Abstract: A method, device and system for method of optimizing a feature of a communication network prior to implementing a future service is provided. A plurality of network nodes in the communication network is assigned to a network cluster. At least one value for a respective key performance indicator (KPI) for data exchanged between the network nodes in the network cluster is determined, where the data is associated with a first communication service. And a need for an optimization of a feature of the communication network in response to the value for the KPI being outside of a range, prior to implementation of a second communication service is determined.

Abstract: A method, device and system for method of optimizing a feature of a communication network prior to implementing a future service is provided. A plurality of network nodes in the communication network is assigned to a network cluster. At least one value for a respective key performance indicator (KPI) for data exchanged between the network nodes in the network cluster is determined, where the data is associated with a first communication service. And a need for an optimization of a feature of the communication network in response to the value for the KPI being outside of a range, prior to implementation of a second communication service is determined.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for accurately predicting radio propagation from signal strength measurements. Dynamic range limitations in the measurement data are explicitly taken into account. The resulting propagation models accurately predict signal strength for calculation of coverage and interference.

Abstract: Methods for interactively adjusting antennas and displaying network state elements in a simulated wireless network with real-time calculation and a complete display of the effect of the modification on the network performance. The result is an intuitive and efficient way of maintaining a wireless network that replaces a common multi-step, time consuming and tedious operation of network maintenance, by a single step operation that is performed in real time.