Abstract: Improved techniques are provided for managing and optimizing network resources and spectrum access in a Self-Organizing Network (SON). A Spectrum Access System (SAS) collects network-related information from a plurality of network sources, such as base stations and user equipments (UEs), to perform optimization and organization across different networks, network operators, and network technologies. In some embodiments, the SAS may use the network information and a Radio Environment Map to optimize TDD synchronization in the SON. In other embodiments, the SAS may use the network information to populate a global Neighbor Relation Table. The SAS also may use the network information to optimize one or more network parameters, such as Physical Cell Identities or Root Sequence Indexes, antenna parameters, transmit power levels, handover thresholds, channel assignments, and so on, for use in the SON.

Abstract: Methods and systems for providing a connectivity map to a user equipment (UE) in a wireless network are disclosed. Exemplary methods comprise receiving a request for connectivity information from the UE, sending the request for connectivity information to a connectivity map service application program interface (API), receiving, from the connectivity map service API, a connectivity map, and sending the connectivity map to the UE in response to the request for connectivity information. The connectivity map may be generated using a location and state information associated with one or more nearby APs stored in a database and may comprise a list of available spectrum and one or more parameters associated with each available spectrum. The connectivity map may be used to select at least one of a network, a data-path, a network route, a connectivity strategy, or a spectrum for the UE.

Abstract: Methods are provided for managing frequency channels in a shared spectrum available to a radio local access network (RLAN) access point (AP) in a wireless network. The methods may comprise receiving a request for channel availability from the RLAN AP to access the shared spectrum, computing, based on a plurality of parameters associated with the RLAN AP, an RLAN service area (RSA) associated with the RLAN AP, retrieving one or more incumbent protection contours (IPCs) associated with one or more incumbent users in the wireless network, identifying an IPC, among the one or more retrieved IPCs, that overlaps with the RSA associated with the RLAN AP, determining, based on the identified IPC, available frequency information corresponding to the received request for channel availability, and transmitting, to the RLAN AP, a channel availability response comprising the available frequency information.

Abstract: Methods and systems for providing a connectivity map to a user equipment (UE) in a wireless network are disclosed. Exemplary methods comprise receiving a request for connectivity information from the UE, sending the request for connectivity information to a connectivity map service application program interface (API), receiving, from the connectivity map service API, a connectivity map, and sending the connectivity map to the UE in response to the request for connectivity information. The connectivity map may be generated using a location and state information associated with one or more nearby APs stored in a database and may comprise a list of available spectrum and one or more parameters associated with each available spectrum. The connectivity map may be used to select at least one of a network, a data-path, a network route, a connectivity strategy, or a spectrum for the UE.

Abstract: Methods and systems for providing a connectivity map to a user equipment (UE) in a wireless network are disclosed. Exemplary methods comprise receiving a request for connectivity information from the UE, sending the request for connectivity information to a connectivity map service application program interface (API), receiving, from the connectivity map service API, a connectivity map, and sending the connectivity map to the UE in response to the request for connectivity information. The connectivity map may be generated using a location and state information associated with one or more nearby APs stored in a database and may comprise a list of available spectrum and one or more parameters associated with each available spectrum. The connectivity map may be used to select at least one of a network, a data-path, a network route, a connectivity strategy, or a spectrum for the UE.

Abstract: Improved techniques are provided for managing frequency channels in a shared spectrum available to a radio local access network device (RLAN) in a wireless network.

Abstract: Techniques are provided for managing frequency access in a shared spectrum available to a radio local access network (RLAN) in a wireless network. A shared spectrum system may perform operations including retrieving a plurality of parameters for one or more high-priority users in the wireless network; computing, based on the retrieved parameters, a plurality of interference-to-noise power ratio (I/N) contours; storing the plurality of I/N contours in a database; receiving, from an RLAN device in the wireless network, a request for spectrum availability, wherein the received request includes at least a first value; extracting, based on the first value in the request for spectrum availability, an I/N contour from the database matching RLAN parameters; determining, based on the extracted I/N contour, available frequency information corresponding to the received request for spectrum availability; and transmitting, to the RLAN device, the available frequency information.

Abstract: Embodiments provide an access point (AP) that includes a set of one or more base-station functions configured to connect a user equipment (UE) to the AP over a wireless communication interface; and a set of one or more core-network functions configured to provide services to the UE. The AP allocates an Internet Protocol (IP) address to the UE by using at least one Dynamic Host Configuration Protocol (DHCP) server that is external to the AP.

Abstract: A method of allocating resources in a first wireless system, wherein the first wireless system shares a frequency spectrum with a second wireless system, is described. The method comprises detecting a level of interference to the second wireless system caused by the first wireless system on a first frequency within the spectrum; determining if transmission on the first frequency should be restricted based on the level of interference; and restricting transmissions in the first system on the first frequency if it was determined that transmission on the first frequency should be restricted while allowing normal use of the remaining portions of the frequency spectrum to continue in the first system. A system for allocating resources in a first wireless system, wherein the first wireless system shares a frequency spectrum with a second wireless system, is also described.

Abstract: Embodiments assign shared spectrum resources to access points. Embodiments group the access points into coexistence groups of access points, and generate a vertex graph including vertices that each represent one of the coexistence groups, where an edge connecting a pair of vertices in the vertex graph represents an overlap between coverage contours of a pair of coexistence groups represented by the pair of vertices, and the edge is assigned a weight that is proportional to the overlap as compared to other overlaps between coverage contours of other pairs of coexistence groups. Embodiments generate at least one vertex-colored graph by assigning a color to each vertex in the vertex graph, group the coexistence groups into groups of coexistence groups based on their corresponding assigned colors in the at least one vertex-colored graph, and map shared spectrum transmit frequencies to the groups of coexistence groups.

Abstract: Improved techniques are provided for managing and optimizing network resources and spectrum access in a Self-Organizing Network (SON). A Spectrum Access System (SAS) collects network-related information from a plurality of network sources, such as base stations and user equipments (UEs), to perform optimization and organization across different networks, network operators, and network technologies. In some embodiments, the SAS may use the network information and a Radio Environment Map to optimize TDD synchronization in the SON. In other embodiments, the SAS may use the network information to populate a global Neighbor Relation Table. The SAS also may use the network information to optimize one or more network parameters, such as Physical Cell Identities or Root Sequence Indexes, antenna parameters, transmit power levels, handover thresholds, channel assignments, and so on, for use in the SON.

Abstract: Improved techniques are provided for managing and optimizing network resources and spectrum access in a Self-Organizing Network (SON). A Spectrum Access System (SAS) collects network-related information from a plurality of network sources, such as base stations and user equipments (UEs), to perform optimization and organization across different networks, network operators, and network technologies. In some embodiments, the SAS may use the network information and a Radio Environment Map to optimize TDD synchronization in the SON. In other embodiments, the SAS may use the network information to populate a global Neighbor Relation Table. The SAS also may use the network information to optimize one or more network parameters, such as Physical Cell Identities or Root Sequence Indexes, antenna parameters, transmit power levels, handover thresholds, channel assignments, and so on, for use in the SON.

Abstract: Improved techniques are provided for managing and optimizing network resources and spectrum access in a Self-Organizing Network (SON). A Spectrum Access System (SAS) collects network-related information from a plurality of network sources, such as base stations and user equipments (UEs), to perform optimization and organization across different networks, network operators, and network technologies. In some embodiments, the SAS may use the network information and a Radio Environment Map to optimize TDD synchronization in the SON. In other embodiments, the SAS may use the network information to populate a global Neighbor Relation Table. The SAS also may use the network information to optimize one or more network parameters, such as Physical Cell Identities or Root Sequence Indexes, antenna parameters, transmit power levels, handover thresholds, channel assignments, and so on, for use in the SON.

Abstract: A cloud-based system for maintaining a distributed cloud spectrum access system (SAS) is disclosed. The system may include one or more processors; and a memory storing instructions that cause the one or more processors to perform the a method including: syncing one or more edge databases at a frontend-SAS with corresponding cloud databases at a backend-SAS; monitoring a connection between the frontend-SAS and the backend-SAS; determining the connection between the frontend-SAS and the backend-SAS has been severed; continuing to operate within an interference headroom; attempting one or more robustness mechanisms to ensure impact to the frontend-SAS is minimized and to reestablish the connection between the frontend-SAS and the backend-SAS; and upon determining the connection is reestablished, reconciling the one or more edge databases at the frontend-SAS with the corresponding cloud databases at the backend-SAS.

Abstract: The disclosed embodiments provide improved methods and systems for predicting spectrum allocation in a wireless access network. The method may comprise receiving data associated with an access point (AP), creating, based on the received data and a machine learning algorithm, a decision model for predicting whether to allocate spectrum to the AP, generating a prediction, using the decision model, whether to allocate spectrum to the AP, and sending the prediction to a spectrum access system (SAS) in the wireless access network. The SAS may be configured to allocate spectrum to the AP based on the prediction.

Abstract: Cloud-based systems and methods are provided for assigning shared spectrum resources to secondary users. The methods may comprise receiving, by a central block entity, a request for channel availability from a secondary user to access a shared spectrum in a wireless network, authenticating the secondary user, validating the secondary user, routing the request for channel availability to a managing block entity, receiving available frequency information from the managing block entity, assigning a frequency and an effective isotropic radiated power (EIRP) to the secondary user based on the available frequency information from the managing block entity, and transmitting, to the secondary user, a channel availability response based on the assigned EIRP. The managing block entity may be configured to determine available frequency information based on one or more parameters associated with the secondary user. The channel availability response may comprise a frequency on which the secondary user can transmit.

Abstract: A method and system is provided for enabling spectrum sensing capability in a network having at least one primary user and a plurality of secondary users configured to communicate using a shared spectrum. The methods and systems include receiving values from sensors corresponding to received signal strength from a primary user in one or more frequencies of the shared spectrum. The values are used to interpolate at least one additional value between the sensors. A detection threshold is determined for sensing a signal transmitted from the primary user based on an acceptable amount of interference. The primary user is then determined to be transmitting in the one or more frequencies of the shared spectrum if any of the values received from the plurality of sensors or the at least one additional value interpolated along the path exceeds the detection threshold.

Abstract: The disclosed embodiments provide improved methods and systems for predicting spectrum allocation in a wireless access network. The method may comprise receiving data associated with an access point (AP), creating, based on the received data and a machine learning algorithm, a decision model for predicting whether to allocate spectrum to the AP, generating a prediction, using the decision model, whether to allocate spectrum to the AP, and sending the prediction to a spectrum access system (SAS) in the wireless access network. The SAS may be configured to allocate spectrum to the AP based on the prediction.

Abstract: Methods are provided for managing frequency channels in a shared spectrum available to a radio local access network (RLAN) access point (AP) in a wireless network. The methods may comprise receiving a request for channel availability from the RLAN AP to access the shared spectrum, computing, based on a plurality of parameters associated with the RLAN AP, an RLAN service area (RSA) associated with the RLAN AP, retrieving one or more incumbent protection contours (IPCs) associated with one or more incumbent users in the wireless network, identifying an IPC, among the one or more retrieved IPCs, that overlaps with the RSA associated with the RLAN AP, determining, based on the identified IPC, available frequency information corresponding to the received request for channel availability, and transmitting, to the RLAN AP, a channel availability response comprising the available frequency information.

Abstract: The disclosed embodiments provide a software-defined spectrum controller that may be used to dynamically and adaptively change rules and/or policies in a wireless network. The SDSC may dynamically change the rules or policies based on usage of spectrum and/or network resources or any other criterion, e.g., established by a service provider, to allow the service provider to use the spectrum and network resources more efficiently for delivering content and services to customers. In accordance with the disclosed embodiments, the SDSC may use at least one optimization algorithm to determine which policies or rules should be enforced at each of the network nodes in the wireless network. Based on the optimization algorithm, the SDSC may interact with other network nodes to dynamically change one or more of the rules or policies that are enforced in the service provider's network to provide content and services to customers.