Evolution of Optimal 3D placement of UAV with Minimum Transmit Power

Asad Mahmood; Muhammad Qamar Usman; Khurram Shahzad; Nayab Saddique

doi:doi:10.11648/j.wcmc.20190701.12

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Evolution of Optimal 3D placement of UAV with Minimum Transmit Power

Asad Mahmood, Muhammad Qamar Usman, Khurram Shahzad, Nayab Saddique

Published in International Journal of Wireless Communications and Mobile Computing (Volume 7, Issue 1)

Received: 3 February 2019 Accepted: 8 March 2019 Published: 29 March 2019

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Abstract

Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.

Published in	International Journal of Wireless Communications and Mobile Computing (Volume 7, Issue 1)
DOI	10.11648/j.wcmc.20190701.12
Page(s)	13-18
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), 2019. Published by Science Publishing Group

Keywords

Optimal Placement, Path Loss, NOMAD, Minimum Transmitted Power

References

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[2]	M. Mozaffari, W. Saad, and M. Bennis, “Wireless Communication using Unmanned Aerial Vehicles ( UAVs ): Optimal Transport Theory for Hover Time Optimization,” pp. 1–30.
[3]	E. Kalantari, I. Bor-yaliniz, A. Yongacoglu, and H. Yanikomeroglu, “User Association and Bandwidth Allocation for Terrestrial and Aerial Base Stations with Backhaul Considerations.”
[4]	M. Mozaffari, S. Member, W. Saad, and S. Member, “Unmanned Aerial Vehicle with Underlaid Device-to-Device Communications : Performance and Tradeoffs,” pp. 1–32.
[5]	M. Mozaffari, W. Saad, and M. Bennis, “Unmanned Aerial Vehicle with Underlaid Device-to-Device Communications : Performance and Tradeoffs,” vol. 1276, no. c, pp. 1–14, 2016.
[6]	J. Xu, Y. Zeng, and R. Zhang, “UAV-Enabled Wireless Power Transfer : Trajectory Design and Energy Region Characterization.”
[7]	M. M. Azari, F. Rosas, K. Chen, and S. Pollin, “Ultra Reliable UAV Communication Using Altitude and Cooperation Diversity.”
[8]	N. H. Motlagh, M. Bagaa, and T. Taleb, “UAV Selection for a UAV-based Integrative IoT Platform,” 2016.
[9]	A. Kumbhar, S. Singh, and M. Solutions, “UAV Assisted Public Safety Communications with LTE-Advanced HetNets and FeICIC,” pp. 3–8, 2020.
[10]	W. Khawaja, O. Ozdemir, and I. Guvenc, “UAV Air-to-Ground Channel Characterization for mmWave Systems,” no. I.
[11]	Y. Zeng, R. Zhang, and T. J. Lim, “Throughput Maximization for UAV-Enabled,” vol. 64, no. 12, pp. 4983–4996, 2016.
[12]	P. Milano and D. G. Cileo, “Politecnico di Milano School of Industrial and Information Engineering,” 2017.
[13]	K. E. Ave, K. E. Ave, and K. E. Ave, “Theoretical Analysis of the Target Detection Rules for the UAV-based Wireless Sensor Networks,” 2017.
[14]	X. Lin et al., “The Sky Is Not the Limit : LTE for Unmanned Aerial Vehicles,” pp. 1–7, 2017.
[15]	M. Narang, S. Xiang, W. Liu, J. Gutierrez, and L. Chiaraviglio, “UAV-assisted Edge Infrastructure for Challenged Networks.”
[16]	V. Sharma, M. Bennis, and R. Kumar, “UAV-Assisted Heterogeneous Networks for Capacity Enhancement,” pp. 1–4.
[17]	R. Zhang, “Wireless Communications with Unmanned Aerial Vehicles : Opportunities and Challenges.”

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APA Style

Asad Mahmood, Muhammad Qamar Usman, Khurram Shahzad, Nayab Saddique. (2019). Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. International Journal of Wireless Communications and Mobile Computing, 7(1), 13-18. https://doi.org/10.11648/j.wcmc.20190701.12

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ACS Style

Asad Mahmood; Muhammad Qamar Usman; Khurram Shahzad; Nayab Saddique. Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. Int. J. Wirel. Commun. Mobile Comput. 2019, 7(1), 13-18. doi: 10.11648/j.wcmc.20190701.12

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AMA Style

Asad Mahmood, Muhammad Qamar Usman, Khurram Shahzad, Nayab Saddique. Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. Int J Wirel Commun Mobile Comput. 2019;7(1):13-18. doi: 10.11648/j.wcmc.20190701.12

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@article{10.11648/j.wcmc.20190701.12,
  author = {Asad Mahmood and Muhammad Qamar Usman and Khurram Shahzad and Nayab Saddique},
  title = {Evolution of Optimal 3D placement of UAV with Minimum Transmit Power},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {7},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.wcmc.20190701.12},
  url = {https://doi.org/10.11648/j.wcmc.20190701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20190701.12},
  abstract = {Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.},
 year = {2019}
}

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TY  - JOUR
T1  - Evolution of Optimal 3D placement of UAV with Minimum Transmit Power
AU  - Asad Mahmood
AU  - Muhammad Qamar Usman
AU  - Khurram Shahzad
AU  - Nayab Saddique
Y1  - 2019/03/29
PY  - 2019
N1  - https://doi.org/10.11648/j.wcmc.20190701.12
DO  - 10.11648/j.wcmc.20190701.12
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20190701.12
AB  - Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.
VL  - 7
IS  - 1
ER  -

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Author Information

Asad Mahmood

Department of Electrical and Computer Engineering, Comsat University Islamabad, Wah Cantt, Pakistan
Muhammad Qamar Usman

Department of Electrical and Computer Engineering, Comsat University Islamabad, Wah Cantt, Pakistan
Khurram Shahzad

Department of Electrical and Computer Engineering, Comsat University Islamabad, Wah Cantt, Pakistan
Nayab Saddique

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

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APA Style

Asad Mahmood, Muhammad Qamar Usman, Khurram Shahzad, Nayab Saddique. (2019). Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. International Journal of Wireless Communications and Mobile Computing, 7(1), 13-18. https://doi.org/10.11648/j.wcmc.20190701.12

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ACS Style

Asad Mahmood; Muhammad Qamar Usman; Khurram Shahzad; Nayab Saddique. Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. Int. J. Wirel. Commun. Mobile Comput. 2019, 7(1), 13-18. doi: 10.11648/j.wcmc.20190701.12

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AMA Style

Asad Mahmood, Muhammad Qamar Usman, Khurram Shahzad, Nayab Saddique. Evolution of Optimal 3D placement of UAV with Minimum Transmit Power. Int J Wirel Commun Mobile Comput. 2019;7(1):13-18. doi: 10.11648/j.wcmc.20190701.12

Copy | Download

@article{10.11648/j.wcmc.20190701.12,
  author = {Asad Mahmood and Muhammad Qamar Usman and Khurram Shahzad and Nayab Saddique},
  title = {Evolution of Optimal 3D placement of UAV with Minimum Transmit Power},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {7},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.wcmc.20190701.12},
  url = {https://doi.org/10.11648/j.wcmc.20190701.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20190701.12},
  abstract = {Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.},
 year = {2019}
}

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TY  - JOUR
T1  - Evolution of Optimal 3D placement of UAV with Minimum Transmit Power
AU  - Asad Mahmood
AU  - Muhammad Qamar Usman
AU  - Khurram Shahzad
AU  - Nayab Saddique
Y1  - 2019/03/29
PY  - 2019
N1  - https://doi.org/10.11648/j.wcmc.20190701.12
DO  - 10.11648/j.wcmc.20190701.12
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20190701.12
AB  - Due to vast technology advancement in communication System, it has been possible to use unmanned aerial vehicle (UAV) that can fly independently and worked remotely without carrying any human personnel. UAV provides new methods for communication in military and civilian application. They have small operating and installation cost. They provide flexible way for communication. Unmanned aerial vehicle can be used as Wireless base station in cellular system providing an alternative communication mechanism for cellular communication in any disaster or emergency situation when existing terrestrial network goes down. However besides these several advantages UAVs has many Unique design challenges for both indoor and outdoor users. Energy limitation is one of the major challenges as each UAV has limited battery source so due to limited battery time completing the task in minimum Hover time is another challenge. Another major challenge is Optimal UAVs placement in such a way that Sum data rate of all the users is maximized. this paper investigate the problem of Optimal UAVs placement and minimum transmit power through which better signal to noise ratio is achieved for indoor users, first proved our problem is mixed integer non- linear problem and our objective function is convex and use Genetic algorithm and Nomad to solve our problem, Through Numerical result conclude that optimal placement of UAVs is achieved with minimum path loss and minimum transmit power required to cover indoor user.
VL  - 7
IS  - 1
ER  -

Copy | Download