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Coverage extension and quality, cell power utilization, neighbor cells ranking and other information normally provided by expensive field measurement campaigns can alternatively be extracted from signaling monitored in the Radio Network Controller. This paper, after reviewing a set of key performance metrics and optimization solutions validated exp...
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... example of RL power distributions for Circuit Switched (CS) voice (AMR) and video calls and Packet Switched (PS) Non Real Time (NRT) services is depicted in Fig.2. The power distributions can be used to: -Verify the impact on power utilization efficiency when modifying the RNC data build parameters of specific services -Identify cells that use higher power compared to the average values in a reference area, in order to detect abnormalities in path loss (due to long range coverage, indoor traffic, cable losses), downlink interference or wrong parameter settings -Obtain a semi-empirical model to forecast the evolution of the downlink power usage as a function of the traffic increase (the calculation method will be shortly described in section 3.2) ...
Citations
... @BULLET Data Centers monitoring capabilities at physical, virtual and service applications level introduced by the RESER- VOIR 2 European project. Our architecture can be extended to coordinating monitoring capabilities beyond cloud monitoring system, such as those provided by traditional telco probes: @BULLET Software instances embedded in Network Elements[12]. @BULLET Dedicated equipment (physica l probe) intercepting messages exchanged among Network Elements[13]. ...
In recent years there has been a considerable research surrounding multi-provider cloud platforms. Various architectures for realizing such systems have been proposed. However, most of this research has overlooked (or mentioned in passing) a vital aspect for the multi-provider deployment of platforms: the design of a monitoring systems to co-ordinate the monitoring systems in those platforms. This paper presents an architecture for a centralized monitoring system that coordinates the operation of individual domain-dependent monitoring systems. Our architecture enables the possibility for a global administrator to centrally define resource specific monitoring policies which can then be cascaded to the respective monitoring sub-systems. Owners of those sub-systems can also define their own policies based on the cascaded policies and their own requirements and preferences. We demonstrate with an example how this can be achieved within our innovative architecture.
... The amount of data collected from telecommunications networks has increased during last decade significantly [6]. The data available today is richer in detail and complexity, which creates more requirements also for automated data analysis tools [2,10]. In this research we propose unsupervised classification methods for analyzing the quality of cells. ...
The amount of data collected from telecommunications networks has increased significantly during the last decade. In comparison to the earlier networks, present-day 3G networks are able to provide more complex and detailed data, such as distributions of quality indicators. However, the operators lack proper tools to efficiently utilize these data in monitoring and analyzing the networks. Classification of the network elements (cells) into groups of similar behavior provides valuable information for a radio expert, who is responsible of hundreds or thousands of elements.
In this paper we propose fuzzy methods applied to 3G network channel quality distributions for analyzing the network performance. We introduce a traditional fuzzy inference system based on features extracted from the distributional data. We provide interpretation of the resulting classes to demonstrate their usability on network monitoring. Constructing and maintaining fuzzy rule sets are laborious tasks, therefore there is a demand for data driven methods that can provide similar information to the experts. We apply fuzzy C-means clustering to create performance classes. Finally, we introduce further analysis on how the performance of individual network elements varies between the classes in the course of time.
In comparison to the earlier telecommunications networks, present-day 3rd generation (3G) networks are able to provide more complex and detailed performance data, such as distributions of channel quality indicators. However, the operators lack proper methods and tools to efficiently utilize these data in monitoring and analysis of the networks. In this article, we apply fuzzy computing to channel quality measurement distributions to get the network elements (cells) clustered into groups of similar behavior. Groups and their descriptors provide valuable information for a radio expert, who is responsible for hundreds or thousands of elements. We introduce a fuzzy inference system based on features extracted from the distributional data and provide interpretation of the found categories to demonstrate their usability on network monitoring. Additionally we present how fuzzy clustering can be used in network performance monitoring and anomaly detection. Finally, we introduce further analysis on how time dimension is an interesting perspective to analyze network element behavior. All the achieved results were discussed with radio network performance experts who found them informative and useful.
In this paper a self optimising algorithm for neighbourcell lists in a WCDMA Network is proposed. The effect of a missing WCDMA cell that should be defined as a neighbour degrades network performance. It is likely to cause interference, resulting in bad quality or a dropped connection. The radio environment and network is a dynamic system and the original neighbour plan needs to be auto tuned in order to be effective. New clutter with the addition of buildings and new sites for example with their radio pollution warrant the method of auto tuning neighbour cell lists. Network outages, planned or unplanned, contribute to poor user experience. Prediction based neighbour cell lists are not optimal. An algorithm that utilises a measurement based approach to update neighbour lists automatically with selection priority is proposed. Parsed data is analysed with fuzzy logic, optimised neighbour lists with selection priority are generated and downloaded into the network. The proposed algorithm for automated optimization of neighbor cell lists was trialled and validated in a live WCDMA network. The Experimental results showed the described methodology to bean optimal solution for self-optimising WCDMA radio access networks.
