A method for providing increased backhaul capacity in an ad-hoc mesh network is disclosed. The method involves attaching a mobile base station in an ad-hoc mesh network to a macro cell; measuring at least one of a backhaul signal quality with the macro cell and a throughput to the macro cell; reporting information, including a signal quality parameter, a physical position of the mobile base station, a cell identifier of the macro cell, and the measured throughput, to a coordinating node; determining if the connection between the mobile base station and the macro cell is currently in use by the ad-hoc mesh network, and whether the link exceeds a minimum quality threshold; and sending, to the mobile base station, an instruction to advertise a connection from the mobile base station to the macro cell to other nodes in the ad-hoc mesh network.

A controller of a macro wireless network provisions a user device for access to local private networks based on the cell that the user device uses to attach to the macro wireless network. The controller obtains information on private networks operating within a coverage area of the macro wireless network. The controller associates a particular cell of the macro wireless network with one or more private networks operating within the particular cell. The controller detects a user device in the particular cell and provisions the user device with access to the one or more private networks.

Disclosed is a system and methods for creating and maintaining a virtual subnetwork of telecommunication base stations within a wider telecommunication network. In an LTE-based example, the subnetwork includes a connection aggregator that is coupled between the plurality of eNodeBs internal to the subnetwork and one or more MMEs in the outer network. The connection aggregator intercepts all control plane messages between the MMEs and the internal eNodeBs, remaps eNodeB identifiers, and transmits repackaged messages so that the outer network sees the entire subnetwork as a single giant eNodeB. The disclosed system and methods enables the operator of the virtual subnetwork to add and shut down eNodeBs as demand for connectivity fluctuates, and to do so such that all changes are unseen by the outer network.

A controller of a macro wireless network provisions a user device for access to local private networks based on the cell that the user device uses to attach to the macro wireless network. The controller obtains information on private networks operating within a coverage area of the macro wireless network. The controller associates a particular cell of the macro wireless network with one or more private networks operating within the particular cell. The controller detects a user device in the particular cell and provisions the user device with access to the one or more private networks.

The disclosed methods and systems use artificial intelligence (AI) and machine learning (ML) technologies to model the usage and interference on each channel. For example, units of the system can measure channel interference regularly over the time of day on all radios. The interference information is communicated to the base unit or a cloud server for pattern analysis. Interference measurements include interference from units within the system as well as interference from nearby devices. The base unit or the cloud server can recognize the pattern of the interference. Further, connected devices have a number of network usage characteristics observed and modeled including bitrate, and network behavior. These characteristics are used to assign channels to connected devices.

Aspects of the disclosure relate to a multi-mode wireless access protocol (MMWAP). A redirection router may receive a pre-association request, from a user communication device, and send an acknowledgment of the pre-association request. The user communication device may further transmit authorization keys associated with an application installed in the user communication device. Based on the authorization keys, the redirection router may send an authentication indication to the user communication device. The user communication device may use the redirection router to transmit and receive messages associated with the application to public networks and other private networks. The redirection router may maintain multi-mode connectivity independently with multiple user communication devices.

Aspects of the disclosure relate to a multi-mode wireless access protocol (MMWAP). A redirection router may receive a pre-association request, from a user communication device, and send an acknowledgment of the pre-association request. The user communication device may further transmit authorization keys associated with an application installed in the user communication device. Based on the authorization keys, the redirection router may send an authentication indication to the user communication device. The user communication device may use the redirection router to transmit and receive messages associated with the application to public networks and other private networks. The redirection router may maintain multi-mode connectivity independently with multiple user communication devices.

When a handover request for performing a handover of a terminal (70) from a macro cell C1 to a CSG cell C2 is received from an SeNB 10 (S8), a base station (TeNB) (40) of the CSG cell C2 transmits a handover response in accordance with a handover enabled/disabled state (S12). The handover response includes an identifier of the terminal (70) in the CSG cell C2. Upon receiving the response, the SeNB (10) notifies the identifier to the terminal (70) (S14). The TeNB (40) repeatedly transmits a dedicated signal containing a handover command via a dedicated channel set using the identifier at an interval shorter than a gap period (S18). Accordingly, whether or not access is permitted can be judged promptly and a smooth handover can be realized.

The disclosed methods and systems use artificial intelligence (AI) and machine learning (ML) technologies to model the usage and interference on each channel. For example, units of the system can measure channel interference regularly over the time of day on all radios. The interference information is communicated to the base unit or a cloud server for pattern analysis. Interference measurements include interference from units within the system as well as interference from nearby devices. The base unit or the cloud server can recognize the pattern of the interference. Further, connected devices have a number of network usage characteristics observed and modeled including bitrate, and network behavior. These characteristics are used to assign channels to connected devices.

A method for providing network connection to a smart device via a social networking application that is operating on a computing device different from the smart device is disclosed. The computing device obtains a device identifier of the smart device, and obtains a key of the smart device associated with the device identifier of the smart device from a social networking server. The key is pre-set to be uniquely associated with a device model of the smart device. The computing device encrypts configuration information of a target wireless network using the key associated with the smart device, to obtain encrypted configuration information. The target wireless network is currently accessed by the computing device. The computing device then broadcasts the encrypted configuration information. The smart device receives and decrypts the encrypted configuration information using a copy of the key stored on the smart device to access the target wireless network.