A resource allocation framework is presented for spectrum underlay in cognitive radio networks. We consider both interference constraints for primary users and quality of service (...
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Varying interference levels make broadcasting an unreliable operation in low-power wireless networks. Many routing and resource discovery protocols depend on flooding (repeated pe...
Fred Stann, John S. Heidemann, Rajesh Shroff, Muha...
We propose Adaptive Multi-level ECN, a new TCP congestion scheme as an extension to Multi-level Explicit Congestion Notification (MECN). MECN algo- rithm allows network operators t...
The primary feature of cognitive radios for wireless communication systems is the capability to optimize the relevant communication parameters given a dynamic wireless channel env...