Abstract: Technologies for load balancing among neighboring cells of a mobile wireless communication network can reduce traffic congestion and improve network system capacity. Load balancing can be accomplished by adjusting various radio access network parameters. Such adjustments may be made at the cell level or at the neighboring cell level. The adjustments can be applied iteratively in response to various collected operational statistics. The adjustments can adapt cell size and cell shape as well as adapt handover to maximize system resource and hardware utilization. An iterative process of optimization can periodically collect performance statistics and network configuration from a mobile wireless network. The collected information can be periodically analyzed to determine parameter adjustments. Configuring additional capacity from the communication network can prevent or substantially delay the acquisition of additional hardware resources to mitigate system capacity issues.

Abstract: Technologies are described herein for improving call quality and coverage of cells within a mobile wireless communication network. Such improvements can be accomplished by adjusting various radio access network parameters. The adjustments may be made at the cell level or at the neighbor level. An iterative process can periodically collect key performance indicator (KPI) statistics from the mobile wireless network. System improvements may derive from one or more rules applied in parallel. Each rule can have a unique combination of minimum or maximum KPI thresholds. System issues may be identified when a cell correlates with one or more of the rules which may then suggest one or more parameter changes to reduce the identified system issue. System capacity policies may be provided as limits to the coverage and call quality triggers.

Abstract: Technologies are described herein for improving call quality and coverage of cells within a mobile wireless communication network. Such improvements can be accomplished by adjusting various radio access network parameters. The adjustments may be made at the cell level or at the neighbor level. An iterative process can periodically collect key performance indicator (KPI) statistics from the mobile wireless network. System improvements may derive from one or more rules applied in parallel. Each rule can have a unique combination of minimum or maximum KPI thresholds. System issues may be identified when a cell correlates with one or more of the rules which may then suggest one or more parameter changes to reduce the identified system issue. System capacity policies may be provided as limits to the coverage and call quality triggers.

Abstract: Technologies for load balancing among neighboring cells of a mobile wireless communication network can reduce traffic congestion and improve network system capacity. Load balancing can be accomplished by adjusting various radio access network parameters. Such adjustments may be made at the cell level or at the neighboring cell level. The adjustments can be applied iteratively in response to various collected operational statistics. The adjustments can adapt cell size and cell shape as well as adapt handover to maximize system resource and hardware utilization. An iterative process of optimization can periodically collect performance statistics and network configuration from a mobile wireless network. The collected information can be periodically analyzed to determine parameter adjustments. Configuring additional capacity from the communication network can prevent or substantially delay the acquisition of additional hardware resources to mitigate system capacity issues.