Skip to main content
SpringerLink
Log in

Energy-efficient trajectory planning and resource allocation in UAV communication networks under imperfect channel prediction

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

In unmanned aerial vehicle (UAV) communication networks, trajectory planning and resource allocation (TPRA) under channel prediction obtains great attention due to its significant energy-saving of UAVs and user quality of service (QoS) gains. These potentials are primarily demonstrated under the assumption of perfect channel prediction. However, due to the rapid-varying features of air-to-ground channels, it is difficult to avoid the random channel prediction error (CPE), which may deteriorate the performance of TPRA. In this paper, we investigate the problem of energy-efficient TPRA considering random CPE. The problem is formulated as a mixed-integer non-convex optimization with chance constraints, which ensures that QoS is robust to random CPE. To solve it, we first transform the chance constraints into deterministic forms, which are further proved to be convex constraints by using the characteristic of quasiconvex functions. Then, we design a modified successive convex approximation algorithm to iteratively achieve the optimal solution. To cater to the high-speed movement of UAVs, a low-complexity heuristic online algorithm is tailored. Specifically, we first relax the QoS constraints to find a feasible initial point and iteratively tighten the lower bound of QoS constraints to obtain a suboptimal solution. Simulation results show that the proposed algorithm can improve energy efficiency compared with the algorithm without prediction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Zeng Y, Wu Q, Zhang R. Accessing from the sky: a tutorial on UAV communications for 5G and beyond. Proc IEEE, 2019, 107: 2327–2375

    Article  Google Scholar 

  2. Gupta L, Jain R, Vaszkun G. Survey of important issues in UAV communication networks. IEEE Commun Surv Tut, 2016, 18: 1123–1152

    Article  Google Scholar 

  3. Zhao N, Lu W, Sheng M, et al. UAV-assisted emergency networks in disasters. IEEE Wireless Commun, 2019, 26: 45–51

    Article  Google Scholar 

  4. Song Q H, Zeng Y, Xu J, et al. A survey of prototype and experiment for UAV communications. Sci China Inf Sci, 2021, 64: 140301

    Article  Google Scholar 

  5. Love D J, Heath R W, Lau V K N, et al. An overview of limited feedback in wireless communication systems. IEEE J Sel Areas Commun, 2008, 26: 1341–1365

    Article  Google Scholar 

  6. Jia Z, Sheng M, Li J, et al. LEO-satellite-assisted UAV: joint trajectory and data collection for internet of remote things in 6G aerial access networks. IEEE Internet Things J, 2021, 8: 9814–9826

    Article  Google Scholar 

  7. Zeng Y, Zhang R. Energy-efficient UAV communication with trajectory optimization. IEEE Trans Wireless Commun, 2017, 16: 3747–3760

    Article  Google Scholar 

  8. Yan S, Peng M, Cao X. A game theory approach for joint access selection and resource allocation in UAV assisted IoT communication networks. IEEE Internet Things J, 2019, 6: 1663–1674

    Article  Google Scholar 

  9. Cui F, Cai Y, Qin Z, et al. Multiple access for mobile-UAV enabled networks: joint trajectory design and resource allocation. IEEE Trans Commun, 2019, 67: 4980–4994

    Article  Google Scholar 

  10. Zeng F, Hu Z, Xiao Z, et al. Resource allocation and trajectory optimization for QoE provisioning in energy-efficient UAV-enabled wireless networks. IEEE Trans Veh Technol, 2020, 69: 7634–7647

    Article  Google Scholar 

  11. Jiang X, Wu Z, Yin Z, et al. Power consumption minimization of UAV relay in NOMA networks. IEEE Wireless Commun Lett, 2020, 9: 666–670

    Article  Google Scholar 

  12. Wang B, Sun Y, Zhao N, et al. Learn to coloring: fast response to perturbation in UAV-assisted disaster relief networks. IEEE Trans Veh Technol, 2020, 69: 3505–3509

    Article  Google Scholar 

  13. Wang B, Sun Y, Duong T Q, et al. Popular matching for security-enhanced resource allocation in social Internet of flying things. IEEE Trans Commun, 2020, 68: 5087–5101

    Article  Google Scholar 

  14. Lu W D, Si P Y, Lu F W, et al. Resource and trajectory optimization in UAV-powered wireless communication system. Sci China Inf Sci, 2021, 64: 140304

    Article  MathSciNet  Google Scholar 

  15. Ladosz P, Oh H, Zheng G, et al. Gaussian process based channel prediction for communication-relay UAV in urban environments. IEEE Trans Aerosp Electron Syst, 2020, 56: 313–325

    Article  Google Scholar 

  16. Zhong X, Guo Y, Li N, et al. Deployment optimization of UAV relay for malfunctioning base station: model-free approaches. IEEE Trans Veh Technol, 2019, 68: 11971–11984

    Article  Google Scholar 

  17. Sun Y, Xu D, Ng D W K, et al. Optimal 3D-trajectory design and resource allocation for solar-powered UAV communication systems. IEEE Trans Commun, 2019, 67: 4281–4298

    Article  Google Scholar 

  18. Vaezpour E, Dehghan M, Yousefi’zadeh H. Robust joint user association and resource partitioning in heterogeneous cloud RANs with dual connectivity. Comput Commun, 2019, 138: 1–10

    Article  Google Scholar 

  19. Liu J, Zhang H, Sheng M, et al. High altitude air-to-ground channel modeling for fixed-wing UAV mounted aerial base stations. IEEE Wireless Commun Lett, 2021, 10: 330–334

    Article  Google Scholar 

  20. Zeng Y, Xu J, Zhang R. Energy minimization for wireless communication with rotary-wing UAV. IEEE Trans Wireless Commun, 2019, 18: 2329–2345

    Article  Google Scholar 

  21. Dong F, Li L, Lu Z, et al. Energy-efficiency for fixed-wing UAV-enabled data collection and forwarding. In: Proceedings of IEEE International Conference on Communications Workshops (ICC Workshops), 2019. 1–6

  22. Nemirovski A. On safe tractable approximations of chance constraints. Eur J Oper Res, 2012, 219: 707–718

    Article  MathSciNet  Google Scholar 

  23. Garnier J, Omrane A, Rouchdy Y. Asymptotic formulas for the derivatives of probability functions and their Monte Carlo estimations. Eur J Oper Res, 2009, 198: 848–858

    Article  MathSciNet  Google Scholar 

  24. Geletu A, Klöppel M, Hoffmann A, et al. A tractable approximation of non-convex chance constrained optimization with non-Gaussian uncertainties. Eng Optim, 2015, 47: 495–520

    Article  MathSciNet  Google Scholar 

  25. Shen K, Yu W. Fractional programming for communication systems-Part I: power control and beamforming. IEEE Trans Signal Process, 2018, 66: 2616–2630

    Article  MathSciNet  Google Scholar 

  26. Che E, Tuan H D, Nguyen H H. Joint optimization of cooperative beamforming and relay assignment in multi-user wireless relay networks. IEEE Trans Wireless Commun, 2014, 13: 5481–5495

    Article  Google Scholar 

  27. Li C, Wang J, Zheng F C, et al. Overhearing-based co-operation for two-cell network with asymmetric uplink-downlink traffics. IEEE Trans Signal Inf Process over Networks, 2016, 2: 350–361

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work was supported in part by National Key Research and Development Program of China (Grant No. 2020YFB1807001), National Natural Science Foundation of China (Grant Nos. 62121001, 61725103, 62171344, 61931005), and Young Elite Scientists Sponsorship Program by CAST.

Author information

Authors and Affiliations

  1. State Key Laboratory of ISN, Xidian University, Xi’an, 710071, China

    Min Sheng, Chenxi Zhao, Junyu Liu, Wei Teng, Yanpeng Dai & Jiandong Li

Authors
  1. Min Sheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chenxi Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Junyu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wei Teng
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yanpeng Dai
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jiandong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Chenxi Zhao.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sheng, M., Zhao, C., Liu, J. et al. Energy-efficient trajectory planning and resource allocation in UAV communication networks under imperfect channel prediction. Sci. China Inf. Sci. 65, 222301 (2022). https://doi.org/10.1007/s11432-021-3332-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11432-021-3332-0

Keywords

Search

Navigation