Cognitive engine implementation for wireless multicarrier transceivers
Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
Multi-access Management in Heterogeneous Networks
Wireless Personal Communications: An International Journal
Development of a case-based reasoning cognitive engine for IEEE 802.22 WRAN applications
ACM SIGMOBILE Mobile Computing and Communications Review
IEEE Spectrum
IEEE Wireless Communications
Applications of Machine Learning to Cognitive Radio Networks
IEEE Wireless Communications
Full length article: Empirical time and frequency domain models of spectrum use
Physical Communication
Hi-index | 0.00 |
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.