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Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization
TLDR
We consider a distributed multi-agent network system where the goal is to minimize a sum of convex objective functions of the agents subject to a common convex constraint set. Expand
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A sequential procedure for multihypothesis testing
TLDR
The sequential testing of more than two hypotheses has important applications in direct sequence spread spectrum signal acquisition, multiple-resolution-element radar, and other areas. Expand
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Gaussian Interference Networks: Sum Capacity in the Low-Interference Regime and New Outer Bounds on the Capacity Region
TLDR
We show that treating interference as noise achieves the sum capacity of the two-user Gaussian interference channel in a low-interference regime, where the interference parameters are below certain thresholds. Expand
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Gaussian interference networks: sum capacity in the low-interference regime and new outer bounds on the capacity region
TLDR
We show that treating interference as noise achieves the sum capacity of the two-user Gaussian interference channel in a low-interference regime, where the interference parameters are below certain thresholds. Expand
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Multihypothesis sequential probability ratio tests - Part I: Asymptotic optimality
TLDR
The problem of sequential testing of multiple hypotheses is considered, and two candidate sequential test procedures are studied. Expand
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Cooperative Sensing for Primary Detection in Cognitive Radio
TLDR
We propose a fusion strategy based on a deflection criterion for this problem, which takes into account the correlation between the nodes for fusing the local decisions made at secondary users. Expand
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Incremental Stochastic Subgradient Algorithms for Convex Optimization
TLDR
This paper studies the effect of stochastic errors on two constrained incremental subgradient algorithms. Expand
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Quickest Change Detection
TLDR
In this article we reviewed the state-of-the-art in the theory of quickest change detection. Expand
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Decentralized detection in sensor networks
TLDR
In this paper, we investigate a binary decentralized detection problem in which a network of wireless sensors provides relevant information about the state of nature to a fusion center. Expand
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Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution
TLDR
Resource allocation is investigated for fading relay channels under separate power constraints at the source and relay nodes. Expand
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