Skip to main content

Resource Management for Network Slicing

  • Chapter
  • First Online:
Book cover Network Slicing for 5G and Beyond Networks

Abstract

Radio resource management is categorized among the biggest challenges for the 5G networks due to the proliferation of heterogeneous devices. Moreover, the introduction of 5G verticals and the need to fulfill heterogeneous stringent requirements based on novel applications further complicates the radio resource management process. Network slicing can be considered as a promising scheme to meet these heterogeneous requirements produced by various 5G verticals. In network slicing, the physical resources (radio access network resources, i.e., subcarrier power, spectrum, infrastructure, etc.) are sliced into multiple logical networks based on the application requirements. In this chapter, first, we discuss about the radio access network resources. Then, we briefly elaborate on network slicing and its challenges for achieving efficient resource management. Moreover, we aim to expose the readers to the resource management approaches that can support us to build efficient network slices for 5G verticals. Finally, we provide a use case for vertical industries pertaining to the resource management in virtual reality.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Hong, C. S., Kazmi, S. A., Moon, S., & Van Mui, N. (2016). SDN based wireless heterogeneous network management. In AETA 2015: Recent Advances in Electrical Engineering and Related Sciences (pp. 3–12). Cham: Springer.

    Chapter  Google Scholar 

  2. Raza, H. (2011, June). A brief survey of radio access network backhaul evolution: Part I. IEEE Communications Magazine, 49(6), 164–171.

    Article  Google Scholar 

  3. Oo, T. Z., Tran, N. H., LeAnh, T., Kazmi, S. M. A., Ho, T. M., & Hong, C. S. (2015, August). Traffic offloading under outage QoS constraint in heterogeneous cellular networks. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 436–439).

    Google Scholar 

  4. Kazmi, S. A., Tran, N. H., Ho, T. M., Oo, T. Z., LeAnh, T., Moon, S., et al. (2015). Resource management in dense heterogeneous networks. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 440–443). New York: IEEE.

    Chapter  Google Scholar 

  5. Ho, T. M., Tran, N. H., Kazmi, S. M. A., Moon, S. I., & Hong, C. S. (2016). Distributed pricing power control for downlink co-tier interference coordination in two-tier heterogeneous networks. In Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, IMCOM ’16. New York: ACM, pp. 87:1–87:7. Available: http://doi.acm.org/10.1145/2857546.2857635

  6. Ho, T. M., Tran, N. H., Le, L. B., Kazmi, S. M. A., Moon, S. I., & Hong, C. S. (2015, May). Network economics approach to data offloading and resource partitioning in two-tier LTE HetNets. In 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 914–917).

    Google Scholar 

  7. Ho, T. M., Tran, N. H., Do, C. T., Kazmi, S. M. A., LeAnh, T., & Hong, C. S. (2015, August). Data offloading in heterogeneous cellular networks: Stackelberg game based approach. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 168–173).

    Google Scholar 

  8. Ho, T. M., Tran, N. H., Ahsan Kazmi, S. M., & Hong, C. S. (2016). Distributed resource allocation for interference management and QoS guarantee in underlay cognitive femtocell networks. In 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 1–4). IEEE.

    Google Scholar 

  9. Cisco Visual Networking Index. (2016). Global Mobile Data Traffic Forecast Update, 2015–2020 White Paper. Document ID, vol. 958959758.

    Google Scholar 

  10. Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009, October). The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23.

    Article  Google Scholar 

  11. Fog Computing and the Internet of Things: Extend the Cloud to Where the Things Are. (2015). Cisco White Paper.

    Google Scholar 

  12. Beck, M. T., Werner, M., Feld, S., & Schimper, S. (2014). Mobile edge computing: A taxonomy. In Proceedings of the Sixth International Conference on Advances in Future Internet (pp. 48–55). Citeseer.

    Google Scholar 

  13. Kazmi, S. A., Tran, N. H., Ho, T. M., & Hong, C. S. (2018). Hierarchical matching game for service selection and resource purchasing in wireless network virtualization. IEEE Communications Letters, 22(1), 121–124.

    Article  Google Scholar 

  14. Kazmi, S. A., & Hong, C. S. (2017). A matching game approach for resource allocation in wireless network virtualization. In Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication (p. 113). New York: ACM.

    Google Scholar 

  15. Kim, D. H., Kazmi, S., & Hong, C. S. (2018). Cooperative slice allocation for virtualized wireless network: A matching game approach. In Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication (p. 94). New York: ACM.

    Google Scholar 

  16. Sciancalepore, V., Zanzi, L., Costa-Perez, X., & Capone, A. (2018). Onets: Online network slice broker from theory to practice. Preprint. arXiv:1801.03484.

    Google Scholar 

  17. Richart, M., Baliosian, J., Serrat, J., & Gorricho, J.-L. (2016). Resource slicing in virtual wireless networks: A survey. IEEE Transactions on Network and Service Management, 13(3), 462–476.

    Article  Google Scholar 

  18. Foukas, X., Patounas, G., Elmokashfi, A., & Marina, M. K. (2017). Network slicing in 5G: Survey and challenges. IEEE Communications Magazine, 55(5), 94–100.

    Article  Google Scholar 

  19. Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A.-H., & Leung, V. C. (2017). Network slicing based 5G and future mobile networks: Mobility, resource management, and challenges. IEEE Communications Magazine, 55(8), 138–145.

    Article  Google Scholar 

  20. Ordonez-Lucena, J., Ameigeiras, P., Lopez, D., Ramos-Munoz, J. J., Lorca, J., & Folgueira, J. (2017). Network slicing for 5G with SDN/NFV: Concepts, architectures and challenges. Preprint. arXiv:1703.04676.

    Google Scholar 

  21. Ho, T. M., Tran, N. H., Kazmi, S. A., Han, Z., & Hong, C. S. (2018). Wireless network virtualization with non-orthogonal multiple access. In NOMS 2018-2018 IEEE/IFIP Network Operations and Management Symposium (pp. 1–9). Piscataway: IEEE.

    Google Scholar 

  22. Ho, T. M., Tran, N. H., Kazmi, S. M. A., & Hong, C. S. (2017, January). Dynamic pricing for resource allocation in wireless network virtualization: A Stackelberg game approach. In 2017 International Conference on Information Networking (ICOIN) (pp. 429–434).

    Google Scholar 

  23. Ndikumana, A., Ullah, S., Thar, K., Tran, N. H., Park, B. J., & Hong, C. S. (2017). Novel cooperative and fully-distributed congestion control mechanism for content centric networking. IEEE Access, 5, 27691–27706.

    Article  Google Scholar 

  24. Ndikumana, A., Ullah, S., Kamal, R., Thar, K., Kang, H. S., Moon, S. I., et al. (2015, August). Network-assisted congestion control for information centric networking. In 2015 17th Asia-Pacific Network Operations and Management Symposium (APNOMS) (pp. 464–467).

    Google Scholar 

  25. Vo, P. L., Nguyen, M. N. H., Le, T. A., & Tran, N. H. (2018). Slicing the edge: Resource allocation for ran network slicing. IEEE Wireless Communications Letters, 7(6), 970–973.

    Article  Google Scholar 

  26. Olwal, T. O., Djouani, K., & Kurien, A. M. (2016, third quarter). A survey of resource management toward 5G radio access networks. IEEE Communications Surveys Tutorials, 18(3), 1656–1686.

    Article  Google Scholar 

  27. Rappaport, T. S., Xing, Y., MacCartney, G. R., Molisch, A. F., Mellios, E., & Zhang, J. (2017, December). Overview of millimeter wave communications for fifth-generation (5G) wireless networks—With a focus on propagation models. IEEE Transactions on Antennas and Propagation, 65(12), 6213–6230.

    Article  Google Scholar 

  28. Ho, T. M., LeAnh, T., Kazmi, S. M. A., & Hong, C. S. (2014, September). Opportunistic resource allocation via stochastic network optimization in cognitive radio networks. In The 16th Asia-Pacific Network Operations and Management Symposium (pp. 1–4).

    Google Scholar 

  29. Adedoyin, M. A., & Falowo, O. E. (2017, June). QoS-based radio resource management for 5G ultra-dense heterogeneous networks. In 2017 European Conference on Networks and Communications (EuCNC) (pp. 1–6).

    Google Scholar 

  30. Kazmi, S. M. A., Tran, N. H., Saad, W., Le, L. B., Ho, T. M., & Hong, C. S. (2016, July). Optimized resource management in heterogeneous wireless networks. IEEE Communications Letters, 20(7), 1397–1400.

    Google Scholar 

  31. Saeed, A., Katranaras, E., Zoha, A., Imran, A., Imran, M. A., & Dianati, M. (2015). Energy efficient resource allocation for 5G heterogeneous networks. In 2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) (pp. 119–123). Piscataway: IEEE.

    Chapter  Google Scholar 

  32. Liu, G., Zhao, H., & Li, D. (2017, October). Resource allocation in heterogeneous networks: A modified many-to-one swap matching. In 2017 IEEE 17th International Conference on Communication Technology (ICCT) (pp. 508–512).

    Google Scholar 

  33. Li, L., Zhao, G., & Blum, R. S. (2018, third quarter). A survey of caching techniques in cellular networks: Research issues and challenges in content placement and delivery strategies. IEEE Communications Surveys Tutorials, 20(3), 1710–1732.

    Article  Google Scholar 

  34. Khreishah, A., & Chakareski, J. (2015, April). Collaborative caching for multicell-coordinated systems. In 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 257–262).

    Google Scholar 

  35. Ji, J., Zhu, K., Wang, R., Chen, B., & Dai, C. (2018). Energy efficient caching in backhaul-aware cellular networks with dynamic content popularity. Wireless Communications and Mobile Computing, 2018, 12 pp.

    Google Scholar 

  36. Yang, C., Yao, Y., Chen, Z., & Xia, B. (2016, January). Analysis on cache-enabled wireless heterogeneous networks. IEEE Transactions on Wireless Communications, 15(1), 131–145.

    Article  Google Scholar 

  37. Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017, fourth quarter). A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys Tutorials, 19(4), 2322–2358.

    Article  Google Scholar 

  38. Yu, S., Wang, X., & Langar, R. (2017, October). Computation offloading for mobile edge computing: A deep learning approach. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (pp. 1–6).

    Google Scholar 

  39. You, C., Huang, K., Chae, H., & Kim, B. (2017, March). Energy-efficient resource allocation for mobile-edge computation offloading. IEEE Transactions on Wireless Communications, 16(3), 1397–1411.

    Article  Google Scholar 

  40. Mao, Y., Zhang, J., & Letaief, K. B. (2016, December). Dynamic computation offloading for mobile-edge computing with energy harvesting devices. IEEE Journal on Selected Areas in Communications, 34(12), 3590–3605.

    Article  Google Scholar 

  41. Messous, M., Sedjelmaci, H., Houari, N., & Senouci, S. (2017, May). Computation offloading game for an UAV network in mobile edge computing. In 2017 IEEE International Conference on Communications (ICC) (pp. 1–6).

    Google Scholar 

  42. Bastug, E., Bennis, M., Médard, M., & Debbah, M. (2017). Toward interconnected virtual reality: Opportunities, challenges, and enablers. IEEE Communications Magazine, 55(6), 110–117.

    Article  Google Scholar 

  43. Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011, January). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1–122. Available: http://dx.doi.org/10.1561/2200000016

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kazmi, S.M.A., Khan, L.U., Tran, N.H., Hong, C.S. (2019). Resource Management for Network Slicing. In: Network Slicing for 5G and Beyond Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-16170-5_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-16170-5_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16169-9

  • Online ISBN: 978-3-030-16170-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics