Rate-Based Active Queue Management with Priority Classes for Better Video Transmission
ISCC '02 Proceedings of the Seventh International Symposium on Computers and Communications (ISCC'02)
Proceedings of first ACM/IEEE international workshop on Mobility in the evolving internet architecture
Achievable rates and scaling laws for cognitive radio channels
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
CRAHNs: Cognitive radio ad hoc networks
Ad Hoc Networks
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
The mobile data link (MDL) of the joint tactical radio system wideband networking waveform
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Hi-index | 0.00 |
To fully utilize radio resources by intelligently filling in as much radio spectrum gaps as possible, the concept of cognitive radio network has been well accepted. A challenge inherent in this technology is how to build a mechanism that can allocate resource by learning and adapting to a specific radio transmission environment. In this paper, we propose a cognitive resource management scheme that is specifically designed for allocating radio resource in a cognitive radio ad hoc network (CRAHN) environment. The proposal applies cognitive processes in a cross-layer design, which acquires knowledge from the physical layer, the medium access control (MAC) layer, and application layer. It intelligently allocates resources according to traffic demands, traffic priorities, link capabilities, and link qualities.