Postgraduate Project Topics, Thesis and Dissertation
9701. Analyzing Impact Of Segment Routing Mpls On Qos
Multiprotocol Label Switching ( MPLS) Segment Routing (SR), SR-MPLS in short, is anrnMPLS data plane-based source routing paradigm in which a sender of a packet is allowed tornpartially or completely specify the route the packet takes through the network by imposingrnstacked MPLS labels to the...
9702. Qos Performance Evaluation Of Rwa Algorithms Under Different Resilience Mechanisms In The Case Of Ethiotelecom Backbone Network
For the past decades, data traffic demand considerably increased in volume and quality due tornthe advent of capable end-user devices and innovative data services. To accommodate thernhighly increasing data traffic volume and customer demand for service with better quality, anrnautomatic switched...
9703. Optimal Multi-objective Capacity Enhancement And Energy Efficient Hetnet Planning And Deployment Approach The Case Of Addis Ababa Ethiopia
Following growth in infrastructure, number of subscribers and availability of smart devices andrnapplications, the aggregate cellular data traffic in Addis Ababa city’s cellular network isrnincreasing exponentially. Moreover, traffic growth follows non-uniform distribution both in spacernand...
9704. Performance Comparison Of Classiers For Prospective Buyers Identication In Ethio Telecom Mobile Cross-selling Market
Direct marketing is a form of communicating an offer directly to a targeted group ofrncustomers through a variety of media. It plays a major role in customer retention andrnservice provisioning tasks. Retaining customers by providing products and services thatrnmeet their need is one of the main...
9705. Performance Analysis Of Prole Based Paging For Addis Ababa Umts Networks
Paging is an important mobile network procedure that is performed to locate andrnconnect mobile users when they receive calls/sessions. It is needed as users arernmobile, and continuously updating their serving cells is not bandwidth efï¬cient.rnIn traditional broadcast paging, all cells of a...
9706. Umts Network Coverage Hole Detection Using Decision Tree Classifier Machine Learning Approach
Due to various innovative mobile services and applications, traffic is constantly increasingrnin size and complexity globally and as well as locally in Ethiopia. To fulfill thesernrequirements in both quality and quantity, a wide range of radio frequency signal coveragernareas are required. One...
9707. Near-real Time Sim-box Fraud Detection Using Machine Learning In The Case Of Ethio Telecom
The advancement of telecommunication era is rapidly growing, however, telecomrnfraudsters encouraged by the emerging of these new technologies. Interconnectrnbypass fraud is one of the most sever threats to telecom operators. SubscriberrnIdentity Module Box (SIM-box) fraud is one of an interconnect...
9708. Spatiotemporal Modeling Of Short Message Service Traffic Distribution
Short Message Service (SMS) is a widely used text messaging service on mobile devices.rnBusiness owners and companies look forward to new ways of promoting their servicesrnand products to reach and attract the intended users. However, SMS distribution is notrninvestigated in Ethio Telecom with...
9709. Machine Learning Based Qoe Estimation Model For Video Streaming Over Umts Network
The advent of data-intensive services needs quality Internet services. This in turn, makes Qualityrnof Experience (QoE) gain prominent recognition in the telecommunications industry. Ethio telecomrnuses network Quality of Service (QoS) monitoring data obtained from Network ManagementrnSystems (NMS)...
9710. Qoe Model For Addis Ababa Lte Web Browsing Service Using Neural Network Approach
In order to address the customer’s satisfaction, mobile operators try to find out what therncustomer needs and what quality makes the customer satisfied. The customer satisfactionrncan be measured or estimated by Quality of Experience (QoE) measurement. Its estimationrnrnand measurement is...
9711. A Comparative Analysis Of Machine Learning Algorithms For Subscription Fraud Detection The Case Of Ethio Telecom
In these days due to the development of affordable technologies, the numberrnof subscribers and revenue-generating increased over the past few years in therntelecommunication industry. However, advancements of the telecom industry providesrncertain appearances that stimulate fraudsters. One of the...
9712. Spatiotemporal Mobile Data Traffic Prediction Using Convolutional Long Short-term Memory The Case Of Addis Ababa Ethiopia
Globally, exponential data growth is observed with mobile traffic generated from devices likerntablets, smartphones and other devices. Likewise, Addis Ababa city’s cellular network data trafficrnis increasing exponentially. To absorb this high traffic demand ethio telecom, the telecom...
9713. Usage Based Clustering Of Customers For Mobile Service Packaging
Satisfaction of customers is the most important factor for mobile operators to be successful. This needsrneffective customer segmentation and segment targeted mobile service packaging and delivery. Segmentationrndifferentiates customers into multiple groups that manifest different service needs...
9714. Road Traffic Congestion Estimation Using 3g Handover Data For The Case Of Addis Ababa
There is an increase in vehicle use in Addis Ababa which increases by 5% annually, not onlyrnthis but also the urban arterial roads are of mixed type and there are no automated means thatrnmonitor the road traffic congestion. This creates road traffic congestion which is one of thernmain problems...
9715. Market Segmentation Of Mobile Internet Customers Using Clustering Algorithms The Case Of Ethio Telecom
Telecom companies utilize data mining algorithms and tools to understand thernbehaviors of their customers. Cluster analysis is one of the techniques used tornidentify homogenous groups of customers from a heterogeneous group basedrnon the customers’ service usage records. Clustering...
9716. Performance Analysis Of Spectrum Scenarios For Outdoor Lte Small Cell Planning The Case Of Addis Ababa Ethiopia
Due to the increasing penetration of smart devices and data intensive applications, mobilernnetwork operators are experiencing exponential data growth. In effect, network capacityrnlimitation that leads to performance degradation is observed. To address this limitation,rndeployment of different...
9717. Video Streaming Data Traffic Prediction By Using Long Short Term Memory (lstm) Model In The Case Of Umts Network In Addis
Predictive analysis of mobile network traffic is fundamental for the next-generation cellular network.rnProactively knowing user demand allows telecom systems to perform optimal resource allocation.rnNowadays, telecom companies face a network congestion problem; this problem results in longer...
9718. Analysis And Prediction Of Mobile Application Usage Based On Location In Case Of Ethiotelecom
The explosive growth of smart devices, network access points, and new mobile applicationrndevelopment drives users to use more and more mobile applications and, this hasrnlead to the explosive growth of mobile data trafï¬c. It has a high impact on mobile servicernproviders to manage network...
9719. Data-driven Qoe Model For Addis Ababa Lte Video Streaming Using Fuzzy Logic Inference System
Nowadays, the video streaming services become the most dominant service as peoplernare more interesting watching online television programs and Video on Demandrn(VoD). This requires a high speed and high capacity network infrastructure. The LongrnTerm Evolution (LTE) network infrastructure of Addis...
9720. Optimized Line Amplifier Placement For Energy Saving A Case Study Of Ethio Telecom Optical Backbone Network
In recent years, traffic volume is increasing tremendously. In line with this increment,rntelecom operators expand their network infrastructure. This increases power consumption ofrnthe network. Especially in a backbone network, where power consumption is dependent onrntraffic volume, the increase...
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