A domain proxy receives a request from a base station for allocation of a first portion of a frequency band to support cellular communication in a geographic area that is indicated in the request. The frequency band is available for exclusive allocation to an incumbent device. The base station is required to vacate the first portion of the frequency band in response to the incumbent device arriving in the geographic area and being allocated a second portion of the frequency band that overlaps with the first portion. The domain proxy accesses a policy for the base station from a database and, based on the policy, selectively provides the request to a spectrum access server (SAS) that is responsible for allocating portions of the frequency band.

A domain proxy receives a request from a base station for allocation of a first portion of a frequency band to support cellular communication in a geographic area that is indicated in the request. The frequency band is available for exclusive allocation to an incumbent device. The base station is required to vacate the first portion of the frequency band in response to the incumbent device arriving in the geographic area and being allocated a second portion of the frequency band that overlaps with the first portion. The domain proxy accesses a policy for the base station from a database and, based on the policy, selectively provides the request to a spectrum access server (SAS) that is responsible for allocating portions of the frequency band.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

Mechanisms for selecting TDD patterns for DL and UL communication in TDD slots on CCs in a cell. A method is performed by a network management node. The method includes performing selection of the TDD patterns for DL and UL communication on CCs in the cell. According to the selection of the TDD patterns, at least one of the CCs is configured with a first TDD pattern, and at least one of the CCs is configured with a second TDD pattern. There is a higher fraction of DL TDD slots in the first TDD pattern than in the second TDD pattern.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

The disclosed technology relates to a process of dynamically assigning operational parameters for access points within a CBRS (Citizen Broadband Radio Service) network. In particular, the disclosed technology monitors for and detects interference between nearby access points and user equipment devices that may belong to the same enterprise or to different enterprises. Machine learning processes are used to revise the operational parameters that were initially assigned by the Spectrum Access System (SAS). These processes are also used to suggest an updated set of operational parameters to the SAS for the access points. The dynamic assignment reduces interference experienced by the access point with respect to nearby other access points and/or nearby other user equipment. The dynamic assignment aims to improve a quality of communication between the access point and its associated user equipment.

Networking systems and methods here include utilizing an exchange service in communication with a network service, the network service being in communication with a first network and a second network, the exchange service configured to, receive a formation request to form a consortium of networks among the first network and second network, send provision information to a first AP in the first network regarding the second network and a second AP in the second network regarding the first network.

Networking systems and methods here include utilizing an exchange service in communication with a network service, the network service being in communication with a first network and a second network, the exchange service configured to, receive a formation request to form a consortium of networks among the first network and second network, send provision information to a first AP in the first network regarding the second network and a second AP in the second network regarding the first network.

The present disclosure relates to electronic device and method in a wireless communication system. An electronic device of a wireless communication system for purchasing wireless communication resources has an associated communication coverage which intersects with communication coverage of at least one neighboring electronic device. The electronic device comprises a processing circuit configured to determine a specific number of neighboring electronic devices in the at least one neighboring electronic device for purchasing wireless communication resources therefrom, and to purchase wireless communication resources from the specific number of neighboring electronic devices on the basis of the sizes of communication coverage intersection areas between the electronic device and the specific number of neighboring electronic devices.