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—Handover parameter optimization is a self-optimizing network (SON) use case that promises significant performance improvement of the radio network. The basic idea is to adapt the handover control parameters, hysteresis and time-to-trigger, to the individual cell situation, in terms of e.g. the building density, cell environment and degree of user mobility.(More)
—In this paper we present system level simulation results of a self-optimizing load balancing algorithm in a long-term-evolution (LTE) mobile communication system. Based on previous work [2][1], we evaluate the network performance of this algorithm that requires the load of a cell as input and controls the handover parameters. We compare the results for(More)
This paper presents an enhanced version of a self-optimizing algorithm that tunes the handover (HO) parameters of a LTE (Long-Term Evolution) base station in order to diminish the negative effects that can be introduced by handover (radio link failures, HO failures and ping-pong handovers) and improve the overall network performance. While the default(More)
Self-organisation (self-optimisation, self-configuration, and self-healing) methods are a promising concept to automate wireless access network planning, deployment and optimisation. This paper contains a mind setting exercise. First the mechanisms for which self-organisation is anticipated to be effective and feasible are identified. Then technical and(More)
This article introduces an enhanced version of previously developed self-optimizing algorithm that controls the handover (HO) parameters of a long-term evolution base station in order to diminish and prevent the negative effects that can be introduced by HO (radio link failures, HO failures and ping-pong HOs) and thus improve the overall network(More)