time.

Abstract: 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.

Abstract: 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.

Abstract: A building management system includes a communications bus, field devices connected to the communications bus, a cloud service including a machine learning engine; and a controller for an HVAC device. The controller communicates with the communications bus and the cloud service and is configured to transmit messages through the communications bus to the field devices, compile a list of connected field devices, receive sample data from the connected field devices, and transmit the sample data from the connected field devices to the cloud service. The controller is further configured to receive identifying characteristics for each of the connected field devices from the cloud service and to select a control logic file for the HVAC device based on the identifying characteristics.

Abstract: 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.

Abstract: A building management system includes a communications bus, field devices connected to the communications bus, a cloud service including a machine learning engine; and a controller for an HVAC device. The controller communicates with the communications bus and the cloud service and is configured to transmit messages through the communications bus to the field devices, compile a list of connected field devices, receive sample data from the connected field devices, and transmit the sample data from the connected field devices to the cloud service. The controller is further configured to receive identifying characteristics for each of the connected field devices from the cloud service and to select a control logic file for the HVAC device based on the identifying characteristics.

Abstract: A method and apparatus for planning a wireless communication network operating in a spectrum-controlled radio band and determining spectrum availability at an enterprise location. A plurality of network models are generated using machine learning techniques, the network models are provided to a network planner unit, input is received regarding intended deployment, and spectrum availability is determined responsive to the enterprise location. The number of BS/APs needed is estimated, and an enterprise network may be planned and deployed. The enterprise network is monitored, and if network operation is not meeting expected performance, the models may be retrained and the network planner updated. Spectrum availability is determined by registering a discovery group with an SAS at a location to provide spectrum availability, and repeating for each location. The method may be periodically performed to generate a time series of data which may be analyzed to provide spectrum availability.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.