Abstract
A mobile cloud is a collaborative cluster of wireless devices exploiting their multiple air interfaces. It operates cognitively, i.e, collects information from the operating environment, from the results of its own operations etc., and then acts based on observations in order to fulfill the needs of the users. A cognitive engine is required for decision making and learning in a mobile cloud to efficiently exploit the available resources. This paper discusses the development and design of a cognitive engine for the mobile cloud scenario and investigates the practical implemention aspects. Moreover, simulation results show the advantages of learning in this kind of scenario.
Original language | English |
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Title of host publication | CogART '11 |
Subtitle of host publication | Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management |
DOIs | |
Publication status | Published - 2011 |
MoE publication type | Not Eligible |
Event | 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 - Barcelona, Spain Duration: 26 Oct 2011 → 29 Oct 2011 Conference number: 4 |
Conference
Conference | 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 |
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Abbreviated title | CogART'11 |
Country/Territory | Spain |
City | Barcelona |
Period | 26/10/11 → 29/10/11 |
Keywords
- resource management
- cognitive radio
- dynamic spectrum access