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Power-time resource allocation for downlink SWIPT-assisted cooperative NOMA systems

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Abstract

We study a downlink cooperative non-orthogonal multiple access (NOMA) system in which a base station (BS) serves two paired users on the same frequency band simultaneously, and the near user acts as an energy-constrained relay for the far user since there is no direct link between the BS and the far user due to physical obstacles or heavy shadowing. To replenish energy of the near user for relaying, we enable the near user to harvest energy from BS signals by adopting the simultaneous wireless information and power transfer (SWIPT) technique. Different from the linear energy harvesting (EH) model used in most of the existing literature, we adopt a non-linear model for EH. By considering the non-linear features of the practical circuits, we aim to minimize the BS energy consumption while ensuring the minimum required transmission rate of both users. Since the formulated problem contains coupled power and time resource variables, it is challenging to solve it directly. Thus, we propose an optimal power-time resource allocation algorithm by decoupling the variables properly. Simulation results verify the theoretical analysis and show the performance of the considered system.

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References

  1. Zhang L, Liang Y C, Niyato D. 6G visions: mobile ultra-broadband, super Internet-of-Things, and artificial intelligence. China Commun, 2019, 16: 1–14

    Google Scholar 

  2. Guo F, Yu F R, Zhang H, et al. Enabling massive IoT toward 6G: a comprehensive survey. IEEE Int Things J, 2021, 8: 11891–11915

    Article  Google Scholar 

  3. Lin J, Yu W, Zhang N, et al. A survey on Internet of Things: architecture, enabling technologies, security and privacy, and applications. IEEE Int Things J, 2017, 4: 1125–1142

    Article  Google Scholar 

  4. Dawy Z, Saad W, Ghosh A, et al. Toward massive machine type cellular communications. IEEE Wirel Commun, 2017, 24: 120–128

    Article  Google Scholar 

  5. Zhai D, Zhang R, Cai L, et al. Energy-efficient user scheduling and power allocation for NOMA-based wireless networks with massive IoT devices. IEEE Int Things J, 2018, 5: 1857–1868

    Article  Google Scholar 

  6. Jiao J, Liao S Y, Sun Y Y, et al. Fairness-improved and QoS-guaranteed resource allocation for NOMA-based S-IoT network. Sci China Inf Sci, 2021, 64: 169306

    Article  MathSciNet  Google Scholar 

  7. Kim J B, Lee I H. Non-orthogonal multiple access in coordinated direct and relay transmission. IEEE Commun Lett, 2015, 19: 2037–2040

    Article  Google Scholar 

  8. Pang X W, Tang J, Zhao N, et al. Energy-efficient design for mmWave-enabled NOMA-UAV networks. Sci China Inf Sci, 2021, 64: 140303

    Article  MathSciNet  Google Scholar 

  9. Li Y, Li Y, Chu X, et al. Performance analysis of relay selection in cooperative NOMA networks. IEEE Commun Lett, 2019, 23: 760–763

    Article  Google Scholar 

  10. Zhang Z Q, Ma Z, Xiao M, et al. Full-duplex device-to-device aided cooperative non-orthogonal multiple access. IEEE Trans Veh Technol, 2017, 66: 4467–4471

    Google Scholar 

  11. Zhang L, Liu J, Xiao M, et al. Performance analysis and optimization in downlink NOMA systems with cooperative full-duplex relaying. IEEE J Sel Areas Commun, 2017, 35: 2398–2412

    Article  Google Scholar 

  12. Liu Y, Ding Z, Elkashlan M, et al. Cooperative non-orthogonal multiple access with simultaneous wireless information and power transfer. IEEE J Sel Areas Commun, 2016, 34: 938–953

    Article  Google Scholar 

  13. Liu M J, Feng G, Zhuang W H. Energy-efficient URLLC service provisioning in softwarization-based networks. Sci China Inf Sci, 2021, 64: 182302

    Article  MathSciNet  Google Scholar 

  14. Yuan Y, Xu Y, Yang Z, et al. Energy efficiency optimization in full-duplex user-aided cooperative SWIPT NOMA systems. IEEE Trans Commun, 2019, 67: 5753–5767

    Article  Google Scholar 

  15. Li G, Mishra D, Hu Y, et al. Optimal designs for relay-assisted NOMA networks with hybrid SWIPT scheme. IEEE Trans Commun, 2020, 68: 3588–3601

    Article  Google Scholar 

  16. Wang W, Tang J, Zhao N, et al. Joint precoding optimization for secure SWIPT in UAV-aided NOMA networks. IEEE Trans Commun, 2020, 68: 5028–5040

    Article  Google Scholar 

  17. Nasir A A, Zhou X, Durrani S, et al. Relaying protocols for wireless energy harvesting and information processing. IEEE Trans Wirel Commun, 2013, 12: 3622–3636

    Article  Google Scholar 

  18. Atapattu S, Evans J. Optimal energy harvesting protocols for wireless relay networks. IEEE Trans Wirel Commun, 2016, 15: 5789–5803

    Article  Google Scholar 

  19. Alevizos P N, Bletsas A. Sensitive and nonlinear far-field RF energy harvesting in wireless communications. IEEE Trans Wirel Commun, 2018, 17: 3670–3685

    Article  Google Scholar 

  20. Hakimi A, Mohammadi M, Mobini Z, et al. Full-duplex non-orthogonal multiple access cooperative spectrum-sharing networks with non-linear energy harvesting. IEEE Trans Veh Technol, 2020, 69: 10925–10936

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Young Talent Support Project of China Association for Science and Technology (CAST).

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Correspondence to Lin Zhang.

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Liu, C., Zhang, L., Chen, Z. et al. Power-time resource allocation for downlink SWIPT-assisted cooperative NOMA systems. Sci. China Inf. Sci. 66, 152303 (2023). https://doi.org/10.1007/s11432-021-3495-y

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  • DOI: https://doi.org/10.1007/s11432-021-3495-y

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