Mobile Networks and Applications

, Volume 20, Issue 4, pp 466–472 | Cite as

Self-Organizing Scheme Based on NFV and SDN Architecture for Future Heterogeneous Networks

  • Na ChenEmail author
  • Bo Rong
  • Abdel Mouaki
  • Wei Li


Future cellular networks will be of high capacity and heterogeneity. The structure and architecture will require high efficiency and scalability in network operation and management. In this paper, we address main requirements and challenges of future cellular networks and introduce network function virtualisation (NFV) with software defined networking (SDN) to realize the self-organizing (SO) scheme. NFV integrates the hardware appliances together in industry standard servers. And SDN performs as core controller of the network. The proposed SO scheme is based on soft fractional frequency reuse (SFFR) framework. The scheme takes different traffic demands into consideration and allocates the power adaptively. Finally the system is proved to be more scalable, energy-saving, and intelligent.





Project 61471066 supported by NSFC.


  1. 1.
    Li Q, Hu RQ, Qian Y, Wu G (2012) Cooperative communications for wireless networks: techniques and applications in LTE-advanced systems. IEEE Wireless Commun 19(2):22–29Google Scholar
  2. 2.
    Peng M, Liang D, Wei Y, Li J, Chen H-H (2013) Self-configuration and self-optimization in LTE-advanced heterogeneous networks. IEEE Commun Mag 51(5):36–45CrossRefGoogle Scholar
  3. 3.
    Kerpez KJ, Cioffi JM, Ginis G et al (2014) Software-defined access networks. IEEE Commun Mag 52(9):152–159CrossRefGoogle Scholar
  4. 4.
    Lu K, Qian Y, Chen HH (2007) A secure and service-oriented network control framework for WiMAX networks. IEEE Comm 45(5):124–130CrossRefGoogle Scholar
  5. 5.
    Lu K, Qian Y, Guizani M, Chen HH (2008) A framework for a distributed key management scheme in heterogeneous wireless sensor networks. IEEE Trans Wireless Commun 7(2):639–647CrossRefGoogle Scholar
  6. 6.
    Hou I, Chen CS (2013) An energy-aware protocol for self-organizing heterogeneous LTE systems. IEEE J Select Areas Commun 31(5):937–946CrossRefGoogle Scholar
  7. 7.
    Hu RQ, Qian Y (2013) Heterogeneous cellular networks. WileyGoogle Scholar
  8. 8.
    Yan Y, Qian Y, Sharif H, Tipper D (2012) A survey on cyber security for smart grid communications. IEEE Commun Surveys Tutor 14(4):998–1010CrossRefGoogle Scholar
  9. 9.
    IEEE C802.16m-08/782, Fractional frequency reuse in uplink, LG Electronics (2008)
  10. 10.
    Donghee K, Ahn JY, Kim H (2011) Downlink transmit power allocation in soft fractional frequency reuse systems. ETRI J 33(1):1–5CrossRefGoogle Scholar
  11. 11.
    Lu K, Qian Y, Chen HH, Fu S (2008) WiMAX networks: from access to service platform. IEEE Netw 22(3):38–45CrossRefGoogle Scholar
  12. 12.
    Lim J, Hong D (2011) Management of neighbor cell lists and physical cell identifiers in self-organizing heterogeneous networks. IEEE J Commun Netw 13(4):367–376CrossRefGoogle Scholar
  13. 13.
    Aliu OG, Imran A, Imran MA, Evans B (2013) A survey of self organisation in future cellular networks. IEEE Commun Surv Tutor 15(1):336–361CrossRefGoogle Scholar
  14. 14.
    Fu S, Lu K, Qian Y, Varanasi M (2007) Cooperative network coding for wireless Ad-Hoc networks. In: Proceedings of IEEE Globecom2007. WashingtonGoogle Scholar
  15. 15.
    Bellavista P, Corradi A, Giannellin C (2008) Mobility-aware middleware for self-organizing heterogeneous networks with multihop multipath Connectivity. IEEE Wireless Commun Mag 15(6):22–30CrossRefGoogle Scholar
  16. 16.
    Qi F, Sun S, Rong B, Hu RQ, Qian Y (2014) Cognitive radio based adaptive SON for LTE-A heterogeneous networks. In: IEEE global communications conference (GLOBECOM)Google Scholar
  17. 17.
    ETSI, Network functions virtualisation (NFV) ETSI industry group (2013)
  18. 18.
    Batalle J, Riera JF, Escalona E et al (2013) On the implementation of NFV over an OpenFlow infrastructure: routing function virtualization. In: 2013 IEEE SDN for future networks and services (SDN4FNS), pp 1–6Google Scholar
  19. 19.
    Kim H, Feamster N (2013) Improving network management with software defined networking. IEEE Commun Mag 51(2):114–119CrossRefGoogle Scholar
  20. 20.
    Clayman S, Maini E, Galis A et al (2014) The dynamic placement of virtual network functions. In: 2014 IEEE network operations and management symposium (NOMS), pp 1–9Google Scholar
  21. 21.
    Pentikousis K, Wang Y, Hu W (2013) MobileFlow: toward software-defined mobile networks. IEEE Commun Mag 52(5):94–101Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.School of Information and Communication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina
  2. 2.Communications Research Center CanadaOttawaCanada

Personalised recommendations