Skip to main content

Uplink Resource Allocation Based on Short Block-Length Regime in Heterogeneous Cellular Networks for Smart Grid

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1195))

Abstract

Smart grid (SG) requires massive connections and ubiquitous interconnection, so it requires highly reliable communication services, and 5G communication is of great significance as an important means to ensure highly reliable transmission. This paper introduces the short block-length regime in 5G to meet the stringent requirements of smart grid highly reliable communication services. In addition, there are more and more types and quantities of grid terminals. Neighborhood Area Networks (NANs) need to transmit a large amount of delay-sensitive smart grid data at the same time, which also brings new challenges to network planning. This paper studies an uplink resource allocation scheme based on a heterogeneous cellular networks scenario. In order to maximize the system throughput, the objective problem is decomposed into two sub-problems, and an iterative algorithm based on first-order Taylor expansion linear approximation is proposed. Simulation results show that the algorithm can improve the data transmission throughput of grid devices, improve the efficiency of network resource use, and provide strong support for network planning.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Asuhaimi, F.A., Bu, S., Imran, M.A.: Joint resource allocation and power control in heterogeneous cellular networks for smart grids. In: 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, pp. 1–6 (2018)

    Google Scholar 

  2. Wang, X., Chen, T., Chen, X., Zhou, X., Giannakis, G.B.: Dynamic resource allocation for smart-grid powered MIMO downlink transmissions. IEEE J. Sel. Areas Commun. 34(12), 3354–3365 (2016)

    Article  Google Scholar 

  3. Zhu, J., Yu, M., Tao, X., Yu, C., Zhang, S.: Resource allocation of smart grid virtual communication network based on genetic algorithm. In: 2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), Jinzhou, China, pp. 227–232 (2019)

    Google Scholar 

  4. Chen, X., Xu, W., Han, J., Zhang H.: Underlay resource access scheme for prioritized traffic over private wireless network in smart grid. In: 2017 IEEE 17th International Conference on Communication Technology (ICCT), pp. 1019–1023, Chengdu (2017)

    Google Scholar 

  5. Cheng, X., et al.: Uplink resource allocation for trade-off between throughput and fairness in C-RAN-based neighborhood area network. In: NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium, Taipei, pp. 1–6 (2018)

    Google Scholar 

  6. Zahoor, S., Javaid, N., Khan, A., Ruqia, B., Muhammad, F.J., Zahid, M.: A cloud-fog-based smart grid model for efficient resource utilization. In: 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), Limassol, pp. 1154–1160 (2018)

    Google Scholar 

  7. Yang, C., Chen, X., Liu, Y., Zhong, W., Xie, S.: Efficient task offloading and resource allocation for edge computing-based smart grid networks. In: ICC 2019–2019 IEEE International Conference on Communications (ICC), Shanghai, China, pp. 1–6 (2019)

    Google Scholar 

  8. Sun, C., She, C., Yang, C., Quek, T.Q.S., Li, Y., Vucetic, B.: Optimizing resource allocation in the short blocklength regime for ultra-reliable and low-latency communications. IEEE Trans. Wirel. Commun. 18(1), 402–415 (2019)

    Article  Google Scholar 

  9. Zhu, L., Feng, L., Yang, Z., Li, W., Ou, Q.: Priority-based uRLLC uplink resource scheduling for smart grid neighborhood area network. In: 2019 IEEE International Conference on Energy Internet (ICEI), Nanjing, China, pp. 510–515 (2019)

    Google Scholar 

  10. Li, S., Ni, Q., Sun, Y., Min, G., Al-Rubaye, S.: Energy-efficient resource allocation for industrial cyber-physical IoT systems in 5G era. IEEE Trans. Ind. Inform. 14(6), 2618–2628 (2018)

    Article  Google Scholar 

  11. Li, Z., et al.: Energy efficient resource allocation for UAV-assisted space-air-ground internet of remote things networks. IEEE Access 7, 145348–145362 (2019)

    Article  Google Scholar 

  12. Huang, B., Zhang, C., Bai, X., Li, J., Sun, M., Kong, W.: Energy-efficient resource allocation for machine-type communications in smart grid based on a matching with externalities approach. IEEE Access 7, 104354–104364 (2019)

    Article  Google Scholar 

Download references

Acknowledgements

This paper is supported by Smart Grid Technical Project “Research and Application of Planning and Optimization Technology for Electric Power System’s Dedicated Wireless Network (5700-201919233A-0-0-00)”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sai Wu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wu, S. et al. (2021). Uplink Resource Allocation Based on Short Block-Length Regime in Heterogeneous Cellular Networks for Smart Grid. In: Barolli, L., Poniszewska-Maranda, A., Park, H. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2020. Advances in Intelligent Systems and Computing, vol 1195. Springer, Cham. https://doi.org/10.1007/978-3-030-50399-4_21

Download citation

Publish with us

Policies and ethics