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20082026
most citedOptimal Energy Allocation for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgments and Energy Harvesting Constraints

82 citations · 166 across the 43 of their papers we have counts for

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14 papers · 1 filter

cs.IT2019

A Game-Theoretic Approach to Covert Communications

Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey

This paper considers a game-theoretic formulation of the covert communications problem with finite blocklength, where the transmitter (Alice) can randomly vary her transmit power i…

cs.IT2017

A Decentralized Optimization Framework for Energy Harvesting Devices

Alessandro Biason, Subhrakanti Dey, Michele Zorzi

Designing decentralized policies for wireless communication networks is a crucial problem, which has only been partially solved in the literature so far. In this paper, we propose…

cs.IT2016

Decentralized Transmission Policies for Energy Harvesting Devices

Alessandro Biason, Subhrakanti Dey, Michele Zorzi

The problem of finding decentralized transmission policies in a wireless communication network with energy harvesting constraints is formulated and solved using the decentralized M…

cs.IT2016

Sensing Throughput Optimization in Fading Cognitive Multiple Access Channels With Energy Harvesting Secondary Transmitters

Sinchan Biswas, Amirpasha Shirazinia, Subhrakanti Dey

The paper investigates the problem of maximizing expected sum throughput in a fading multiple access cognitive radio network when secondary user (SU) transmitters have energy harve…

cs.IT2014★ 6 cited

Power-Constrained Sparse Gaussian Linear Dimensionality Reduction over Noisy Channels

Amirpasha Shirazinia, Subhrakanti Dey

In this paper, we investigate power-constrained sensing matrix design in a sparse Gaussian linear dimensionality reduction framework. Our study is carried out in a single--terminal…

cs.IT2014

Optimized Compressed Sensing Matrix Design for Noisy Communication Channels

Amirpasha Shirazinia, Subhrakanti Dey

We investigate a power-constrained sensing matrix design problem for a compressed sensing framework. We adopt a mean square error (MSE) performance criterion for sparse source reco…