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The current trend in the management of mobile communication networks is to increase the level of automation in order to enhance network performance while reducing Operational Expenditure (OPEX). In this context, the 3rd Generation Partnership Project (3GPP) has presented different solutions. On the one hand, Self-Organizing Networks (SON) include self-healing capabilities, which allow operators to...
Planning of current and future mobile networks is becoming increasingly complex due to the heterogeneity of deployments, which feature not only macrocells, but also an underlying layer of small cells whose deployment is not fully under the control of the operator. In this paper, we focus on selecting the most appropriate Quality of Service (QoS) prediction techniques for assisting network operators...
This paper studies the feasibility of using Timing Advancing (TA) information together with radio fingerprints for improving position estimation of Minimization of Drive Test (MDT) trace record measurements. Performance evaluation is carried out by analyzing field measurements from commercially deployed LTE (Long Term Evolution) networks operating on 800 MHz, 1800 MHz and 2600 MHz frequency bands...
In this paper we evaluate user-equipment (UE) positioning performance of three cluster-based RF fingerprinting methods using LTE and WLAN signals. Real-life LTE and WLAN data were collected for the evaluation purpose using consumer cellular-mobile handset utilizing ‘Nemo Handy’ drive test software tool. Test results of cluster-based methods were compared to the conventional grid-based RF fingerprinting...
In this paper we propose a novel cluster-based RF fingerprinting method for outdoor user-equipment (UE) positioning using both LTE and WLAN signals. It uses a simple cost effective agglomerative hierarchical clustering with Davies-Bouldin criterion to select the optimal cluster number. The positioning method does not require training signature formation prior to UE position estimation phase. It is...
This paper evaluates positioning accuracy of radio fingerprinting algorithm in commercially deployed LTE (Long Term Evolution) network operating on 800 MHz, 1800 MHz and 2600 MHz frequency bands. Training database required for fingerprint positioning is constructed from field measurements that resemble LTE Release 10 Minimization of Drive Test (MDT) trace records. Performance is compared between LTE...
In this paper we propose a novel optimization algorithm for grid-based RF fingerprinting to improve user equipment (UE) positioning accuracy. For this purpose we have used Multi-objective Genetic Algorithm (MOGA) which enables autonomous calibration of grid-cell layout (GCL) for better UE positioning as compared to that of the conventional fingerprinting approach. Performance evaluations were carried...
In this paper we describe the design and implementation of the Minimization of Drive Tests (MDT) system in which user equipments (UEs) upload the measurement reports periodically or upon requests. Based on the collected measurement reports, the MDT system learns the knowledge about the communication environment. We also propose a signal strength forecast method, which is an interesting and promising...
This paper proposes a novel technique to enhance the performance of grid-based Radio Frequency (RF) fingerprint position estimation framework. First enhancement is an introduction of two overlapping grids of training signatures. As the second enhancement, the location of the testing signature is estimated to be a weighted geometric center of a set of nearest grid units whereas in a traditional grid-based...
This paper describes an algorithm for self-optimizing Mobility State Estimation (MSE) thresholds in heterogeneous Long Term Evolution (LTE) networks using Minimization of Drive Testing (MDT) measurement traces. The algorithm is using the MDT measurements to construct statistics of reselection and handover distributions for different mobility categories to learn how network topology and UE velocities...
This paper presents a performance evaluation of the Radio Frequency (RF) fingerprinting framework for positioning using Minimization of Drive Testing (MDT) measurements specified in LTE (Long Term Evolution) Release 10. Methods based on Mahalanobis distance and Kullback-Leibler divergence are used for estimating the geographical locations. Performance evaluation of the framework is verified with system...
In wireless mobile networks quality of user experience changes dynamically and depends on large variety of factors. Because of that mobile operators are willing to timely and effectively evaluate provided Quality of Service (QoS) in their networks. Nowadays the main tool for monitoring network state and performance is drive testing. To replace this expensive and mostly manual procedure, concept of...
This paper presents a performance evaluation of Radio Frequency (RF) fingerprinting framework in heterogeneous Long Term Evolution (LTE) networks using Minimization of Drive Testing (MDT) measurements which allow automated construction of extensive RF fingerprint training databases. Fingerprint positioning was studied in heterogeneous small cell and regular macro networks using LTE cell detection...
Despite the remarkable progress in radio access technology to support the rapidly increasing wireless data demand, coverage analysis remains as one of the indispensable topics on which mobile operators still need innovations, above all, in terms of operational efficiency together with performance. Manual coverage detection and prediction is an inefficient and costly task. In this paper we show how...
The existence of coverage holes in cellular networks is a common problem for mobile operators. Traditionally, the cellular coverage is computed using sophisticated planning tools, and then optimized through drive tests. With the drive tests information, the operators detect the poorly covered areas and take actions to eliminate them. The introduction of self-organized or “cognitive” techniques, would...
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