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Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario

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Biologically Inspired Techniques in Many-Criteria Decision Making (BITMDM 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 10))

Abstract

Radio coverage optimization is a critical issue for mobile network operators (MNO) in the deployment of future generation cellular networks, especially on users at cell edge. The key factor that influences the coverage in mobile networks is mostly related to the configuration of the antennas and especially the angle of antenna tilt. The received signal power in a cell can be increased with proper antenna tilt, causing a significant improvement in signal-to-interference-plus-noise ratio (SINR) at the cell edge. This also leads to reduction in interference towards other cells. In this paper, a method for coverage optimization using base station antenna electrical tilt in mobile networks for suburban scenario is proposed. The main focus is on the downlink power setting by using electrical antenna tilt in the mobile network. This proposed solution uses reinforcement learning technique and the simulation results shows that the proposed algorithm can used to improve overall network performance in terms of SINR and received signal power at the cell edge with 80–100% user satisfaction. The simulation has carried out by considering a multi-cell and three sector cellular networks in a suburban scenario where the users are randomly distributed.

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Authors and Affiliations

  1. Faculty of Telecommunications, Technical University of Sofia, Sofia, Bulgaria

    Soumya Ranjan Samal, Nikolay Dandanov & Vladimir Poulkov

  2. BML Munjal University, Gurgaon, India

    Shuvabrata Bandopadhaya

Authors
  1. Soumya Ranjan Samal
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  2. Nikolay Dandanov
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  3. Shuvabrata Bandopadhaya
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  4. Vladimir Poulkov
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Corresponding author

Correspondence to Soumya Ranjan Samal .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Technology, Fakir Mohan University, Balasore, Odisha, India

    Satchidananda Dehuri

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Bhabani Shankar Prasad Mishra

  3. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  4. Department of Computer Science, Yonsei University, Seoul, Korea (Republic of)

    Sung-Bae Cho

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

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Samal, S.R., Dandanov, N., Bandopadhaya, S., Poulkov, V. (2020). Adaptive Antenna Tilt for Cellular Coverage Optimization in Suburban Scenario. In: Dehuri, S., Mishra, B., Mallick, P., Cho, SB., Favorskaya, M. (eds) Biologically Inspired Techniques in Many-Criteria Decision Making. BITMDM 2019. Learning and Analytics in Intelligent Systems, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-39033-4_22

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