International Journal of Wireless Communications and Mobile Computing

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Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss

Received: Mar. 13, 2019    Accepted: May 08, 2019    Published: May 31, 2019
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Abstract

Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it is considered in this work. The paper explores diverse sort of wireless backhauls that delivers unlike data rates, and their impact on the served users. We present a dual model network0centric’s and user0centric’s and the optimum 3 dimensional assignment of a UAV is calculated for each model. We then maximized the quantity of attended consumers and sum rates for both models. Furthermore it is preferred to lessen the UAV movements which results in increasing flying time & decreases channel variants and the performance of the network is analyzed in correspondence to the user’s translations.

DOI 10.11648/j.wcmc.20190701.14
Published in International Journal of Wireless Communications and Mobile Computing ( Volume 7, Issue 1, June 2019 )
Page(s) 27-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

User Maximization, NOMAD, Backhaul, UAV’s

References
[1] R. I. Bor-yaliniz, A. El-keyi, and H. Yanikomeroglu, “Efficient 3-D Placement of an Aerial Base Station in Next Generation Cellular Networks,” 2016.
[2] M. Alzenad, M. Z. Shakir, H. Yanikomeroglu, and M. Alouini, “FSO-Based Vertical Backhaul / Fronthaul Framework for 5G + Wireless Networks,” no. January, pp. 218–224, 2018.
[3] S. Chandrasekharan et al., “Designing and Implementing Future Aerial Communication Networks,” no. May, pp. 26–34, 2016.
[4] I. Bor-yaliniz and H. Yanikomeroglu, “The New Frontier in RAN Heterogeneity ,” no. November, pp. 48–55, 2016.
[5] E. Kalantari, H. Yanikomeroglu, and A. Yongacoglu, “On the Number and 3D Placement of Drone Base Stations in Wireless Cellular Networks,” 2016.
[6] A. Mahmood, M. Q. Usman, K. Shahzad, and N. Saddique, “Evolution of Optimal 3D placement of UAV with Minimum Transmit Power,” vol. 7, no. 1, pp. 13–18, 2019.
[7] D. Communications, “Connection Steering Mechanism between Mobile Networks for reliable UAV ’ s IoT Platform,” 2017.
[8] S. A. W. Shah, T. Khattab, M. Z. Shakir, and M. O. Hasna, “A Distributed Approach for Networked Flying Platform Association with Small Cells in 5G + Networks.”
[9] L. Sboui, S. Member, and H. Ghazzai, “Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems,” vol. 5, 2017.
[10] K. Gomez et al., “Aerial Base Stations with Opportunistic Links for Next Generation Emergency Communications,” no. April, pp. 31–39, 2016.
[11] P. L. Mehta and R. Prasad, “Aerial-Heterogeneous Network : A Case Study Analysis on the Network Performance Under Heavy User,” 2017.
[12] J. Lu et al., “Beyond Empirical Models : Pattern Formation Driven Placement of UAV Base Stations,” pp. 1–30.
[13] P. Taylor, M. Yao, and M. Zhao, “Intelligent Automation & Soft Computing Cooperative Attack Strategy of Unmanned Aerial Vehicles in Adversarial Environment,” no. April 2014, pp. 37–41, 2013.
[14] A. Zolich, A. Sægrov, and V. Erlend, “Coordinated maritime missions of unmanned vehicles – network architecture and performance analysis,” 2017.
Cite This Article
  • APA Style

    Asad Mahmood, Saad Salman Khan, Muhammad Qamar Usman, Shahzada Zamin Abbas Khan, Muhammad Salman Sarfaraz, et al. (2019). Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss. International Journal of Wireless Communications and Mobile Computing, 7(1), 27-31. https://doi.org/10.11648/j.wcmc.20190701.14

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    ACS Style

    Asad Mahmood; Saad Salman Khan; Muhammad Qamar Usman; Shahzada Zamin Abbas Khan; Muhammad Salman Sarfaraz, et al. Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss. Int. J. Wirel. Commun. Mobile Comput. 2019, 7(1), 27-31. doi: 10.11648/j.wcmc.20190701.14

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    AMA Style

    Asad Mahmood, Saad Salman Khan, Muhammad Qamar Usman, Shahzada Zamin Abbas Khan, Muhammad Salman Sarfaraz, et al. Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss. Int J Wirel Commun Mobile Comput. 2019;7(1):27-31. doi: 10.11648/j.wcmc.20190701.14

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  • @article{10.11648/j.wcmc.20190701.14,
      author = {Asad Mahmood and Saad Salman Khan and Muhammad Qamar Usman and Shahzada Zamin Abbas Khan and Muhammad Salman Sarfaraz and Khurram Shahzad and Nayab Saddique},
      title = {Optimal Placement of UAV for Coverage Maximization with Minimum Path Loss},
      journal = {International Journal of Wireless Communications and Mobile Computing},
      volume = {7},
      number = {1},
      pages = {27-31},
      doi = {10.11648/j.wcmc.20190701.14},
      url = {https://doi.org/10.11648/j.wcmc.20190701.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.wcmc.20190701.14},
      abstract = {Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it is considered in this work. The paper explores diverse sort of wireless backhauls that delivers unlike data rates, and their impact on the served users. We present a dual model network0centric’s and user0centric’s and the optimum 3 dimensional assignment of a UAV is calculated for each model. We then maximized the quantity of attended consumers and sum rates for both models. Furthermore it is preferred to lessen the UAV movements which results in increasing flying time & decreases channel variants and the performance of the network is analyzed in correspondence to the user’s translations.},
     year = {2019}
    }
    

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    AB  - Unmanned Aerial Vehicle (UAV) act as a flying Base Station (BS) is ascertained an auspicious way to cater the problems of system coverage and capacity. There are some constraints that must be considered to set out a UAV in place of a Base Station (BS). The accessibility of a reliable wireless backhaul link is one of the aforementioned limits and it is considered in this work. The paper explores diverse sort of wireless backhauls that delivers unlike data rates, and their impact on the served users. We present a dual model network0centric’s and user0centric’s and the optimum 3 dimensional assignment of a UAV is calculated for each model. We then maximized the quantity of attended consumers and sum rates for both models. Furthermore it is preferred to lessen the UAV movements which results in increasing flying time & decreases channel variants and the performance of the network is analyzed in correspondence to the user’s translations.
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Author Information
  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical and Computer Engineering, Comsats University Islamabad, Islamabad, Pakistan

  • Department of Electrical Engineering, Capital University of Science and Technology, Islamabad, Pakistan

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