Abstract: A system enables a home operator to establish an automated monitoring process which identifies outage events on competitor wireless networks (e.g., peer operators) operating in the same geographies as home operator. The home operator then is able to selectively offer, in near real-time, to open roaming to the peer operator, or implement roaming automatically based on predefined and mutually agreed upon rule sets. The monitoring process may observe non-customer attach request volumes in order to identify outage events on competitor wireless networks.

Abstract: A system enables a home operator to establish an automated monitoring process which identifies outage events on competitor wireless networks (e.g., peer operators) operating in the same geographies as home operator. The home operator then is able to selectively offer, in near real-time, to open roaming to the peer operator, or implement roaming automatically based on predefined and mutually agreed upon rule sets. The monitoring process may observe non-customer attach request volumes in order to identify outage events on competitor wireless networks.

Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.