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Optimization of Electrical Tilt for Addis Ababa LTE Deployment Scenario

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Information and Communication Technology for Development for Africa (ICT4DA 2019)

Abstract

Demand for mobile broadband connectivity is significantly increasing and mobile network operators are continuously improving their network by introducing new technologies to accommodate the demand. After mobile network is operational for the first time, to maximize network performance, it is common to perform further optimization of initially planned and configured network parameters. One important category of such network parameters that incur significant network performance impact is antenna parameters including antenna tilt. Optimization of antenna tilt plays a major role in improving network coverage, capacity, load balancing and mitigating interference of mobile networks. To deliver mobile data services with better quality of experience, long term evolution (LTE) network has been operational in Addis Ababa, Ethiopia since 2015. In this paper, we evaluate performance of this Addis Ababa LTE network from antenna tilt perspective. Based on the evaluation, we also perform optimization of the antenna tilt by applying educated trial and error optimization approach that is focused to address worst performance areas. The performance evaluation and optimization of the network are undertaken using WinProp simulation tool. Results show that there is still a room to optimize antenna tilt further for better performance.

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Acknowledgment

This work is performed under telecom MSc program jointly implemented by ethio telecom and Addis Ababa Institute of Technology. Network data is collected from staffs of engineering department of ethio telecom.

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Correspondence to Taddege Assefa Beyene or Beneyam Berehanu Haile .

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Beyene, T.A., Haile, B.B. (2019). Optimization of Electrical Tilt for Addis Ababa LTE Deployment Scenario. In: Mekuria, F., Nigussie, E., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2019. Communications in Computer and Information Science, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-26630-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-26630-1_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26629-5

  • Online ISBN: 978-3-030-26630-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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