Outage Probability Analysis of Wireless Energy Harvesting-Assisted Networks Considering Dual Energy-Data Channel Models

Poursheikhali, S.

doi:10.22044/rera.2022.11848.1119

Document Type : Original Article

Author

S. Poursheikhali

Chabahar Maritime University, Chabahar, Iran.

https://doi.org/10.22044/rera.2022.11848.1119

Abstract

In this paper, an energy harvesting assisted wireless network is considered where a source, contrary to the conventional networks, harvests its required energy via two independent energy channels. In addition, we assume a destination terminal, which receives interference signals along with the data transferred by the source. In this model, the source is considered to scavenge energy from the destination's broadcasted signal and ambient interference signal. We model the energy and data channels via Rayleigh-Racian channel model. Then, the system outage probability is obtained after analyzing the outage probability of energy and data channels. Moreover, another scenario in which the source is assumed to harvest energy from only the destination terminal is investigated. Computer simulations are conducted to evaluate the effectiveness of the proposed approach, and the impacts of different system parameters on the system outage probability are investigated. The results indicate the outperformance of the scenario in which energy harvests via two channels compared to the case where only one energy harvesting channel exists. In addition, the overall system outage highly degrades when outage in energy channels decreases, especially in the first scenario.

Keywords

Main Subjects

Electricity Generation by Green Energy Sources

References

[1] Bi S., Ho, C. K., and Zhang, R. (2015). Wireless powered communication: opportunities and challenges, IEEE Communications Magazine, Vol. 53, No. 4, pp. 117–125.

[2] Niyato, D., Kim, D. I. Maso, M., and Han, Z. (2017). Wireless Powered Communication Networks: Research Directions and Technological Approaches. IEEE Wireless Communications, Vol. 24, No. 6, pp. 88-97.

[3] Bi, S., Zeng, Y., and Zhang, R. (2016). Wireless powered communication networks: An overview. IEEE Wireless Communications, Vol. 23, no. 2, pp. 10–18.

[4] Ju, H. and Zhang, R. (2013). Throughput Maximization in Wireless Powered Communication Networks. In IEEE Transactions on Wireless Communications, Vol. 13, No. 1, pp. 418-428.

[5] Deepan N. and Rebekka, B. (2019). On the performance of wireless powered communication networks over generalized κ-µ fading channels. Physical Communication, Vol. 36, p. 100759.

[6] Ju, H. and Zhang, R. (2014). User cooperation in wireless powered communication networks. 2014 IEEE Global Communications Conference, Austin, TX, pp. 1430-1435.

[7] Zhong, C., Chen, X., Zhang, Z., and Karagiannidis, G. K. (2015). Wireless-Powered Communications: Performance Analysis and Optimization. In IEEE Transactions on Communications, Vol. 63, No. 12, pp. 5178-5190.

[8] Masood, Z., Jung, S. P., and Choi, Y. (2018). Energy-Efficiency Performance Analysis and Maximization Using Wireless Energy Harvesting in Wireless Sensor Networks. Energies, Vol. 11, No. 11, p. 2917.

[9] Tan, N. Nguyen, T. H. Q. Minh, P. Tran, T., and Miroslav Voznak. (2018). Energy Harvesting over Rician Fading Channel: A Performance Analysis for Half-Duplex Bidirectional Sensor Networks under Hardware Impairments. Sensors, Vol. 18, No. 6, p. 1781.

[10] Van-Duc, P., Nguyen, T. N., Tran, M., Trang, T. T., Voznak, M., Ha, D. H., and Nguyen, T. L. (2019). Power Beacon-Assisted Energy Harvesting in a Half-Duplex Communication Network under Co-Channel Interference over a Rayleigh Fading Environment: Energy Efficiency and Outage Probability Analysis. Energies, Vol. 12, No. 13, p. 2579.

[11] Huang, C., Zhou, S., Xu, J., Niu Z., Zhang, R., and Cui, S. Energy harvesting wireless communications. John Wiley and Sons, 2018.

[12] Chen, Z., Cai, L. X., Cheng, Y., and Shan, H. (2017). Sustainable cooperative communication in wireless powered networks with energy harvesting relay, IEEE Transactions on Wireless Communications, Vol. 16, No. 12, pp. 8175–8189.

[13] Zhou, X., Ho, C. K., and Zhang, R. (2016). Wireless power meets energy harvesting: a joint energy allocation approach in OFDM-based system. IEEE Transactions on Wireless Communications, Vol. 15, No. 5, pp. 3481–3491.

[14] Veilleux, S., Bundy, K., Almaghasilah, A., and Abedi, A. (2018). Transmission scheduling for wireless energy transfer with dual data-energy channel models. In 2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), Huntsville, AL, USA, pp. 30–35.

[15] Naderi, S., Khosroazad, S., and Abedi, A. (2022). Relay-Assisted Wireless Energy Transfer for Efficient Spectrum Sharing in Harsh Environments. International Journal of Wireless Information Networks, pp. 1-10.

[16] Gradshteyn, I. S. and Ryzhik, I. M., Table of integrals, series, and products, 8th ed. Academic Press, Elsevier Inc., 2014.

Renewable Energy Research and Applications

Outage Probability Analysis of Wireless Energy Harvesting-Assisted Networks Considering Dual Energy-Data Channel Models

References

References

Volume 4, Issue 1
January 2023
Pages 79-85

Outage Probability Analysis of Wireless Energy Harvesting-Assisted Networks Considering Dual Energy-Data Channel Models

References

References

Volume 4, Issue 1January 2023Pages 79-85

Volume 4, Issue 1
January 2023
Pages 79-85