Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Springer Nature Link
Log in

Cross-Layer Software-Defined 5G Network

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

In the past few decades, the world has witnessed a rapid growth in mobile communication and reaped great benefits from it. Even though the fourth generation (4G) mobile communication system is just being deployed worldwide, proliferating mobile demands call for newer wireless communication technologies with even better performance. Consequently, the fifth generation (5G) system is already emerging in the research field. However, simply evolving the current mobile networks can hardly meet such great expectations, because over the years the infrastructures have generally become ossified, closed, and vertically constructed. Aiming to establish a new paradigm for 5G mobile networks, in this article, we propose a cross-layer software-defined 5G network architecture. By jointly considering both the network layer and the physical layer together, we establish the two software-defined programmable components, the control plane and the cloud computing pool, which enable an effective control of the mobile network from the global perspective and benefit technological innovations. Specifically, by the cross-layer design for software-defining, the logically centralized and programmable control plane abstracts the control functions from the network layer down to the physical layer, through which we achieve the fine-grained controlling of mobile network, while the cloud computing pool provides powerful computing capability to implement the baseband data processing of multiple heterogeneous networks. The flexible programmability feature of our architecture makes it convenient to deploy cross-layer technological innovations and benefits the network evolution. We discuss the main challenges of our architecture, including the fine-grained control strategies, network virtualization, and programmability. The architecture significantly benefits the convergence towards heterogeneous networks and enables much more controllable, programmable and evolvable mobile networks. Simulations validate these performance advantages.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Similar content being viewed by others

References

  1. Zaki Y, Zhao L, Goerg C, Timm-Giel A (2011) Lte mobile network virtualization. Mob Netw Appl 16 (4):424–432

    Article  Google Scholar 

  2. Karjaluoto H (2007) An investigation of third generation (3g) mobile technologies and services. Contemp Manag Res 2 (2):91–104

    Google Scholar 

  3. Kennedy M, Ksentini A, Hadjadj-Aoul Y, Muntean G (2013) Adaptive energy optimization in multimedia-centric wireless devices: a survey. IEEE Commun Surv Tutor 15 (2):768–786

    Article  Google Scholar 

  4. Ericsson (2012) Mobile report on the pulse of the networked society. Ericsson Mobility Report. http://www.ericsson.com/res/docs/2012/ericsson-mobility-report-november-2012.pdf. Accessed November 2012

  5. Chen BX (2012) Carriers warn of crisis in mobile spectrum. The New York Times. http://www.nytimes.com/2012/04/18/technology/mobile-carriers-warn-of-spectrum-crisis-others-see-hyperbole.html?pagewanted=all. Accessed 17 April 2012

  6. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mob Netw Appl 19(2):171–209

    Article  MathSciNet  Google Scholar 

  7. Chen M, Mao S, Zhang Y, Leung V (2014) Big data: related technologies, challenges and future prospects. Springer Briefs in Computer Science

  8. Wang X, Chen M, Taleb T, Ksentini A, Leung V. (2014) Cache in the air: enabling the green multimedia caching and delivery for the 5G network. IEEE Commun Mag 52(2):131–139

    Article  Google Scholar 

  9. Yu M, Rexford J, Freedman MJ, Wang J (2010) Scalable flow-based networking with difane. SIGCOMM Comput Commun Rev 41(4):351–362

    Article  Google Scholar 

  10. Kim H, Feamster N (2013) Improving network management with software defined networking. IEEE Commun Mag 51 (2):114– 119

    Article  Google Scholar 

  11. Bansal M, Mehlman J, Katti S, Levis P (2012) Openradio: a programmable wireless dataplane. In: Proceedings of the first workshop on Hot topics in software defined networks, ser. HotSDN ’12, New York, pp 109–114

    Book  Google Scholar 

  12. McKeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J (2008) Openflow: enabling innovation in campus networks. SIGCOMM Comput Commun Rev 38(2):69–74

    Article  Google Scholar 

  13. Li L, Mao Z, Rexford J (2012) Toward software-defined cellular networks. In: 2012 European Workshop on Software Defined Networking (EWSDN). Berlin, pp 7–12

  14. Gudipati A, Perry D, Li LE, Katti S (2013) Softran: software defined radio access network. In: Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking, ser. HotSDN ’13, New York, pp 25–30

    Google Scholar 

  15. Kumar S, Cifuentes D, Gollakota S, Katabi D (2013) Bringing cross-layer mimo to today’s wireless lans. SIGCOMM Comput Commun Rev 43(4):387–398

    Google Scholar 

  16. Jin X, Li LE, Vanbever L, Rexford J (2013) Softcell: Scalable and flexible cellular core network architecture. In: Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies, ser. CoNEXT ’13, New York, pp 163– 174

  17. Pentikousis K, Wang Y, Hu W (2013) Mobileflow: Toward software-defined mobile networks. IEEE Commun Mag 51(7):44–53

    Article  Google Scholar 

  18. Yap KK, Sherwood R, Kobayashi M, Huang TY, Chan M, Handigol N, McKeown N, Parulkar G (2010) Blueprint for introducing innovation into wireless mobile networks. In: Proceedings of the Second ACM SIGCOMM Workshop on Virtualized Infrastructure Systems and Architectures, ser. VISA ’10, New York, pp 25–32

    Google Scholar 

  19. Chowdhury NMK, Boutaba R (2010) A survey of network virtualization. Comput Netw 54(5):862–876

    Article  MATH  Google Scholar 

  20. Ofcom (2012) Sitefinder: Mobile Phone Base Station Database. http://www.sitefinder.ofcom.org.uk/. Accessed 17 December 2013

Download references

Acknowledgments

This work is supported by National Basic Research Program of China (973 Program Grant No. 2013CB329105), National Natural Science Foundation of China (Grants No. 61301080, No. 61171065, 61271279, and 61201157), Chinese National Major Scientific and Technological Specialized Project (No. 2013ZX0300 2001 and 2014AA01A707), Chinas Next Generation Internet (No. CNGI-12-03-007), and the Fundamental Research Foundation of NPU (Grant No. JCY20130131).

Author information

Authors and Affiliations

  1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, 710072, People’s Republic of China

    Mao Yang, Bo Li & Zhongjiang Yan

  2. Department of Electronic Engineering, Tsinghua University, Beijing, 100084, People’s Republic of China

    Yong Li & Depeng Jin

  3. School of Computer Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Rd, Hongshan, Wuhan, Hubei, China

    Long Hu

  4. Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

    Sheng Chen

Authors
  1. Mao Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Long Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bo Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Depeng Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Sheng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Zhongjiang Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, M., Li, Y., Hu, L. et al. Cross-Layer Software-Defined 5G Network. Mobile Netw Appl 20, 400–409 (2015). https://doi.org/10.1007/s11036-014-0554-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-014-0554-3

Keywords

Search

Navigation