Steven Corroy

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In wireless one-hop broadcast communications, each node broadcasts messages to inform all neighbors within an intended communication range. Clearly, the packet transmission of the various nodes might interfere with each other due to the overlapping communication ranges. IEEE 802.11 Distributed Coordination Function (DCF) provides some basic mechanisms for(More)
This paper considers the problem of associating users, in an heterogeneous network, to either a macro node or a pico node within a tightly coordinated cell cluster. We introduce a new theoretical framework to model this problem for the downlink and derive upper bounds for achievable sum rate and minimum rate using convex optimization. Further we propose(More)
Consider the estimation of an unknown parameter vector in a linear measurement model. Centralized sensor selection consists in selecting a set of ks sensor measurements, from a total number of m potential measurements. The performance of the corresponding selection is measured by the volume of an estimation error covariance matrix. In this work, we consider(More)
This paper considers the problem of sensing a sparsely occupied wideband spectrum utilizing a set of geographically distributed sensing nodes as well as a fusion center. Exchange of measurement data between the sensing nodes and the fusion center takes up parts of the precious radio spectrum and thus, methods for diminishing the minimum amount of(More)
This paper presents a framework for studying amplify-and-forward Gaussian relay networks and optimizing the strategy of source/sink pairs. A typical communication scenario is that many pairs of users try to exchange information over the same network. Changing the strategy of the relays, in such a network, for each communication might be an overwhelming(More)
This paper considers the problem of applying compressed sensing ideas to relay networks in order to increase the network throughput. We present a new method to perform forwarding which, when the signals transmitted by several sources are jointly sparse, enables to send a vector of dimension higher than the min-cut of the network. First, the jointly sparse(More)