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- V. Sreekanth Annapureddy, Venugopal V. Veeravalli
- IEEE Transactions on Information Theory
- 2008

Establishing the capacity region of a Gaussian interference network is an open problem in information theory. Recent progress on this problem has led to the characterization of the capacity region of a general two-user Gaussian interference channel within one bit. In this paper, we develop new, improved outer bounds on the capacity region. Using these… (More)

- S. Sundhar Ram, Angelia Nedic, Venugopal V. Veeravalli
- J. Optimization Theory and Applications
- 2010

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. Each agent maintains an iterate sequence and communicates the iterates to its neighbors. Then, each agent combines weighted averages of the received iterates with its own iterate, and… (More)

The optimal detection procedure for detecting changes in independent and identically distributed (i.i.d.) sequences in a Bayesian setting was derived by Shiryaev in the 1960s. However, the analysis of the performance of this procedure in terms of the average detection delay and false alarm probability has been an open problem. In this paper, we develop a… (More)

- Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
- IEEE Journal of Selected Topics in Signal…
- 2008

One of the main requirements of cognitive radio systems is the ability to reliably detect the presence of licensed primary transmissions. Previous works on the problem of detection for cognitive radio have suggested the necessity of user cooperation in order to be able to detect at the low signal-to-noise ratios experienced in practical situations. We… (More)

- Jean-François Chamberland, Venugopal V. Veeravalli
- IEEE Trans. Signal Processing
- 2003

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. Each sensor transmits its data over a multiple access channel. Upon reception of the information, the fusion center attempts to accurately reconstruct the state of nature.… (More)

- Yingbin Liang, Venugopal V. Veeravalli
- IEEE Transactions on Information Theory
- 2005

The capacity regions are investigated for two relay broadcast channels (RBCs), where relay links are incorporated into two-user broadcast channels to support user cooperation. In the first channel, the partially cooperative RBC, only one user in the system acts as a relay. An achievable rate region is derived based on the relay using the decode-and-forward… (More)

- Carl W. Baum, Venugopal V. Veeravalli
- IEEE Trans. Information Theory
- 1994

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. A useful sequential test which we term the MSPRT is studied in this paper. The test is shown to be a generalization of the Sequential Probability Ratio Test. Under Bayesian… (More)

- Yingbin Liang, Venugopal V. Veeravalli
- IEEE Transactions on Information Theory
- 2004

The capacity of noncoherent time-selective Rayleigh-fading channels is studied under various models for the variations in time. The study includes both single-input and single-output (SISO) and multiple-input and multiple-output (MIMO) systems. A block-fading model is first considered where the channel changes correlatively over each block period of length… (More)

- Venugopal V. Veeravalli, Tamer Basar, H. Vincent Poor
- IEEE Trans. Information Theory
- 1993

A decentral ized sequential detection problem is considered in which each one of a set of sensors receives a sequence of observat ions about the hypothesis. Each sensor sends a sequence of summary messages to the fusion center where a sequential test is carried out to determine the true hypothesis. A Bayesian framework for this problem is introduced, and… (More)

- George K. Atia, Venugopal V. Veeravalli, Jason A. Fuemmeler
- IEEE Transactions on Signal Processing
- 2011

In this paper, we study the problem of tracking an object moving randomly through a network of wireless sensors. Our objective is to devise strategies for scheduling the sensors to optimize the tradeoff between tracking performance and energy consumption. We cast the scheduling problem as a partially observable Markov decision process (POMDP), where the… (More)