Recent results establish the optimality of interference alignment to approach the Shannon
capacity of interference networks at high SNR. However, the extent to which interference can …

Recent results establish the optimality of interference alignment to approach the Shannon
capacity of interference networks at high SNR. However, the extent to which interference can …

Current data networking technology limits a network's ability to adapt, often resulting in sub-
optimal performance. Limited in state, scope, and response mechanisms, the network …

The application of mathematical analysis to wireless networks has met with limited success,
due to the complexity of mobility and traffic models, coupled with the dynamic topology and …

The application of mathematical analysis to the study of wireless ad hoc networks has met
with limited success due to the complexity of mobility and traffic models, the dynamic …

In this paper we propose a unified framework, based on the emergent potential games to
deal with a variety of network resource allocation problems. We generalize the existing …

More than a dozen Wireless@ Virginia Tech faculty are working to address the broad
research agenda of cognitive radio and cognitive networks. Our core research team spans …

There is a need for new spectrum access protocols that are opportunistic, flexible and
efficient, yet fair. Game theory provides a framework for analyzing spectrum access, a …

In this paper, the problem of distributed dynamic frequency allocation is considered for a
canonical communication network, which spans several networks such as cognitive radio …

Recent studies on spectrum usage reveal poor utilization, both spatially and temporally.
Opportunistic use of licensed spectrum while limiting interference to primary users can …