Abstract: Providing for network repair prioritization as a function of impact on network services is described herein. By way of example, impact of a given service outage on surrounding network infrastructure and associated terminals can be analyzed and estimated. The impact can be characterized at least in part by changes in loading to surrounding network equipment, as well as related quality and performance metrics. Network impact estimates and loading changes can be derived through mobile device position data for an impacted area and identifying overlapping coverage areas, and signal characteristics of the surrounding network infrastructure. Measured or predicted changes in network performance can be scored to provide relative priorities for allocating limited service personnel in repairing base station errors. Personnel resources can therefore be deployed in a manner that more accurately reflects customer service goals of a network provider.

Abstract: Providing for network repair prioritization as a function of impact on network services is described herein. By way of example, impact of a given service outage on surrounding network infrastructure and associated terminals can be analyzed and estimated. The impact can be characterized at least in part by changes in loading to surrounding network equipment, as well as related quality and performance metrics. Network impact estimates and loading changes can be derived through mobile device position data for an impacted area and identifying overlapping coverage areas, and signal characteristics of the surrounding network infrastructure. Measured or predicted changes in network performance can be scored to provide relative priorities for allocating limited service personnel in repairing base station errors. Personnel resources can therefore be deployed in a manner that more accurately reflects customer service goals of a network provider.