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This paper presents a methodology for the automatic detection of sub-optimal performance in UMTS networks based on drive-test measurements. The proposed methodology can be seen as a first step towards the more ambitious objective of implementing Self-Organising Network (SON) concepts in future wireless networks. In fact, the lessons learnt from real UMTS case studies enable the identification of key...
The optimization of third-generation mobile communication systems has become an important aspect for network operators. This paper proposes a new methodology for RF failure detection in UMTS networks based on key performance indicators (KPI) which are obtained by measuring certain parameters at different network entities. With the proposed methodology possible uplink problems are identified. The proposed...
In this paper, an innovative mechanism to perform joint radio resource management (JRRM) in the context of heterogeneous radio access networks is introduced. In particular, a fuzzy neural algorithm that is able to ensure certain quality-of-service (QoS) constraints in a multicell scenario deployment with three different radio access technologies (RATs), namely, the wireless local area network (WLAN),...
This paper considers a heterogeneous radio access network scenario where different radio access technologies (RATs) are jointly managed. The RAT selection algorithm is based on the fittingness factor concept, which is a generic representation of the different factors that may influence the RAT selection decision. The flexibility provided by the fittingness factor characterization is illustrated in...
In this paper it will be shown how the fuzzy neural methodology can be used to develop an innovative mechanism to perform joint radio resource management (JRRM) in the context of heterogeneous radio access networks (RANs). In particular, an algorithm able to ensure certain quality of service (QoS) constraints in a multi-cell scenario deployment with three different radio access technologies (RATs),...
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