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Fronthaul network design for radio access network virtualization from a CAPEX/OPEX perspective

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Abstract

With the increase of mobile traffic demand and the need to reduce expenses to handle this demand, a novel solution, known as Cloud Radio Access Network (C-RAN), has been proposed for future radio access network. This solution involves virtualizing base stations and centralizing processing resources into a baseband processing unit (BBU) pool. C-RAN also helps fully deploying cooperative schemes used in LTE and LTE-Advanced. In this paper, we analyze C-RAN cost structure. Then, unlike previous works, we mathematically formulate cell-BBU pool assignment, taking into account fronthaul network expenditure. Two optimization models are proposed for two different architectures. We then use these formulations to develop solutions to our problem, which optimize the C-RAN costs subject to demand constraints. Through extensive experiments, cost efficiency of C-RAN architecture is discussed and the effect of different parameters is analyzed. We also derive conditions where utilizing C-RAN architecture can help cost savings.

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References

  1. Cisco CVNI (2014) Global mobile data traffic forecast update, 2013–2018. white paper

  2. Fehske A, Fettweis G, Malmodin J, Biczók G (2011) The global footprint of mobile communications: the ecological and economic perspective. IEEE Commun Mag 49(8):55–62

    Article  Google Scholar 

  3. Nakamura T, Nagata S, Benjebbour A, Kishiyama Y, Hai T, Xiaodong S, et al. (2013) Trends in small cell enhancements in LTE Advanced. IEEE Commun Mag 51(2):98–105

    Article  Google Scholar 

  4. Rahman M, Despins C, Affes S (2013) Analysis of CAPEX and OPEX benefits of wireless access virtualization. In 2013 I.E. International Conference on Communications Workshops (ICC), (pp. 436–440): IEEE

  5. Lin Y, Shao L, Zhu Z, Wang Q, Sabhikhi RK (2010) Wireless network cloud: architecture and system requirements. IBM J Res Dev 54(1):4: 1–4: 12

    Article  Google Scholar 

  6. Chih-Lin I, Rowell C, Shuangfeng H, Zhikun X, Gang L, Zhengang P (2014) Toward green and soft: a 5G perspective. IEEE Commun Mag 52(2):66–73. doi:10.1109/mcom.2014.6736745

    Article  Google Scholar 

  7. Lee D, Seo H, Clerckx B, Hardouin E, Mazzarese D, Nagata S, et al. (2012) Coordinated multipoint transmission and reception in LTE-advanced: deployment scenarios and operational challenges. IEEE Commun Mag 50(2):148–155

    Article  Google Scholar 

  8. Park S-H, Simeone O, Sahin O, Shamai S (2013) Robust and efficient distributed compression for cloud radio access networks. IEEE Trans Veh Technol 62(2):692–703

    Article  Google Scholar 

  9. Samardzija D, Pastalan J, MacDonald M, Walker S, Valenzuela R (2012) Compressed transport of baseband signals in radio access networks. IEEE Trans Wirel Commun 11(9):3216–3225

    Article  Google Scholar 

  10. Yuhan Z, Wei Y (2014) Optimized backhaul compression for uplink cloud radio access network. IEEE J Selected Areas Commun 32(6):1295–1307. doi:10.1109/jsac.2014.2328133

    Article  Google Scholar 

  11. Checko A, Christiansen HL, Yan Y, Scolari L, Kardaras G, Berger MS, et al. (2015) Cloud RAN for mobile networks—a technology overview. IEEE Commun Surveys Tutorials 17(1):405–426

    Article  Google Scholar 

  12. Mobile C (2011) C-RAN: the road towards green RAN. White Paper, ver, 2

  13. Madhavan M, Gupta P, Chetlur M (2012)Quantifying multiplexing gains in a wireless network cloud. In 2012 I.E. International Conference on Communications (ICC) (pp. 3212–3216): IEEE

  14. Werthmann T, Grob-Lipski H, Proebster M (2013) Multiplexing gains achieved in pools of baseband computation units in 4G cellular networks. In 2013 I.E. 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC) (pp. 3328–3333): IEEE

  15. Checko A, Christiansen HL, Berger MS (2013). Evaluation of energy and cost savings in mobile Cloud RAN. OPNETWORK 2013.

  16. Checko A, Holm H, Christiansen H (2014) Optimizing small cell deployment by the use of C-RANs. In 20th European Wireless Conference; Proceedings of European Wireless 2014, (pp. 1–6): VDE

  17. Namba S, Matsunaka T, Warabino T, Kaneko S, Kishi Y (2012) Colony-RAN architecture for future cellular network. In 2012 Future Network & Mobile Summit (FutureNetw), (pp. 1–8): IEEE

  18. Common Public Radio Interface (CPRI); Interface Specification V6.0 (2013)

  19. Johansson K, Furuskar A, Karlsson P, Zander J (2004) Relation between base station characteristics and cost structure in cellular systems. In 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. (Vol. 4, pp. 2627–2631): IEEE

  20. Guo W, O’Farrell T (2012) Capacity-energy-cost tradeoff in small cell networks. In 2012 I.E. 75th Vehicular Technology Conference (VTC Spring) (pp. 1–5): IEEE

  21. Deruyck M, Tanghe E, Joseph W, Martens L (2011) Modelling and optimization of power consumption in wireless access networks. Comput Commun 34(17):2036–2046

    Article  Google Scholar 

  22. Chih-Lin I, Jinri H, Ran D, Chunfeng C, Jiang JX, Lei L (2014) Recent progress on C-RAN centralization and cloudification. IEEE Access 2:1030–1039. doi:10.1109/access.2014.2351411

    Article  Google Scholar 

  23. Pompili D, Hajisami A, Viswanathan H (2015) Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs). Ad Hoc Netw 30:128–143

    Article  Google Scholar 

  24. Marsan MA, Bucalo G, Di Caro A, Meo M, Zhang Y (2013) Towards zero grid electricity networking: powering BSs with renewable energy sources. In 2013 I.E. International Conference on Communications Workshops (ICC), (pp. 596–601): IEEE

  25. Mitchell JE (2014) Integrated wireless backhaul over optical access networks. J Lightwave Technol 32(20):3373–3382

    Article  Google Scholar 

  26. Rost P, Bernardos C, Domenico A, Girolamo M, Lalam M, Maeder A, et al. (2014) Cloud technologies for flexible 5G radio access networks. IEEE Commun Mag 52(5):68–76

    Article  Google Scholar 

  27. ZIB Optimization Suite. http://scip.zib.de/2015.

  28. Johansson, K. (2007). Cost effective deployment strategies for heterogenous wireless networks.

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Correspondence to Hassan Yeganeh.

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Yeganeh, H., Vaezpour, E. Fronthaul network design for radio access network virtualization from a CAPEX/OPEX perspective. Ann. Telecommun. 71, 665–676 (2016). https://doi.org/10.1007/s12243-016-0538-3

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  • DOI: https://doi.org/10.1007/s12243-016-0538-3

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