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Resource Management for Software-Defined Radio Clouds
January/February 2012 (vol. 32 no. 1)
pp. 44-53
Ismael Gomez Miguelez, Universitat Politecnica de Catalunya
Vuk Marojevic, Universitat Politecnica de Catalunya
Antoni Gelonch Bosch, Universitat Politecnica de Catalunya

Software-defined radio (SDR) clouds combine SDR concepts with cloud computing technology for designing and managing future base stations. They provide a scalable solution for the evolution of wireless communications. The authors focus on the resource management implications and propose a hierarchical approach for dynamically managing the real-time computing constraints of wireless communications systems that run on the SDR cloud.

1. A.J. Paulraj et al., "An Overview of MIMO Communications—A Key to Gigabit Wireless," Proc. IEEE, vol. 92, no. 2, 2004, pp. 198-218.
2. X.H. You and X.Q. Gao, "Development of Beyond 3G Techniques and Experiment System: An Introduction to the FuTURE Project," ICT Shaping the World: A Scientific View, Wiley-Blackwell, Nov. 2008.
3. Y. Lin et al., "Wireless Network Cloud: Architecture and System Requirements," IBM J. Research and Development, vol. 54, no. 1, 2010, pp. 1-12.
4. E. Buracchini, "The Software Radio Concept," IEEE Comm., IEEE CS Press, vol. 38, no. 9, 2000, pp. 138-143.
5. I.F. Akyildiz et al., "NeXt Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey," Computer Networks: Int'l J. Computer and Telecommunications Networking, vol. 50, no. 13, 2006, pp. 2127-2159.
6. R. Buyya et al., "Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility," Future Generation Computer Systems, Elsevier Science Publishers, vol. 25, no. 6, 2009, pp. 599-616.
7. J. Guo, F. Liu, and Z. Zhu, "Estimate the Call Duration Distribution Parameters in GSM System Based on K-L Divergence Method," Proc. IEEE Int'l. Conf. Wireless Communications, Networking and Mobile Computing (WiCom 07), IEEE CS Press, 2007, pp. 2988-2991.
8. V. Marojevic, "Computing Resource Management in Software-Defined and Cognitive Radios," doctoral dissertation, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 2009.
9. V. Marojevic, X. Revés, and A. Gelonch, "A Computing Resource Management Framework for Software-Defined Radios," IEEE Trans. Computers, IEEE CS Press, vol. 57, no. 10, 2008, pp. 1399-1412.
10. X. Revés et al., "Software Radios: Unifying the Reconfiguration Process over Heterogeneous Platforms," Eurasip J. Applied Signal Processing, vol. 2005, no. 16, 2005, pp. 2626-2640.
11. N.D. Doulamis et al., "Fair Scheduling Algorithms in Grids," IEEE Trans. Parallel Distributed Systems, IEEE CS Press, vol. 18, no. 11, 2007, pp. 1630-1648.

Index Terms:
Scheduling,Real-time distributed,Processor Architectures,Micro-architecture implementation considerations,Compilers, Parallel processors, System architectures, integration and modeling, Real-time distributed, Distributed Systems,Signal processing systems.
Citation:
Ismael Gomez Miguelez, Vuk Marojevic, Antoni Gelonch Bosch, "Resource Management for Software-Defined Radio Clouds," IEEE Micro, vol. 32, no. 1, pp. 44-53, Jan.-Feb. 2012, doi:10.1109/MM.2011.81
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