Abstract
In the near future many radio access technologies (RATs) will coexist to offer a vast variety of user services at different quality levels. Software-defined radio (SDR) facilitates to flexibly choose the RAT by means of a software-reconfiguration of the SDR terminal. Cognitive radio automates this process, being an ambient aware, intelligent radio resource management system. We extend its scope in that we introduce the cognitive computing resource management. Our cognitive radio system scans the computing environment, decides whether to reconfigure a candidate SDR mobile terminal or not, and learns from the effects of these decisions. The simulations, which model a simplified though realistic case study, show that two simple computing resource management algorithms outperform an algorithm that is unaware of the present computing environment. The paper concludes that a cognitive computing resource management is necessary for providing a ubiquitous wireless access where the user demands are satisfied as a function of the currently available computing resources of their terminals.
This work has been supported by the DURSI of the Catalonian Government and the CYCIT (Spanish National Science Council) under grants TIC2003-08609 and TEC2006-09109, which is partially financed from the European Community through the FEDER program.
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Marojevic, V., Vucevic, N., Revés, X., Gelonch, A. (2007). Cognitive Computing Resource Management for a Ubiquitous Wireless Access. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_79
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DOI: https://doi.org/10.1007/978-3-540-73549-6_79
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