Abstract: Technologies are described herein for parameter optimization of at least one interlayer handover in a multilayer wireless cellular communication network. Performance information for the communication network is retrieved. The retrieved performance information for the communication network is then averaged over a predetermined period of time. A determination is made based on the performance information as to whether optimization of the communication network is required. If so, the interlayer handover is optimized by capturing a current set of configuration parameters for the interlayer handover, generating a new set of configuration parameters for the interlayer handover based on the retrieved performance information and the current set of configuration parameters, and applying the new set of configuration parameters to the communication network.

Abstract: Technologies are described herein for parameter optimization of at least one interlayer handover in a multilayer wireless cellular communication network. Performance information for the communication network is retrieved. The retrieved performance information for the communication network is then averaged over a predetermined period of time. A determination is made based on the performance information as to whether optimization of the communication network is required. If so, the interlayer handover is optimized by capturing a current set of configuration parameters for the interlayer handover, generating a new set of configuration parameters for the interlayer handover based on the retrieved performance information and the current set of configuration parameters, and applying the new set of configuration parameters to the communication network.

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 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.