Skip to main content
SpringerLink
Log in

Joint power control and user scheduling for backbone-assisted industrial wireless networks with successive interference cancellation

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

In a backbone-assisted industrial wireless network (BAIWN), the technology of successive interference cancellation (SIC) based non-orthogonal multiple access (NOMA) provides potential solutions for improving the delay performance. Previous work emphasizes minimizing the transmission delay by user scheduling without considering power control. However, power control is beneficial for SIC-based NOMA to exploit the power domain and manage co-channel interference to simultaneously serve multiple user nodes with the high spectral and time resource utilization characteristics. In this paper, we consider joint power control and user scheduling to study the scheduling time minimization problem (STMP) with given traffic demands in BAIWNs. Specifically, STMP is formulated as an integer programming problem, which is NP-hard. To tackle the NP-hard problem, we propose a conflict graph-based greedy algorithm, to obtain a sub-optimal solution with low complexity. As a good feature, the decisions of power control and user scheduling can be made by the proposed algorithm only according to the channel state information and traffic demands. The experimental results show that compared with the other methods, the proposed method effectively improves the delay performance regardless of the channel states or the network scales.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Li, D., Li, X., & Wan, J. (2017). A cloud-assisted handover optimization strategy for mobile nodes in industrial wireless networks. Computer Networks, 128, 133–141.

    Article  Google Scholar 

  2. 5G vision and requirements, IMT-2020 5G Promotion Group, Beijing, China, White Paper, May 2014.

  3. Khanafer, M., Guennoun, M., & Mouftah, H. T. (2014). A survey of beacon-enabled IEEE 802.15.4 MAC protocols in wireless sensor networks. IEEE Communications Surveys & Tutorials, 16(2), 856–876.

    Article  Google Scholar 

  4. Gungor, V. C., & Hancke, G. P. (2009). Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Transactions on Industrial Electronics, 56(10), 4258–4265.

    Article  Google Scholar 

  5. Zhou, W., Das, T., & Chen, L. et al. (2016). BASIC: Backbone-assisted successive interference cancellation. In Proceedings of the 22nd annual international conference on mobile computing and networking (MobiCom) (pp. 149–161). ACM.

  6. Xu, C., Ma, K., & Xu, Y. (2018). Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks. Computer Networks, 133, 120–129.

    Article  Google Scholar 

  7. Kaddour, M. (2016). Optimizing the throughput—lifetime tradeoff in wireless sensor networks with link scheduling, rate adaptation, and power control. Wireless Communications and Mobile Computing, 16(12), 1510–1525.

    Article  Google Scholar 

  8. Anderson, E., Phillips, C., Sicker, D., et al. (2013). Optimization decomposition for scheduling and system configuration in wireless networks. IEEE/ACM Transactions on Networking, 22(1), 271–284.

    Article  Google Scholar 

  9. Alvandi, M., Mehmet-Ali, M., & Hayes, J. F. (2014). Delay optimization and cross-layer design in multihop wireless networks with network coding and successive interference cancelation. IEEE Journal on Selected Areas in Communications, 33(2), 295–308.

    Article  Google Scholar 

  10. Rezvani, S., Mokari, N., Javan, M. R., et al. (2020). Fairness and transmission-aware caching and delivery policies in OFDMA-based HetNets. IEEE Transactions on Mobile Computing, 19(2), 331–346.

    Article  Google Scholar 

  11. Higuchi, K., & Benjebbour, A. (2015). Non-orthogonal multiple access (NOMA) with successive interference cancellation for future radio access. IEICE Transactions on Communications, 98(3), 403–414.

    Article  Google Scholar 

  12. Patel, P., & Holtzman, J. (1994). Analysis of a simple successive interference cancellation scheme in a DS/CDMA system. IEEE Journal on Selected Areas in Communications, 12(5), 796–807.

    Article  Google Scholar 

  13. Lv, S., Zhuang, W., & Wang, X. et al. (2011). Scheduling in wireless ad hoc networks with successive interference cancellation. In Proceedings of the 30th international conference on computer communications (INFOCOM) (pp. 1287–1295). IEEE.

  14. Kontik, M., & Ergen, S. C. (2014). Scheduling in single-hop multiple access wireless networks with successive interference cancellation. IEEE Wireless Communications Letters, 3(2), 197–200.

    Article  Google Scholar 

  15. Kontik, M., & Ergen, S. C. (2015). Scheduling in successive interference cancellation based wireless ad hoc networks. IEEE Communications Letters, 19(9), 1524–1527.

    Article  Google Scholar 

  16. Jiang, C., Shi, Y., Qin, X., et al. (2016). Cross-layer optimization for multi-hop wireless networks with successive interference cancellation. IEEE Transactions on Wireless Communications, 15(8), 5819–5831.

    Article  Google Scholar 

  17. Capone, A., Li, Y., Pioro, M., et al. (2019). Minimizing end-to-end delay in multi-hop wireless networks with optimized transmission scheduling. Ad Hoc Networks, 89, 236–248.

    Article  Google Scholar 

  18. Xu, C., Wu, M., Xu, Y., et al. (2019). Uplink low-power scheduling for delay-bounded industrial wireless networks based on imperfect power-domain NOMA. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2019.2924483.

    Article  Google Scholar 

  19. Ding, Z., Ng, D. W. K., Schober, R., et al. (2018). Delay minimization for NOMA-MEC offloading. IEEE Signal Processing Letters, 25(12), 1875–1879.

    Article  Google Scholar 

  20. Zhai, D., Zhang, R., Cai, L., et al. (2019). Delay minimization for massive internet of things with non-orthogonal multiple access. IEEE Journal of Selected Topics in Signal Processing, 13(3), 553–566.

    Article  Google Scholar 

  21. Khan, W. U., Jameel, F., & Ristaniemi, T. et al. (2019). Efficient power allocation for multi-cell uplink NOMA network. In Proceedings of IEEE 89th vehicular technology conference (VTC2019-Spring) (pp. 1–5). IEEE.

  22. Erceg, V., Greenstein, L. J., Tjandra, S. Y., et al. (1999). An empirically based path loss model for wireless channels in suburban environments. IEEE Journal on Selected Areas in Communications, 17(7), 1205–1211.

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the Central University funds of China (GK 202003076), the National Natural Science Foundation of China (Grant No. 6210070586) and the Natural Science Foundation of Shaanxi Province (Grant No. 2021JQ-314). The work of Dr. Scott Fowler has been supported by the strategic 341 innovation programme Smart Built Environment, funded by Vinnova, Formas and Energimyndigheten.

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

  1. School of Computer Science, Shaanxi Normal University, Xi’an, 710049, China

    Ming Lei

  2. School of Computer Science and Technology, Xidian University, Xi’an, 710049, Shaanxi, China

    Bin Yu

  3. Department of Computer Science and Technology, Xi’an Jiao tong University, Xi’an, 710049, China

    Xingjun Zhang & Bocheng Yu

  4. Department of Science and Technology, Linköping University, 60174, Norrköping, Sweden

    Scott Fowler

  5. College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi’an, 710049, China

    Peng Wang

Authors
  1. Ming Lei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bin Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xingjun Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Scott Fowler
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bocheng Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Peng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Peng Wang.

Ethics declarations

Competing interests

The authors have not disclosed any competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei, M., Yu, B., Zhang, X. et al. Joint power control and user scheduling for backbone-assisted industrial wireless networks with successive interference cancellation. Telecommun Syst 81, 41–52 (2022). https://doi.org/10.1007/s11235-022-00920-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-022-00920-3

Keywords

Search

Navigation