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This paper analyzes the computing resource
management implications of SDR base stations implemented
as SDR clouds. SDR clouds describe distributed
antennas that connect to a data center for digital signal
processing. The data center employs cloud computing
technology, providing a virtualized computing resource
pool. The service area of a single SDR cloud may be a
metropolitan area with a high user density. Hence, the data
center will execute thousands of SDR applications in parallel,
providing wireless communications services to several
radio cells. Whenever a user initiates or terminates a
wireless communications session, computing resources
need to be allocated or deallocated in real time. We
therefore propose a hierarchical resource management.
This paper justifies such an approach and analyzes different
resource management strategies. The results indicate the
need for strategies that can dynamically adapt to the given
user traffic distribution.
CitationGómez, I., Gilabert, Pere L., Montoro, G., Gelonch, A.J., Marojevic, V. Resource management implications and strategies for SDR clouds. "Analog integrated circuits and signal processing", 19 Setembre 2012, vol. 73, núm. 2, p. 473-482.
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