@inproceedings {Simula.ND.205,
	title = {Architecture and Performance of a Practical IP Fast Reroute Implementation},
	journal = {IEEE Global Communications Conference (GLOBECOM 2008)},
	year = {2008},
	month = {December},
	pages = {1-6},
	publisher = {IEEE},
	type = {Conference},
	abstract = {IP Fast Reroute (IP FRR) denominates a set of methods and technologies for proactive, local recovery in IP networks. It has received much attention recently, in the research community and the IETF. Several proposals for IP FRR have been published by independent research groups, and main properties and trade-offs are understood. However, only simulation-based and analytical evaluations are known to be performed so far. In this paper we present the architecture and evaluate performance of the first known practical implementation of IP FRR. The arcitecture features a modular approach consisting of an IP FRR framework and exchangeable backup path calculation modules. The performance evaluation is based on an implementation of Multiple Routing Configurations. The implementation provide throughput that closely matches the achieved performance during normal operation.},
	isbn = {978-1-4244-2324-8},
	author = {Ole Kristoffer {Apeland} and Cicic, Tarik},
	editor = {Richard W. {Miller}}
}
@inproceedings {Simula.ND.147,
	title = {QoS-Aware Channel Selection in Cognitive Radio Networks: a Game-Theoretic Approach},
	journal = {IEEE Global Communications Conference (GLOBECOM 2008)},
	year = {2008},
	pages = {1-7},
	publisher = {IEEE},
	type = {Conference},
	abstract = {Abstract-In a cognitive radio wireless network, each node can sense and opportunistically access the under-utilized spectrums in the primary system. Since the unoccupied spectrum is locationdependent and time-dependent, the available spectrums in each node are different.With this spectrum heterogeneity and different Quality-of-Service (QoS) requirement, different node may have different preference in using a particular channel to communicate with its neighboring nodes. In this paper, we formulate this channel selection problem using a cooperative game theoretical approach such that the QoS requirement of each node is guaranteed and the total throughput is maximized. To further improve the performance, a learning negotiation mechanism is introduced. The key motivation is to derive new mixed strategies of the nodes with the reference to the historical profiles of all selected strategies in the past. Simulation results are presented to show the fast convergence of the game, the high efficiency of the learning mechanism, and the effect of mobility.},
	isbn = {978-1-4244-2324-8},
	doi = {10.1109/GLOCOM.2008.ECP.934},
	author = {Hai Ngoc {Pham} and Xiang, Jie and Zhang, Yan and Skeie, Tor},
	editor = {Richard W. {Miller}}
}
