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Dynamic Virtual Resource Allocation in Virtualized multi-RAT Cellular Networks

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Abstract

The legacy wireless systems are designed to exploit static configuration and deployment, and cannot handle the discrepancies of the spatio-temporal traffic demand. Cloud RAN (C-RAN) is a novel flexible radio technology that utilizes the virtualization concepts and can efficiently address the static deployment of conventional wireless systems. The C-RAN also leverages high radio network flexibility by introducing the network function virtualization approach to wireless networks. This paper presents a novel C-RAN platform that virtualizes and operates with full GSM and LTE systems. The presented platform is solely based on open-source and off the shelf solutions, providing easy implementation, low cost and high scalability. The paper also introduces a novel dynamic resource allocation algorithm that facilitates the C-RAN’s optimal performance in dynamic scenarios. The proposed algorithm is analyzed and validated on the presented C-RAN platform. The results of the performance analysis clearly show the advantages of the proposed dynamic resource allocation algorithm. Moreover, they prove the applicability of the C-RAN platform for variety of different scenarios.

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References

  1. Andrews, J.G., Claussen, H., Dohler, M., Rangan, S., & Reed, M.C. (2012). Femtocells: Past, present, and future. IEEE Journal on Selected Areas in Communications. doi:10.1109/JSAC.2012.120401.

  2. Checko, A., Christiansen, H.L., Yan, Y., Scolari, L., Kardaras, G., Berger, M.S., & Dittmann, L. (2015). Cloud ran for mobile networks—a technology overview. IEEE Communications Surveys and Tutorials. doi:10.1109/COMST.2014.2355255.

  3. Online information. https://www.openstack.org/software/newton/.

  4. Qi, Y., Shakir, M.Z., Imran, M.A., Quddus, A., & Tafazolli, R. (2016). How to solve the fronthaul traffic congestion problem in h-cran? In: 2016 IEEE international conference on communications workshops (ICC), pp. 240–245. doi:10.1109/ICCW.2016.7503794.

  5. Lyazidi, M.Y., Aitsaadi, N., & Langar, R. (2016). Dynamic resource allocation for cloud-ran in lte with real-time bbu/rrh assignment. In 2016 IEEE international conference on communications (ICC), pp. 1–6. doi:10.1109/ICC.2016.7511580.

  6. Jia, Q., Li, B., & Huang, M. (2015). A novel method of baseband pool resource allocation in cloud radio access network system. In 2015 12th International conference on fuzzy systems and knowledge discovery (FSKD), pp. 2034–2038. doi:10.1109/FSKD.2015.7382263.

  7. Liu, J., Zhou, S., Gong, J., Niu, Z., & Xu, S. (2016). Statistical multiplexing gain analysis of heterogeneous virtual base station pools in cloud radio access networks. IEEE Transactions on Wireless Communications, 15(8), 5681–5694. doi:10.1109/TWC.2016.2567383.

    Article  Google Scholar 

  8. Kalil, M., Shami, A., & Ye, Y. (2014). Wireless resources virtualization in lte systems. In 2014 IEEE conference on computer communications workshops (INFOCOM WKSHPS), pp. 363–368. doi:10.1109/INFCOMW.2014.6849259.

  9. Gebremariam, A.A., Chowdhury, M., Goldsmith, A., & Granelli, F. (2017). Resource pooling via dynamic spectrum-level slicing across heterogeneous networks. 14th IEEE annual consumer communications and networking conference (CCNC).

  10. Rakovic, V., Ichkov, A., Grosheva, N., Atanasovski, V., & Gavrilovska, L. (2017). Analysis of virtual resource allocation for cloud-ran based systems. In 20th ICIN conference innovations in cloud, internet and networks, Paris, 2017.

  11. Online information. http://sine.ni.com/nips/cds/view/p/lang/en/nid/213005.

  12. Online information. http://www.ni.com/en-rs/support/model.usrp-2920.html.

  13. Online information. http://openbts.org/.

  14. Online information. http://www.softwareradiosystems.com.

  15. Online information. http://libvolk.org/.

  16. Gomez-Miguelez, I., Garcia-Saavedra, A., Sutton, P.D., Serrano, P., Cano, C., & Leith, D.J. (2016). srslte: An open-source platform for lte evolution and experimentation. In Proceedings of the tenth ACM international workshop on wireless network testbeds, experimental evaluation, and characterization, WiNTECH ’16, pp. 25–32. ACM, New York, NY, USA. doi:10.1145/2980159.2980163..

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Correspondence to Valentin Rakovic.

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Rakovic, V., Ichkov, A., Marinova, S. et al. Dynamic Virtual Resource Allocation in Virtualized multi-RAT Cellular Networks. Wireless Pers Commun 97, 1677–1692 (2017). https://doi.org/10.1007/s11277-017-4568-6

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  • DOI: https://doi.org/10.1007/s11277-017-4568-6

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