Browse > Article
http://dx.doi.org/10.1109/JCN.2016.000025

Evaluating C-RAN Fronthaul Functional Splits in Terms of Network Level Energy and Cost Savings  

Checko, Aleksandra (Department of Photonics Engineering, Technical University of Denmark)
Avramova, Andrijana P. (Department of Photonics Engineering, Technical University of Denmark)
Berger, Michael S. (Department of Photonics Engineering, Technical University of Denmark)
Christiansen, Henrik L. (Department of Photonics Engineering, Technical University of Denmark)
Publication Information
Abstract
The placement of the complete baseband processing in a centralized pool results in high data rate requirement and inflexibility of the fronthaul network, which challenges the energy and cost effectiveness of the cloud radio access network (C-RAN). Recently, redesign of the C-RAN through functional split in the baseband processing chain has been proposed to overcome these challenges. This paper evaluates, by mathematical and simulation methods, different splits with respect to network level energy and cost efficiency having in the mind the expected quality of service. The proposed mathematical model quantifies the multiplexing gains and the trade-offs between centralization and decentralization concerning the cost of the pool, fronthaul network capacity and resource utilization. The event-based simulation captures the influence of the traffic load dynamics and traffic type variation on designing an efficient fronthaul network. Based on the obtained results, we derive a principle for fronthaul dimensioning based on the traffic profile. This principle allows for efficient radio access network with respect to multiplexing gains while achieving the expected users' quality of service.
Keywords
C-RAN; energy efficiency; functional split; multiplexing gain;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Chen and R. Izmailov, "The notion of overbooking and its application to IP/MPLS traffic engineering," Request for Comments: Internet draft , Nov. 2001.
2 Robert B. Cooper and Daniel P. Heyman, "Teletraffic theory and engineering," Encyclopedia of Telecommunications., vol. 16, no. 1, pp. 453-483, 1998.
3 V. B. Iversen, "Multi-dimensional loss systems," in Teletraffic Engineering, Technical University of Denmark, 2013.
4 M. Stasiak, M. Glabowski, A. Wisniewski, and P. Zwierzykowski, Modeling and Dimensioning of Mobile Networks: From GSM to LTE, John Wiley & Sons Ltd., 2011.
5 T. Werthmann, H. Grob-Lipski, and M. Proebster, "Multiplexing gains achieved in pools of baseband computation units in 4G cellular networks," in Proc. IEEE PIMRC, 2012.
6 S. Bhaumik et al., "CloudIQ: A framework for processing base stations in a data center," in Proc. ACM MOBICOM, 2012.
7 S. Namba, T. Matsunaka, T. Warabino, S. Kaneko, and Y. Kishi, "Colony-RAN architecture for future cellular network," Future Network Mobile Summit, pp. 1-8, 2012.
8 M. Madhavan, P. Gupta, and M. Chetlur, "Quantifying multiplexing gains in a wireless network cloud," in Proc. IEEE ICC, 2012.
9 J. Liu, S. Zhou, J. Gong, Z. Niu, and S. Xu, "On the statistical multiplexing gain of virtual base station pools," in Proc. IEEE GLOBECOM, 2014.
10 A. Checko, H. Holm, and H. Christiansen, "Optimizing small cell deployment by the use of C-RANs," in Proc. European Wireless, 2014.
11 A. Avramova, H. Christiansen, and V. Iversen, "Cell deployment optimization for cloud radio access networks using teletraffic theory," in Proc. AICT, 2015.
12 "Average Web Page Breaks 1600K," June 2015.
13 V. B. Iversen, "The exact evaluation of multi-service loss systems with access control," Teleteknik, English Ed., vol. 31, pp. 56-61, 1987.
14 X. Cheng, C. Dale, and J. Liu, "Understanding the characteristics of internet short video sharing: Youtube as a case study," arXiv:0707.3670 [cs.NI].
15 J. J. Lee and M. Gupta, "A new traffic model for current user web browsing behavior," Intel Corporation, Tech. Rep. 2007.
16 A. Checko, L. Ellegaard, and M. Berger, "Capacity planning for carrier ethernet LTE backhaul networks," in Proc. IEEE WCNC, 2012.
17 "EVC ethernet services definitions phase 3," Metro Ethernet Forum, Tech. Spec. MEF 6.2, July 2014.
18 "Mobility report," Ericsson„ Tech. Rep. June 2015.
19 A. Checko et al., "Cloud RAN for mobile networks - A technology overview," IEEE Commun. Surv. Tut., vol. 17, no. 1, pp. 405-426, 2015.   DOI
20 J. Wu, Z. Zhang, Y. Hong, and Y. Wen, "Cloud radio access network (CRAN): A primer," IEEE Netw., vol. 29, pp. 35-41, no. 1, Jan. 2015.   DOI
21 D. Wubben et al., "Benefits and impact of cloud computing on 5G signal processing: Flexible centralization through cloud-RAN," IEEE Signal Process. Mag., vol. 31, no. 6, pp. 35-44, Nov. 2014.   DOI
22 "Small cell virtualization functional splits and use cases," Small Cell Forum, Tech. Rep., June 2015.
23 P. Rost et al., "Cloud technologies for flexible 5G radio access networks," IEEE Commun. Mag., vol. 52, no. 5, pp. 68-76, May 2014.
24 "Next Generation Fronthaul Interface," China Mobile Research Institute, Tech. Rep., June 2015.
25 "C-RAN the road towards green RAN," China Mobile Research Institute, Tech. Rep., Oct. 2011.
26 U. Dotsch et al., "Quantitative analysis of split base station processing and determination of advantageous architectures for LTE," Bell Labs Tech. J., vol. 18, pp. 105-128, 2013.   DOI
27 "White paper of next generation fronthaul interface," China Mobile Research Institute, Alcatel-Lucent, Nokia Networks, ZTE Corporation, Broadcom Corporation, Intel China Research Center, Tech. Rep., Oct. 2015.