Cover
Vol. 20 No. 1 (2024)

Published: June 30, 2024

Pages: 160-169

Original Article

On the Performance of Wireless-Powered NOMA Communication Networks

Noor K. Breesam 1 Walid A. Al-Hussaibi Falah H. Ali 2
1Dept. of Electrical Engineering Techniques, BETC, Southern Technical University, Basrah, 42001, Iraq
2Communications Research Group, University of Sussex, Brighton, BN19QT, UK
History
  • Received: May 1, 2023
  • Revised: June 29, 2023
  • Accepted: June 29, 2023
  • Available Online: January 31, 2024
DOI

https://doi.org/10.37917/ijeee.20.1.16

Abstract

In different modern and future wireless communication networks, a large number of low-power user equipment (UE) devices like Internet of Things, sensor terminals, and smart modules have to be supported over constrained power and bandwidth resources. Therefore, wireless-powered communication (WPC) is considered a promising technology for varied applications in which the energy harvesting (EH) from radio frequency radiations is exploited for data transmission. This requires efficient resource allocation schemes to optimize the performance of WPC and prolong the network lifetime. In this paper, harvest-then-transmit-based WP non-orthogonal multiple access (WP-NOMA) system is designed with time-split (TS) and power control (PC) allocation strategies. To evaluate the network performance, the sum rate and UEs’ rates expressions are derived considering power-domain NOMA with successive interference cancellation detection. For comparison purposes, the rate performance of the conventional WP orthogonal multiple access (WP-OMA) is derived also considering orthogonal frequency-division multiple access and time-division multiple access schemes. Intensive investigations are conducted to obtain the best TS and PC resource parameters that enable maximum EH for higher data transmission rates compared with the reference WP-OMA techniques. The achieved outcomes demonstrate the effectiveness of designed resource allocation approaches in terms of the realized sum rate, UE’s rate, rate region, and fairness without distressing the restricted power of far UEs.

Keywords

References

  1. Y. Cheng, K. H. Li, K. C. Teh, S. Luo, and B. Li, “Two- tier noma-based wireless powered communication net- works,” IEEE Systems Journal, vol. 16, no. 3, pp. 4698– 4707, 2021.
  2. G. Femenias, J. Garc´ıa-Morales, and F. Riera-Palou, “Swipt-enhanced cell-free massive mimo networks,” IEEE Transactions on Communications, vol. 69, no. 8, pp. 5593–5607, 2021.
  3. L. Chen, B. Hu, G. Xu, and S. Chen, “Energy-efficient power allocation and splitting for mmwave beamspace mimo-noma with swipt,” IEEE Sensors Journal, vol. 21, no. 14, pp. 16381–16394, 2021.
  4. H. Yang, Y. Ye, X. Chu, and M. Dong, “Resource and power allocation in swipt-enabled device-to-device com- munications based on a nonlinear energy harvesting model,” IEEE Internet of Things Journal, vol. 7, no. 11, pp. 10813–10825, 2020.
  5. N. K. Breesam, W. A. Al-Hussaibi, F. H. Ali, and I. M. Al-Musawi, “Efficient resource allocation for wireless- powered mimo-noma communications,” IEEE Access, vol. 10, pp. 130302–130313, 2022.
  6. W. A. Al-Hussaibi and F. H. Ali, “Efficient user clus- tering, receive antenna selection, and power allocation algorithms for massive mimo-noma systems,” IEEE Ac- cess, vol. 7, pp. 31865–31882, 2019.
  7. J. Hu, K. Yang, G. Wen, and L. Hanzo, “Integrated data and energy communication network: A comprehensive survey,” IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 3169–3219, 2018.
  8. P. D. Diamantoulakis, K. N. Pappi, Z. Ding, and G. K. Karagiannidis, “Wireless-powered communications with non-orthogonal multiple access,” IEEE Transactions on Wireless Communications, vol. 15, no. 12, pp. 8422– 8436, 2016.
  9. S. Kashyap, E. Bj¨ornson, and E. G. Larsson, “On the feasibility of wireless energy transfer using massive an- tenna arrays,” IEEE Transactions on Wireless Communi- cations, vol. 15, no. 5, pp. 3466–3480, 2016.
  10. H. Zhang, M. Feng, K. Long, G. K. Karagiannidis, V. C. Leung, and H. V. Poor, “Energy efficient resource man- agement in swipt enabled heterogeneous networks with noma,” IEEE Transactions on Wireless Communications, vol. 19, no. 2, pp. 835–845, 2019.
  11. P. D. Diamantoulakis and G. K. Karagiannidis, “Maxi- mizing proportional fairness in wireless powered com- munications,” IEEE Wireless Communications Letters, vol. 6, no. 2, pp. 202–205, 2017.
  12. A. Goldsmith, S. A. Jafar, N. Jindal, and S. Vishwanath, “Capacity limits of mimo channels,” IEEE Journal on se- lected areas in Communications, vol. 21, no. 5, pp. 684– 702, 2003.
  13. Y. Gao, H. Vinck, and T. Kaiser, “Massive mimo antenna selection: Switching architectures, capacity bounds, and optimal antenna selection algorithms,” IEEE Transac- tions on signal processing, vol. 66, no. 5, pp. 1346–1360, 2017.
  14. W. A. Al-Hussaibi and F. H. Ali, “A closed-form approx- imation of correlated multiuser mimo ergodic capacity with antenna selection and imperfect channel estimation,” IEEE Transactions on vehicular technology, vol. 67, no. 6, pp. 5515–5519, 2018.
  15. W. A. Al-Hussaibi and F. H. Ali, “Performance- complexity tradeoffs of mimo-noma receivers towards green wireless networks,” in 2019 IEEE 30th annual in- ternational symposium on personal, indoor and mobile radio communications (PIMRC), pp. 1–6, IEEE, 2019.
  16. L. Dai, B. Wang, Z. Ding, Z. Wang, S. Chen, and L. Hanzo, “A survey of non-orthogonal multiple ac- cess for 5g,” IEEE communications surveys & tutorials, vol. 20, no. 3, pp. 2294–2323, 2018.
  17. B. Makki, K. Chitti, A. Behravan, and M.-S. Alouini, “A survey of noma: Current status and open research challenges,” IEEE Open Journal of the Communications Society, vol. 1, pp. 179–189, 2020.
  18. S. R. Islam, N. Avazov, O. A. Dobre, and K.-S. Kwak, “Power-domain non-orthogonal multiple access (noma) in 5g systems: Potentials and challenges,” IEEE Com- munications Surveys & Tutorials, vol. 19, no. 2, pp. 721– 742, 2016.
  19. W. Al-Hussaibi, “Optimal cluster formation and power control for high connectivity wireless mimo-noma appli- cations,” Electronics Letters, vol. 55, no. 20, pp. 1110– 1112, 2019.
  20. I. Al-Musawi, W. Al-Hussaibi, and F. Ali, “Chaos-based physical layer security in noma networks over rician fading channels,” in 2021 IEEE International Confer- ence on Communications Workshops (ICC Workshops), pp. 1–6, IEEE, 2021. 169 | Breesam, Al-Hussaibi & Ali
  21. I. M. Al-Musawi, W. A. Al-Hussaibi, and F. H. Ali, “Efficient secure noma schemes based on chaotic phys- ical layer security for wireless networks,” IEEE Open Journal of the Communications Society, vol. 3, pp. 2425– 2443, 2022.
  22. T. A. Khan, A. Yazdan, and R. W. Heath, “Optimization of power transfer efficiency and energy efficiency for wireless-powered systems with massive mimo,” IEEE Transactions on Wireless Communications, vol. 17, no. 11, pp. 7159–7172, 2018.
  23. D. Xu and Q. Li, “Joint power control and time alloca- tion for wireless powered underlay cognitive radio net- works,” IEEE Wireless Communications Letters, vol. 6, no. 3, pp. 294–297, 2017.
  24. J. Tang, Y. Yu, M. Liu, D. K. So, X. Zhang, Z. Li, and K.- K. Wong, “Joint power allocation and splitting control for swipt-enabled noma systems,” IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 120–133, 2019.
  25. T.-V. Nguyen, V.-D. Nguyen, D. B. da Costa, and B. An, “Hybrid user pairing for spectral and energy effi- ciencies in multiuser miso-noma networks with swipt,” IEEE Transactions on Communications, vol. 68, no. 8, pp. 4874–4890, 2020.
  26. C. Guo, B. Liao, L. Huang, Q. Li, and X. Lin, “Con- vexity of fairness-aware resource allocation in wireless powered communication networks,” IEEE Communica- tions Letters, vol. 20, no. 3, pp. 474–477, 2016.
  27. S. K. Zaidi, S. F. Hasan, and X. Gui, “Evaluating the ergodic rate in swipt-aided hybrid noma,” IEEE Commu- nications Letters, vol. 22, no. 9, pp. 1870–1873, 2018.
  28. Z. Wei, X. Yu, D. W. K. Ng, and R. Schober, “Resource allocation for simultaneous wireless information and power transfer systems: A tutorial overview,” Proceed- ings of the IEEE, vol. 110, no. 1, pp. 127–149, 2021.