Game Theory and Decision Theory in Agent-Based Systems
Game Theory and Decision Theory in Agent-Based Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
A knowledge plane for the internet
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Utility Functions in Autonomic Systems
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
A Vertical Handover Decision Algorithm Based on Fuzzy Control Theory
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
Design and implementation of a context-aware decision algorithm for heterogeneous networks
Proceedings of the 2006 ACM symposium on Applied computing
Adaptive Vertical Mobility Decision in Heterogeneous Networks
ICWMC '07 Proceedings of the Third International Conference on Wireless and Mobile Communications
Multiservice vertical handoff decision algorithms
EURASIP Journal on Wireless Communications and Networking
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
| Hi-index | 0.00 |
Wireless communication network is evolving towards more heterogeneous with rapid emergence of new radio technologies. 60GHz radio relying on line-of-sight (LOS) transmission is one of the promising solutions to support in-door high quality multimedia applications. Due to the vulnerable nature of LOS links, vertical handover, by switching the mobile device to the backup WLAN system from 60GHz radio, is critical to support a seamless session. However vertical handover for short LOS blocking events degrade perceived quality of the media due to frequent switching. In this paper, we propose a cognitive approach to solve incertitude during vertical handover. We first present an overview of our proposed cognitive network architecture, and further under this framework we introduce and examine via simulations a decision algorithm based on decision theory. Our algorithm takes into account multiple factors such as user preference, network situation, device capability and effect of environment. We show its ability to effectively make handover decision in uncertain situations. The method and results herein are applicable, in general, to any other situation where such a decision is to be made.