Dynamic provisioning and allocation in Cloud Radio Access Networks (C-RANs)

The Radio Access Network (RAN) is the most important part of a cellular wireless network. However, current cellular architectures have several disadvantages: they are not compatible with today's users' data-rate requests and do not leverage recent wireless enhancement techniques to achieve those data rates. Cloud Radio Access Network (C-RAN) is a new paradigm for broadband wireless access that provides a higher degree of cooperation and communication among Base Stations (BSs), in which all the BS computational resources are pooled in a central location, e.g., a set of physical servers in a datacenter. C-RAN represents a clean-slate design and allows for dynamic reconfiguration of computing and spectrum resources.In this article, first explanations are provided on how this transformative paradigm can help overcome current cellular network limitations; then, its potential advantages to enable and support cooperative techniques like macro-diversity and collaborative spatial multiplexing are discussed. In addition, innovative C-RAN-based techniques to decrease the bandwidth-limiting Inter-Cell Interference (ICI) problem are proposed. Last, but not least, novel provisioning and allocation methods of Virtual Base Stations (VBSs) in the Base Band Unit (BBU) are proposed, and their pros and cons thoroughly discussed.

[1]  Yan Wang,et al.  Cooperative communication technologies for LTE-advanced , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[2]  Daniel N. Aloi,et al.  Signal processing choices and challenges for SDR in Telematics , 2007, 2007 9th International Symposium on Signal Processing and Its Applications.

[3]  Stefan Parkvall,et al.  LTE: the evolution of mobile broadband , 2009, IEEE Communications Magazine.

[4]  J. G. Andrews,et al.  Interference cancellation for cellular systems: a contemporary overview , 2005, IEEE Wireless Communications.

[5]  Satoshi Nagata,et al.  Coordinated multipoint transmission and reception in LTE-advanced: deployment scenarios and operational challenges , 2012, IEEE Communications Magazine.

[6]  Dario Pompili,et al.  VMAP: Proactive thermal-aware virtual machine allocation in HPC cloud datacenters , 2012, 2012 19th International Conference on High Performance Computing.

[7]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[8]  Long Bao Le,et al.  Energy-efficient coordinated transmission for Cloud-RANs: Algorithm design and trade-off , 2014, 2014 48th Annual Conference on Information Sciences and Systems (CISS).

[9]  Wei Yu,et al.  Hybrid compression and message-sharing strategy for the downlink cloud radio-access network , 2014, 2014 Information Theory and Applications Workshop (ITA).

[10]  Shivkumar Kalyanaraman,et al.  Unlocking wireless performance with co-operation in co-located base station pools , 2010, 2010 Second International Conference on COMmunication Systems and NETworks (COMSNETS 2010).

[11]  Joseph Mitola,et al.  Technical challenges in the globalization of software radio , 1999, IEEE Commun. Mag..

[12]  Srikanth V. Krishnamurthy,et al.  FluidNet: A Flexible Cloud-Based Radio Access Network for Small Cells , 2013, IEEE/ACM Transactions on Networking.

[13]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[14]  Wenhua Jiao,et al.  Fast Handover Scheme for Real-Time Applications in Mobile WiMAX , 2007, 2007 IEEE International Conference on Communications.

[15]  Qing Wang,et al.  Design of BS transceiver for IEEE 802.16E OFDMA mode , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[16]  Qing Wang,et al.  Virtual base station pool: towards a wireless network cloud for radio access networks , 2011, CF '11.

[17]  Gabriel Montoro,et al.  Resource management implications and strategies for SDR clouds , 2012 .

[18]  Takuro Sato,et al.  Performance of handoff algorithm based on distance and RSSI measurements , 2002, IEEE Trans. Veh. Technol..

[19]  Dario Pompili,et al.  "Cocktail Party in the Cloud": Blind Source Separation for Co-Operative Cellular Communication in Cloud RAN , 2014, 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems.

[20]  Ieee Microwave Theory,et al.  Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems — Amendment for Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands , 2003 .

[21]  Bhaskar Ramamurthi Cutting edge at the cell edge: Co-channel interference mitigation in emerging broadband wireless systems , 2009, 2009 First International Communication Systems and Networks and Workshops.

[22]  Vikram Srinivasan,et al.  CloudIQ: a framework for processing base stations in a data center , 2012, Mobicom '12.

[23]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[24]  Qing Wang,et al.  Wireless network cloud: Architecture and system requirements , 2010, IBM J. Res. Dev..

[25]  Malolan Chetlur,et al.  Quantifying multiplexing gains in a Wireless Network Cloud , 2012, 2012 IEEE International Conference on Communications (ICC).

[26]  Yuanming Shi,et al.  Group Sparse Beamforming for Green Cloud-RAN , 2013, IEEE Transactions on Wireless Communications.

[27]  Jeffrey G. Andrews,et al.  Analytical Evaluation of Fractional Frequency Reuse for OFDMA Cellular Networks , 2011, IEEE Transactions on Wireless Communications.