Skip to main content
SpringerLink
Log in

Cloud-based Wireless Network: Virtualized, Reconfigurable, Smart Wireless Network to Enable 5G Technologies

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

Abstract

In recent years, information communication and computation technologies are deeply converging, and various wireless access technologies have been successful in deployment. It can be predicted that the upcoming fifth generation mobile communication technology (5G) can no longer be defined by a single business model or a typical technical characteristic. 5G is a multi-service and multi-technology integrated network, meeting the future needs of a wide range of big data and the rapid development of numerous businesses, and enhancing the user experience by providing smart and customized services. In this paper, we propose a cloud-based wireless network architecture with four components, i.e., mobile cloud, cloud-based radio access network (Cloud RAN), reconfigurable network and big data centre, which is capable of providing a virtualized, reconfigurable, smart wireless network.

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

Similar content being viewed by others

References

  1. Nakamura T, Nagata S, Benjebbour A et al (2013) Trends in small cell enhancements in LTE advanced. IEEE Commun Mag 51(2):98–105

  2. Li Q, Niu H, Papathanassiou A, Wu G (2014) 5G network capacity: key elements and technologies. IEEE Wirel Commun 9(1):71–78

    Google Scholar 

  3. Wang LC, Rangapillai S (2012) A survey on green 5G cellular networks. In: Proceedings of 2012 international conference signal processing and communications (SPCOM), pp 1–5

  4. Janevski T (2009) 5G mobile phone concept. In: Proceedings of 6th IEEE consumer communications and networking conference (CCNC 2009), pp 1–2

  5. Tudzarov A, Janevski T (2011) Functional architecture for 5G mobile networks. International Journal of Advanced Science and Technology 32:65–78

    Google Scholar 

  6. Gohil A, Modi H, Patel SK (2013) 5G technology of mobile communication: a survey. In: Proceedings of 2013 international conference on intelligent systems and signal processing (ISSP), pp 288–292

  7. Larew SG, Thomas TA, Cudak M, Ghosh A (2013) Air interface design and ray tracing study for 5G millimeter wave communications. In: Proceedings of 2013 IEEE globecom workshops (GC Wkshps), pp 117–122

  8. Rappaport TS, Sun S, Mayzus R, Zhao H, Azar Y, Wang K, Gutierrez F (2013) Millimeter wave mobile communications for 5G cellular: it will work!. IEEE Access 1:335–349

    Article  Google Scholar 

  9. MacCartney GR Jr, Zhang J, Nie S, Rappaport TS (2013) Path loss models for 5G millimeter wave propagation channels in urban microcells. In: Proceedings of IEEE 2013 global communications conference

  10. Olsson M, Cavdar C, Frenger P, Tombaz S, Sabella D, Jantti R (2013) 5GrEEn: towards green 5G mobile networks. In: Proceedings of 2013 IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob), pp 212–216

  11. Shiraz M, Gani A, Khokhar RH, Buyya R (2013) A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Communications Surveys & Tutorials 15(3):1294–1313

    Article  Google Scholar 

  12. Sabella D, Rost P, Sheng Y, Pateromichelakis E, Salim U, Guitton-Ouhamou P, Giuliani G (2013) RAN as a service: challenges of designing a flexible RAN architecture in a cloud-based heterogeneous mobile network. In: Proceedings of IEEE future network and mobile summit (FutureNetworkSummit), pp 1–8

  13. Basta A, Kellerer W, Hoffmann M, Hoffmann K, Schmidt ED (2013) A virtual SDN-enabled LTE EPC architecture: a case study for S-/P-Gateways functions. In: Proceedings of 2013 IEEE SDN for future networks and services (SDN4FNS), pp 1–7

  14. Chen M, Mao S, Zhang Y, Leung V (2014) Big data: related technologies, challenges and future prospects, Springer Briefs in Computer Science. Springer, Berlin. ISBN 978-3-319-06245-7

  15. Taleb T, Corici M, Parada C, Jamakovic A, Ruffino S, Karagiannis G, Karimzadeh M, Magedanz T (2014) Ease: Epc as a service to ease mobile core network, IEEE Network Magazine.(to appear)

  16. Taleb T (2014) Toward carrier cloud: potential, challenges, and solutions. IEEE Wirel Commun 21(3):80–91

    Article  Google Scholar 

  17. Kumar K, Lu YH (2010) Cloud computing for mobile users: can offloading computation save energy? Computer 43(4):51–56

    Article  Google Scholar 

  18. Dinh HT, Lee C, Niyato D, Wang P (2013) A survey of mobile cloud computing: architecture, applications, and approaches. Wirel Commun Mob Comput 13(18):1587–1611

    Article  Google Scholar 

  19. Fernando N, Loke SW, Rahayu W (2011) Dynamic mobile cloud computing: Ad hoc and opportunistic job sharing. In: Proceedings of 2011 fourth IEEE international conference on utility and cloud computing (UCC), pp 281–286

  20. Bahl P, Han RY, Li LE, Satyanarayanan M (2012) Advancing the state of mobile cloud computing. In: Proceedings of the third ACM workshop on mobile cloud computing and services, pp 21–28

  21. Murray DG, Yoneki E, Crowcroft J, Hand S (2010) The case for crowd computing. In: Proceedings of the second ACM SIGCOMM workshop on networking, systems, and applications on mobile handhelds, pp 39–44

  22. Pedrasa MMA, Spooner TD, MacGill IF (2010) Coordinated scheduling of residential distributed energy resources to optimize smart home energy services. IEEE Transactions on Smart Grid 1(2):134–143

    Article  Google Scholar 

  23. Jin Y, Wen Y, Hu H (2013) Minimizing monetary cost via cloud clone migration in multi-screen cloud social TV system. In: Proceedings of 2013 IEEE global communications conference (GLOBECOM), pp 1747–1752

  24. Quwaider M, Jararweh Y (2013) Cloudlet-based for big data collection in body area networks. In: Proceedings of 2013 IEEE 8th international conference for internet technology and secured transactions (ICITST), pp 137–141

  25. Liu C, Sundaresan K, Jiang M, Rangarajan S, Chang GK (2013) The case for re-configurable backhaul in cloud-RAN based small cell networks. In: Proceedings of 2013 IEEE INFOCOM, pp 1124–1132

  26. Cao D, Zhou S, Zhang C, Niu Z (2010) Energy saving performance comparison of coordinated multi-point transmission and wireless relaying. In: Proceedings of 2010 IEEE global telecommunications conference (GLOBECOM 2010), pp 1–5

  27. Amarasuriya G, Tellambura C, Ardakani M (2012) Two-way amplify-and-forward multiple-input multiple-output relay networks with antenna selection. IEEE Journal on Selected Areas in Communications 30(8):1513–1529

    Article  Google Scholar 

  28. Hao D, Liu X, Xie D (2013) A precoding algorithm for collaborative MIMO system. In: Proceedings of 2013 IEEE international conference on signal processing communication and computing (ICSPCC), pp 1–4

  29. Zhu Z, Gupta P, Wang Q, Kalyanaraman S, Lin Y, Franke H, Sarangi S (2011) Virtual base station pool: towards a wireless network cloud for radio access networks. In: Proceedings of the 8th ACM international conference on computing frontiers

  30. Demestichas P, Georgakopoulos A, Karvounas D et al (2013) 5G on the horizon: key challenges for the radio-access network. IEEE Veh Technol Mag 8(3):47–53

  31. Rost P, Bernardos CJ, Domenico AD, Girolamo MD, Lalam M, Maeder A, Sabella D (2014) Cloud technologies for flexible 5G radio access networks. IEEE Commun Mag 52(5):68–76

  32. Chin WH, Fan Z, Haines R (2014) Emerging technologies and research challenges for 5G wireless networks. IEEE Wirel Commun 21(2):106–112

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

  34. Jain R, Paul S (2013) Network virtualization and software defined networking for cloud computing: a survey. IEEE Commun Mag 51(11):24–31

  35. Network Functions Virtualisation. Available http://portal.etsi.org/nfv/nfv_white_paper.pdf

  36. Bolla R, Lombardo C, Bruschi R, Mangialardi S (2014) DROPv2: energy efficiency through network function virtualization. IEEE Netw 28(2):26–32

  37. Taleb T, Bagaa M, Ksentini A (2015) User mobility-aware virtual network function placement for virtual 5G network infrastructure. In: The IEEE international conference on communications (ICC), IEEE

  38. Bagaa M, Taleb T, Ksentini A (2014) Service-aware network function placement for efficient traffic handling in carrier cloud. In: Wireless communications and networking conference (WCNC), IEEE 2014. IEEE, pp 2402–2407

  39. Taleb T, Ksentini A (2013) Gateway relocation avoidance-aware network function placement in carrier cloud. In: Proceedings of the 16th ACM international conference on modeling, analysis & simulation of wireless and mobile systems, ACM, p 341–346

  40. McKeown N, Anderson T, Balakrishnan H et al (2008) Open-Flow: enabling innovation in campus networks. ACM SIGCOMM Computer Communication Review 38(2):69–74

  41. Huang J, Tsai C, Chen H (2013) A location-based service middleware for 4G LTE environment. In: Proceedings of the 17th IEEE international symposium on consumer electronics (ISCE), pp 33–34

  42. Liu Q, Ma H, Chen E, Xiong H (2013) A survey of contextaware mobile recommendations. Int J Inf Technol Decis Mak 12(1):139–172

Download references

Acknowledgments

This work is supported by China National Natural Science Foundation under Grant 61300224, the International Science and Technology Collaboration Program (2014DFT10070) funded by China Ministry of Science and Technology (MOST), Hubei Provincial Key Project under grant 2013CFA051, Program for New Century Excellent Talents in University (NCET).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China

    Min Chen & Long Hu

  2. School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China

    Yin Zhang

  3. Communications and Networking Department, School of Electrical Engineering, Aalto University, Espoo, Finland

    Tarik Taleb

  4. School of Engineering and Informatics, University of Sussex, Brighton, UK

    Zhengguo Sheng

Authors
  1. Min Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yin Zhang
    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. Tarik Taleb
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhengguo Sheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yin Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, M., Zhang, Y., Hu, L. et al. Cloud-based Wireless Network: Virtualized, Reconfigurable, Smart Wireless Network to Enable 5G Technologies. Mobile Netw Appl 20, 704–712 (2015). https://doi.org/10.1007/s11036-015-0590-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-015-0590-7

Keywords

Search

Navigation