Abstract
In this paper, we take an overall look at key technical challenges in the evolution of the radio access network (RAN) architecture towards Cloud RAN and solutions to overcome them. To address fronthaul limitations, we examine the implications and tradeoffs enabled by functional splits on fronthaul needs, system performance, and centralization scale. We examine the architecture of algorithms for multi-cell coordination and implications in a Cloud RAN environment. To maximize the use of general-purpose processors (GPP) and operating systems such as Linux for Cloud RAN, we propose methods of achieving real-time performance suitable for RAN functions. To enable right-sizing the amount of compute used for various RAN functions based on the workload, we propose methods of pooling and elastic scaling for RAN functions that exploit the fact that certain RAN functions perform per-user operations while others perform per-cell operations. Cloud RAN also aims to use cloud management technologies such as virtualized infrastructure management (VIM) and orchestration for automating the instantiation and scaling of RAN functions. We identify special needs for RAN arising from real-time constraints and a mix of GPP and non-GPP hardware. In the evolution towards 5G, we propose the use of Cloud-RAN-based multi-connectivity anchoring to address processing bottlenecks in a scalable manner. We identify opportunities for optimization across RAN and other network layers enabled by the distributed edge cloud architecture.
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References
Cisco, “Cisco VNI Global Mobile Data Traffic Forecast 2014–2019,” Online at http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html
Checko A et al (2015) "Cloud RAN for Mobile Networks - A Technology Overview,” IEEE Comm. Surveys and Tutorials, Vol. 17, No. 1, First Quarter
Rost P et al (2014) Cloud Technologies for Flexible 5G radio access networks. IEEE Comm Mag 52(5):68–76
CPRI, “Common Public Radio Interface (CPRI): Interface Specification,” version 6.1, July 2014. Online at http://www.cpri.info
OBSAI, “Reference Point 3 Specification,” version 4.2. Online at http://www.obsai.com
NGMN Alliance, "Further Studies on Critical C-RAN Technologies," Version 1.0, March 2015. Online at https://www.ngmn.org/uploads/media/NGMN_RANEV_D2_Further_Study_on_Critical_C-RAN_Technologes_v1.0.pdf
Gulati S et al (2016) "Performance Analysis of Centralized RAN Deployment with Non-ideal fronthaul in LTE-Advanced Networks," in Proc. IEEE VTC-Spring
Agrawal R et al (2016) “Architecture Principles for Cloud RAN,” in Proc. IEEE VTC-Spring
3GPP, “Coordinated Multi-Point Operation for LTE Physical Layer Aspects (Release 11),” TR36.819, v11.2.0, Sept. 2013
Lee D et al (2012) “Coordinated Multipoint Transmission and Reception in LTE-Advanced: Deployment Scenarios and Operational Challenges,” IEEE Comm. Mag., pp. 148–155
Gulati S et al (2015) “Performance Analysis of Distributed Multi-cell Coordinated Scheduler,” in Proc. IEEE VTC-Fall
Pengoria D et al (2015) “Performance of Co-Operative Uplink Reception with Non-Ideal Backhaul,” in Proc. IEEE VTC Spring
Agrawal R et al (2014) “Dynamic Point Selection for LTE-Advanced: Algorithms and Performance,” in Proc. IEEE WCNC
3GPP, “X2 Application Protocol (X2-AP) Release 12,” TS 36.423, v12.7.0, Sept. 2015
Agrawal R et al (2014) “Centralized and Decentralized Coordinated Scheduling with Muting,” in Proc. IEEE VTC Spring
Open Event Machine Development Team, “Open Event Machine: An event driven processing runtime for multicore,” Online at http://sourceforge.net/projects/eventmachine
DPDK development team, “Data Plane Development Kit,” Online at http://www.dpdk.org
ETSI, “Network Functions Virtualization (NFV): Architectural Framework,” ETSI GS NFV 002 v1.1.1, Oct. 2013. Online at http://www.etsi.org/deliver/etsi_gs/nfv/001_099/002/01.01.01_60/gs_nfv002v010101p.pdf
3GPP, “E-UTRAN: Overall Description; Stage 2 (Release 13),” TS36.300, v13.4.0, June 2016
Michalopoulos D et al (2016) “User-plane multi-connectivity aspects in 5G,” in Proc. 23rd Int. Conf. Telecom. (ICT)
Intel, “Intel Advanced Encryption Standard Instructions (AES-NI),” Available online at https://software.intel.com/en-us/articles/intel-advanced-encryption-standard-instructions-aes-ni
ETSI, “Mobile Edge Computing (MEC): Framework and Reference Architecture,” ETSI GS MEC 003, v1.1.1, March 2016
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The authors would like to acknowledge detailed technical discussions with many colleagues in Nokia, as well as with wireless network operators in several countries.
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Agrawal, R., Bedekar, A., Kolding, T. et al. Cloud RAN challenges and solutions. Ann. Telecommun. 72, 387–400 (2017). https://doi.org/10.1007/s12243-017-0584-5
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DOI: https://doi.org/10.1007/s12243-017-0584-5