Throughput Maximization for Multi-Slot Data Transmission via Two-Hop DF SWIPT-Based UAV Systems

Document Type : Research Article

Authors

Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

In this paper, an Unmanned Aerial Vehicle (UAV) assisted cooperative communication system is studied, wherein a source transmits information to the destination through an energy harvesting decode-and-forward UAV. It is assumed that the UAV can freely move in between the source-destination pair to set up line of sight communications with both nodes. Since the battery of the UAV may be limited, it can harvest energy from the received signal by power splitting technique to be able to perfectly transmit data to the destination. Therefore, we study throughput maximization problem for multiple time slots data transmission through the cooperative energy harvesting UAV.  To maximize the throughput, optimal power allocation at the source and the UAV and power splitting ratio at the UAV are studied over each time slot in presence of energy-causality constraints at the UAV. Finally, numerical results are presented to analyze the spectral and energy efficiency of the proposed system, and effects of optimal power allocations and power splitting ratio.  The results indicate that by utilizing optimal resource allocations at the source and the UAV, and utilizing Simultaneous Wireless Information and Power Transfer (SWIPT), significant throughput improvement is achieved compared to those without optimal resource allocation or SWIPT. All of static UAV scenarios (i.e., the maximum throughput between the source and the destination) increases, while there is no need to increase the battery capacity of the UAV.

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References

[1] L. Gupta, R. Jain, and G. Vaszkun, “Survey of important issues in UAV communication networks,” IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 1123–1152, 2016.
 [2] M. Mozaffari, W. Saad, M. Bennis, Y.-H. Nam, and M. Debbah, “A tutorial on UAVs for wireless networks: Applications, challenges, and open problems,” arXiv preprint arXiv:1803.00680, 2018.
[3] R. Austin, Unmanned aircraft systems: UAVs design, development and deployment, vol. 54. John Wiley & Sons, 2011.
[4] M. Alzenad, A. El-Keyi, F. Lagum, and H. Yanikomeroglu, “3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage,” IEEE Wireless Communications Letters, vol. 6, no. 4, pp. 434–437, 2017.
[5] J. Lyu, Y. Zeng, R. Zhang, and T. J. Lim, “Placement optimization of UAV-mounted mobile base stations,” IEEE Communications Letters, vol. 21, no. 3, pp. 604–607, 2017.
[6] J. Lyu, Y. Zeng, and R. Zhang, “Cyclical multiple access in UAV-aided communications: A throughput-delay trade-off,” IEEE Wireless Communications Letters, vol. 5, no. 6, pp. 600–603, 2016.
[7] Y. Zeng, R. Zhang, and T. J. Lim, “Wireless communications with unmanned aerial vehicles: Opportunities and challenges,” IEEE Communications Magazine, vol. 54, no. 5, pp. 36–42, 2016.
[8] A. Fotouhi, H. Qiang, M. Ding, M. Hassan, L. G. Giordano, A. Garcia-Rodriguez, and J. Yuan, “Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges,” IEEE Communications Surveys & Tutorials, 2019.
[9] Y. Zeng, R. Zhang, and T. J. Lim, “Throughput maximization for UAV-enabled mobile relaying systems,” IEEE Transactions on Communications, vol. 64, no. 12, pp. 4983–4996, 2016.
[10] X. Jiang, Z. Wu, Z. Yin, and Z. Yang, “Power and trajectory optimization for UAV-enabled amplify-and-forward relay networks,” IEEE Access, vol. 6, pp. 48688–48696, 2018.
[11] S. Hu, J. Flordelis, F. Rusek, and O. Edfors, “Unmanned aerial vehicle assisted cellular communication,” arXiv preprint arXiv:1803.05763, 2018.
[12] H. Shakhatreh, A. Sawalmeh, A. Al-Fuqaha, Z. Dou, E. Almaita, I. Khalil, N. S. Othman, A. Khreishah, and M. Guizani, “Unmanned aerial vehicles: A survey on civil applications and key research challenges,” arXiv preprint arXiv:1805.00881, 2018.
[13] S. Yin, J. Tan, and L. Li, “UAV-assisted cooperative communications with wireless information and power transfer,” arXiv preprint arXiv:1710.00174, 2017.
[14] S. Yin, Y. Zhao, and L. Li, “UAV-assisted cooperative communications with time-sharing SWIPT,” in 2018 IEEE International Conference on Communications (ICC), pp. 1–6, IEEE, 2018.
[15] Y. Zeng and R. Zhang, “Energy-efficient UAV communication with trajectory optimization,” IEEE Transactions on Wireless Communications, vol. 16, no. 6, pp. 3747–3760, 2017.
[16] J. Zhang, Y. Zeng, and R. Zhang, “Spectrum and energy efficiency maximization in UAV-enabled mobile relaying,” in 2017 IEEE International Conference on Communications (ICC), pp. 1–6, IEEE, 2017.
[17] Z. Yang, N. Huang, x. Hao, Y. Pan, Y. Li, and M. Chen, “Downlink resource allocation and power control for device-to device communication underlaying cellular networks,” IEEE Communications Letters, vol. 20, pp. 1–1, 05 2016.
[18] G. Zhang, Q. Wu, M. Cui, and R. Zhang, “Securing UAV communications via joint trajectory and power control,” IEEE Transactions on Wireless Communications, 2019.
[19] X. Hong, P. Liu, F. Zhou, S. Guo, and Z. Chu, “Resource allocation for secure UAV-assisted SWIPT systems,” IEEE Access, 2019.
[20] A. El Gamal and Y.-H. Kim, Network information theory. Cambridge university press, 2011.
[21] A. A. Nasir, X. Zhou, S. Durrani, and R. A. Kennedy, “Relaying protocols for wireless energy harvesting and information processing,” IEEE Transactions on Wireless Communications, vol. 12, no. 7, pp. 3622–3636, 2013.
[22] S. Boyd and L. Vandenberghe, Convex optimization. Cambridge university press, 2004. [23] M. Grant and S. Boyd, “CVX: Matlab software for disciplined convex programming, version 2.1,” 2014.
AUT Journal of Electrical Engineering
Volume 54, Issue 1
June 2022
Pages 3-14

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