Browsing by Author "Yihenew, Wondie"

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    Big Data Analytics for Prediction of Mobile Users Movement using Neural Networks
    (Addis Ababa University, 2019-06) Selamawit, Engliz; Yihenew, Wondie
    The rise of data warehouses and the rise of multi-media, social media and the Internet of Things (IoT) generate an increasing Volume of structured, semi-structured and unstructured data. Towards the investigation of these large Volumes of data, Big Data and data analytics have become emerging research fields attracting the attention of academia, industry and governments. Researchers, entrepreneurs, decision makers and problem solvers view ‘Big Data’ as an important tool used to revolutionize various industries and sectors, such as business, health-care, retail, research, education and public administration. In this context, a general view on analysis of Big Data, especially in telecommunications industry is proposed. In order to allocate scarce resources efficiently the location of mobile users should be predicted. So, this work focuses on analysis of data for mobile users movement prediction in telecommunications network. The objective of this work is to process and analyze obtained samples of OpenCelliD data by means of Neural Network and provide as accurate mobile users movement prediction as possible. More specifically, Modified Levenberg-Marquardt (LM) algorithm is presented as an effective algorithm for movement prediction. Obtained result from prediction is optimized by iteration method designed for finding the best possible combination of Neural Network parameters. Efficiency of mobile users movement prediction is verified by simulation in Matrix Laboratory (MATLAB). Simulation results show sufficient accuracy for wide use of prediction for mobile networks optimization or services exploiting prediction of mobile users movement. Measured results fully reflect real solution for telecommunications industry and can help to plan activities connected with mobile users movement in a given area.
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    Interference Mitigation Using eICIC in LTE-A Heterogeneous Network: The Case of Ethiotelecom
    (Addis Ababa University, 2021-12) Beza, Mengistu; Yihenew, Wondie
    The increase in smart device numbers and also high-capacity demanding services has led to growth in wireless cellular data traffic. This forces mobile operators to increase network capacity to meet subscriber demand. In order to increase network capacity, one solution can be dense network with macro cell, however this has high deployment cost as well as running cost. Therefore, Heterogeneous cellular networks (HetNets) can be a solution to serve this high demand on mobile data traffic and minimize cost. HetNets consist of low power cells (micro / pico / femto cells) installed on the tier of well-planned macro base station (BSs). Due to random deployment of small BSs, the interference level in the network increases, especially in cell-edge areas, where two or more BSs compete for coverage and can transmit and receive from the same user equipment (UE) device. Interference is big challenge to capacity improvement and coverage enhancement, as well as for spectral efficiency and energy efficiency. To improve interference problem, operator need to deploy interference management techniques proposed in third Generation Partnership Project(3GPP), such as Inter Cell interference coordination eICIC, Further Inter Cell interference coordination (FeICIC), and Coordinated Multipoint (CoMP). This thesis mainly focuses on downlink inter-cell interference in LTE- A macro-pico scenario and uses eICIC to mitigate intercell interference in Addis Ababa, Bole area. Due to small coverage area of pico cell, cell range expansion has been introduced to encourage UEs offloading from macro cell to pico cell and also Almost Blank Subframes (ABS) to mute macro cell and reserve resource for pico cell users. Computer simulations are carried out using matlab code after carrying out network simulation in winprop. According to the observation, Pico cell users are experiencing interference from high-power macro nodes. Cell edge users are experiencing high interference from macro cell and their throughput is low without eICIC. Moreover, the simulation results demonstrate HetNet deployment improves overall system throughput but interference is an issue to be solved. The simulation result shows 70% increase in cell edge user performance by using eICIC.
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    Planning and Analysis of Energy Efficient Multi-RAT Networks: The case of Addis Ababa City
    (Addis Ababa University, 2019-11-29) Haftom, Gebrslassie; Yihenew, Wondie
    Now a day’s wireless communication is one of the most active areas of technology development. It enables customers to use communication services like telephony or internet services at anytime and anywhere. A multitude of varying radio access technologies has been developed in which they differ in their radio coverage, spectral efficiency, cell capacity, and peak data rate. For a network operator different radio access technology may best be suited in different parts of the network in terms of the radio environment, the expected traffic pattern, and the anticipated services. But cooperating of multiple radio access technologies by combining into a common network to allow network convergence and resource management is the main concern for the operator. On the other hand, energy is a scarce resource and becoming a main concern due to the increasing demands on natural energy resources. Hence, implementation of energy efficient communication networks has become the main research concern currently. Therefore, avoiding of unnecessary energy consumptions by adopting sleep mode mechanisms is promising solution as BSs consume the highest proportion of energy expenditure in cellular networks. Sleep mode techniques aim to save energy by selectively turning off BSs during “off-peak” hours. This thesis deals with the procedure of how to carry out the Multi-RAT RNP for 2G, 3G, and 4G networks and reduce power consumption of the planned network without compromising the expected service. All the required steps and methods of RNP for Multi-RATs including GSM, UMTS & LTE like dimensioning, site selection for BS location, and radio resource management strategies has been addressed. The RNP focuses specially on the coverage, capacity dimensioning and frequency planning. Finally, minimizing of BSs energy consumption by switching off selective BSs based on daily network traffic load is addressed. Hence, the main aim of this thesis is planning of energy efficient Multi-RAT network for a dense urban area and Addis Ababa city is used as a case study. The planning considers that one site may have different access technologies with different configuration scenarios, depending on the subscribers and other parameters due to the reason of GSM network is excellent for coverage and mostly used for voice service, and UMTS & LTE have less coverage and mostly used for data.