Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks

Aymen Omri; Mazen O. Hasna; Muhammad Zeeshan Shakir; Mohammed Shaqfeh

doi:10.1049/iet-com.2018.5834

Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks

Aymen Omri, Mazen O. Hasna, Muhammad Zeeshan Shakir, Mohammed Shaqfeh

School of Computing, Engineering and Physical Sciences

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

205 Downloads (Pure)

Abstract

In this study, the authors present and evaluate the performance of two mode selection schemes for device-to-device (D2D) enabled unmanned aerial vehicle-based wireless networks. The proposed schemes are based on a threshold received signal strength and an average threshold D2D distance to select the D2D mode. The focus of the two schemes is either to enhance the quality of the signal or the connectivity in case of emergency situations. To evaluate the performances of the schemes, they derive the corresponding expressions of the probability of using D2D mode and ergodic capacity. Numerical results show the advantage of the presented schemes in off-loading traffic from aerial platforms and shed lights on the effect of the environment on the performance of D2D enabled aerial networks.

Original language	English
Pages (from-to)	1397-1404
Number of pages	8
Journal	IET Communications
Volume	13
Issue number	10
Early online date	6 Mar 2019
DOIs	https://doi.org/10.1049/iet-com.2018.5834
Publication status	Published - 25 Jun 2019

Keywords

Remotely operated vehicles
Autonomous aerial vehicles
Cellular radio
Probability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1049/iet-com.2018.5834

main_IET_V2Accepted author manuscript, 674 KB

1 Citations
4 Article
1 Chapter
1 Conference contribution

UAV-enabled IoT networks: architecture, opportunities and challenges
Al-Ahmed, S. A., Ahmed, T., Zhu, Y., Malaolu, O. O. & Shakir, M. Z., 12 Dec 2020, (E-pub ahead of print) Wireless Networks and Industrial IoT: Applications, Challenges and Enablers. 2020 ed. Springer Nature Switzerland AG, p. 263-288 26 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Optimized link distribution schemes for ultra reliable and low latent communications in multi-layer airborne networks
Wang, D., Al-Ahmed, S. & Shakir, M. Z., 2 Dec 2019, In: IEEE Transactions on Industrial Informatics. 16, 9, p. 5866-5873 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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1 Citation (Scopus)

180 Downloads (Pure)
3-D placement schemes of multiple UAVs in NFP-based wireless networks
Omri, A., Hasna, M. O., Shakir, M. Z. & Shaqfeh, M., 7 Dec 2018, 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM). 2018 ed. Sendai, Japan: IEEE, 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
2 Citations (Scopus)

215 Downloads (Pure)

Muhammad Zeeshan Shakir
- School of Computing, Engineering and Physical Sciences - Professor
Person: Academic

Cite this

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title = "Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks",

abstract = "In this study, the authors present and evaluate the performance of two mode selection schemes for device-to-device (D2D) enabled unmanned aerial vehicle-based wireless networks. The proposed schemes are based on a threshold received signal strength and an average threshold D2D distance to select the D2D mode. The focus of the two schemes is either to enhance the quality of the signal or the connectivity in case of emergency situations. To evaluate the performances of the schemes, they derive the corresponding expressions of the probability of using D2D mode and ergodic capacity. Numerical results show the advantage of the presented schemes in off-loading traffic from aerial platforms and shed lights on the effect of the environment on the performance of D2D enabled aerial networks.",

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KW - Cellular radio

KW - Probability

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Mode selection schemes for D2D enabled unmanned aerial vehicle-based wireless networks

Abstract

Keywords

UN SDGs

Access to Document

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Research output

UAV-enabled IoT networks: architecture, opportunities and challenges

Optimized link distribution schemes for ultra reliable and low latent communications in multi-layer airborne networks

3-D placement schemes of multiple UAVs in NFP-based wireless networks

Profiles

Muhammad Zeeshan Shakir

Cite this