Abstract: A method for dynamic radio framing includes determining, with a network component of a cellular wireless network, that a transmission of application data packets through the cellular wireless network between a cellular mobile device and an application server is covered by a local latency policy, the cellular mobile device running an application that is associated with the application server. The network component sets one or more latency alert flags in a header of a second data packet when the user-plane packet delay(s), determined using first timestamps appended to header data of a first data packet, is/are higher than respective user-plane latency threshold(s) defined in the local latency policy. The base station dynamically changes, in response to the latency alert flag(s) and second timestamps associated with the second data packet, one or more radio-framing parameters to reduce a data-transmission latency between the base station and the cellular mobile device.

Abstract: The energy-savings state of a cellular network access area is determined at the cluster level where each cluster includes multi-carrier sectors having high handover attempts to one another. To determine if the cluster can transition into an energy-savings state, key performance indicators for the cluster are evaluated. Each sector-level KPIs is converted into a cluster-level KPI by taking the maximum value of the sector-level KPI across the cluster. The cluster-level KPIs can indicate that the cluster can transition into the energy-savings state when the cluster's user count and/or its capacity utilization are lower than first predetermined threshold values. The order that each frequency layer in the cluster transitions into and out of an energy-savings state is determined by the frequency layer's energy-savings priority.

Abstract: A method for optimizing capacity and coverage in a target area of a multi-radio access technology (RAT) cellular network. In some aspects, the performance of the higher-generation RAT and that of the lower-generation RAT are each evaluated in order to optimize the capacity and coverage of the higher-generation RAT.

Abstract: A method for optimizing capacity and coverage in a target area of a multi-radio access technology (RAT) cellular network. In some aspects, the performance of the higher-generation RAT and that of the lower-generation RAT are each evaluated in order to optimize the capacity and coverage of the higher-generation RAT.

Abstract: A system and method for dynamically improving or optimizing the performance and robustness of a wireless communication network such as a mobile communication system or cellular telephony network are disclosed. In some aspects, a plurality of time and space dependent key performance indicators (KPI) are used as part of a statistical determination of a pattern and schedule for optimizing the design, configuration and operation of the network. By dynamically applying a method of multiple KPI deviations (MKD) the system and method improves handover execution in cellular or similar systems and reduces radio link failures and improves overall subscriber service quality.

Abstract: A system and method for dynamically improving or optimizing the performance and robustness of a wireless communication network such as a mobile communication system or cellular telephony network are disclosed. In some aspects, a plurality of time and space dependent key performance indicators (KPI) are used as part of a statistical determination of a pattern and schedule for optimizing the design, configuration and operation of the network. By dynamically applying a method of multiple KPI deviations (MKD) the system and method improves handover execution in cellular or similar systems and reduces radio link failures and improves overall subscriber service quality.

Abstract: A system and method for dynamically improving or optimizing the performance and robustness of a wireless communication network such as a mobile communication system or cellular telephony network are disclosed. In some aspects, a plurality of time and space dependent key performance indicators (KPI) are used as part of a statistical determination of a pattern and schedule for optimizing the design, configuration and operation of the network. By dynamically applying a method of multiple KPI deviations the system and method improves handover execution in cellular or similar systems and reduces radio link failures and improves overall subscriber service quality.