• Comparative Analysis of Knowledge Base System Development Approaches in the Context of Ethio Telecom 

  Biruktait, Fikre (Addis Ababa University, 2022-01)

  For a successful business, telecom companies need to provide consistent, quality and timely maintenance and support to their customers. This is difficult to achieve without timely availability of domain experts that can ...
• A Cloud Adoption Readiness Model for the Case of the National Data Center of Ethiopia with Mixed Approaches 

  Habtamu, Bekele (Addis Ababa University, 2021-12)

  The deployment of the right innovative technologies to government organizations can provide competitive advantages to the citizens. Cloud computing (CC) is an emerging and transformative technology that offers IT services ...
• Techno-Economic Analysis of Hybrid SDN Deployment: In the Case of Ethio Telecom 

  Melat, Mitiku (Addis Ababa University, 2021-11)

  The growth in data traffic volume from access network are increasing exponentially which in turn exert a pressure on IP core network and force the operator either to optimize or upgrade their core networks. However, without ...
• Design Optimization of Tracking Area in LTE Networks Using Clustering Techniques 

  Zelalem, Tesfaye (Addis Ababa University, 2021-12)

  The intense competition in the telecommunications market forces operators and service providers to require optimized and cost-effective networks. In the study of Long Term Evolution (LTE) network location management, one ...
• Inter-Cell Interference Mitigation in LTE-Advanced Network by Using Coordinated Multipoint Transmission Technique: The Case of Addis Ababa, Ethiopia 

  Getaneh, Molla (Addis Ababa University, 2021-10)

  The number of mobile broadband subscribers is increasing along with mobile data traffic on the Ethiopian mobile network. Mobile customers are facing dissatisfied service quality as the number of subscribers is increasing ...
• Machine Learning Based Mobile Airtime Credit Risk Prediction using Customer Profile and Loan Information 

  Shashu, Brhane (Addis Ababa University, 2021-12)

  Airtime credit service is usually used by prepaid mobile subscribes when they cannot recharge their service number. The credit service helps to increase service subscribers' satisfaction and revenue of the telecom operator. ...
• QoS Performance Evaluation of Segment Routing Traffic Engineering- (SRTE) 

  Halefom, Gebremedhin (Addis Ababa University, 2021-12)

  Today's telecom services have rather high expectations for quality of service (QoS), especially as internet applications become increasingly sensitive to time and delays. Because they are real-time, the crucial nature of ...
• Hotspot Prediction Using Deep Learning: In the Case of Addis Ababa LTE Network 

  Gebremedhin, Weldemariam (Addis Ababa University, 2022-01)

  Due to users demand for high mobile bandwidth, operators increasingly spend money in routine optimization activities, adding cell sites, and deploying new technologies. This is mainly to improve capacity and quality of ...
• Customer Size Prediction using Machine Learning Approach for Mobile Package Development in ethio telecom 

  Desalegn, Medhin (Addis Ababa University, 2021-12)

  Nowadays the telecom market is competitive and telecom operators launch various new service packages to meet customer needs. New package and tariff preview is important to ensure business continuity for telecom operators. ...
• Subscription Fraud Prevention in Telecommunication using Deep Learning Approach: The Case of Ethio Telecom 

  Gebremeskel, Aregay (Addis Ababa University, 2021-12)

  With the rapid development of telecommunication services, telecommunication fraud is a challenging issue that fraudsters continuously participate in abusing the services to get undeserved benefit. For telecommunication ...
• Mobile Roaming Fraud Detection Based on User Behavior: In Case of Ethio Telecom 

  Samuel, Mekasa (Addis Ababa University, 2022-01)

  Mobile roaming data-internet fraud, committed on visitor networks is a continued challenge and significant source of revenue losses for telecommunications societies including customers. The actually introduced prevention ...
• A Deep Neural Network Approach for Spatiotemporal Throughput Prediction in LTE Network 

  Redamichael, Jemberu (Addis Ababa University, 2021-10)

  In the mobile broadband era, whereby high-resolution video services are emerging, user throughput is a key metric to ensure the satisfaction of user experience. Monitoring and assuring the desired level of user throughput ...
• Mobile Data Traffic Prediction Using Multivariate Time Series Data: The Case of LTE Network in Addis Ababa 

  Endale, Mare (Addis Ababa University, 2021-09)

  Due to various reasons including the advancement of mobile devices and the proliferation of data-intensive applications, the demand for mobile data traffic is increasing rapidly. Mobile network providers are facing a ...
• Analysis of Land Mobile Spectrum Occupancy using Spatial Interpolation Algorithms: For the Case of Addis Ababa, Ethiopia 

  Rufael, Getachew (Addis Ababa University, 2021-09)

  An increase in the development of information industry and wireless communication services shows an increase demand for spectrum resource. Spectrum is a limited resource that needs to be managed properly to enable additional ...
• Rain Attenuation Estimation and Modeling for Terrestrial Microwave and Millimetric Band in Ethiopia 

  Meseret, Chalachew (Addis Ababa University, 2022-01)

  Researchers and network designers had been encouraged to have a look at communication structures that perform at microwave and millimeter-wave bands for high speed, and dependable wi-fi communication structures. Typically ...
• Time Series Forecasting for Incoming Call Volume using LSTM: The case of Ethio Telecom Call Center 

  Mebrhit, Hailay (Addis Ababa University, 2022-01)

  An accurate forecasting of incoming call volume traffic is key for the operational planning of an inbound call center service. By forecasting, the correct number of incoming calls volumes traffic, can determine staffing ...
• Semi Automated Acceptance Testing Using Information Retrieval 

  Debela, Tadesse (Addis Ababa University, 2021-11)

  Requirements Engineering(RE) is the discipline of eliciting, analyzing, specifying, validating and managing needs and constraints of a software product. It attempts to document the ideas and needs of the product’s stakeholders ...
• Interference Mitigation Using eICIC in LTE-A Heterogeneous Network: The Case of Ethiotelecom 

  Beza, Mengistu (Addis Ababa University, 2021-12)

  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 ...
• Fault Localization Using Neural Networks For Fault Management Based on Alarm Correlation Analysis: The Case of Ethio telecom 

  Tsion, Ketema (Addis Ababa University, 2021-11)

  Telecommunication sector has considerably large network infrastructure consisting of different network equipment to provide telecom services to the customers. As a service provider, telecom operators have to make sure ...
• A Termination Prediction for Postpaid Mobile Service using Machine Learning: The Case of Ethio Telecom 

  Tewabe, Kassaw (Addis Ababa University, 2022-02)

  Customer churn is a major issue for operators that may greatly affect their revenue. Even if in Ethiopia’s monopolistic market, there is still a challenge in the form of subscriber service termination. To solve this ...

View more