Artificial intelligence
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
Wcdma for Umts
QoS Tuning and Resource Sharing for UMTS WCDMA Multiservice Mobile
IEEE Transactions on Mobile Computing
On the performance characteristics of WLANs: revisited
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Improved access point selection
Proceedings of the 4th international conference on Mobile systems, applications and services
Using smart triggers for improved user performance in 802.11 wireless networks
Proceedings of the 4th international conference on Mobile systems, applications and services
The need for cross-layer information in access point selection algorithms
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
ns2-MIRACLE: a modular framework for multi-technology and cross-layer support in network simulator 2
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
A framework for dynamic SLA-based QoS control for UMTS
IEEE Wireless Communications
A survey of recent advances in fuzzy logic in telecommunications networks and new challenges
IEEE Transactions on Fuzzy Systems
Supporting packet-data QoS in next generation cellular networks
IEEE Communications Magazine
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
Fuzzy logic for cross-layer optimization in cognitive radio networks
IEEE Communications Magazine
Quality-of-service provisioning system for multimedia transmission in IEEE 802.11 wireless LANs
IEEE Journal on Selected Areas in Communications
Reconfiguration Decision Making Based on Ant Colony Optimization in Cognitive Radio Network
Wireless Personal Communications: An International Journal
| Hi-index | 0.01 |
We consider a scenario in which wireless users want to connect to the Internet using one of several available network access opportunities, possibly using different radio technologies. We propose a distributed cognitive network access scheme with the aim of providing the best quality of service with respect to both radio link and core network performance and user application requirements. Knowledge of the service quality experienced by active connections is shared, and prospective users use Fuzzy Logic techniques to process cross-layer communication quality metrics and to estimate the expected transport-layer performance. These estimates are compared to the Quality of Service requirements of the application using Fuzzy Decision Making techniques to choose the most suitable access opportunity. This scheme naturally fits into the recently proposed Cognitive Network paradigm in that it defines a cognition process leveraging on end-to-end and cross-layer performance evaluation techniques as well as information sharing among users; moreover, it offers a significant amount of flexibility and extensibility, thanks to its modularity and its independence from the particular technology and application being used. The proposed scheme is shown to outperform state-of-the-art solutions in several multitechnology and multi-application scenarios, while at the same time achieving similar performance to application-specific omniscient schemes that we introduce in this paper as a benchmark.