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20072023
most citedAn Algorithm for Global Maximization of Secrecy Rates in Gaussian MIMO Wiretap Channels

48 citations · 296 across the 40 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

cs.IT2016

Feedback Does Not Increase the Capacity of Compound Channels with Additive Noise

Sergey Loyka, Charalambos D. Charalambous

A discrete compound channel with memory is considered, where no stationarity, ergodicity or information stability is required, and where the uncertainty set can be arbitrary. When…

cs.IT2016

The Capacity of Gaussian MIMO Channels Under Total and Per-Antenna Power Constraints

S. Loyka

The capacity of a fixed Gaussian multiple-input multiple-output (MIMO) channel and the optimal transmission strategy under the total power (TP) constraint and full channel state in…

cs.IT2016

Optimal Signaling for Secure Communications over Gaussian MIMO Wiretap Channels

Sergey Loyka, Charalambos D. Charalambous

Optimal signalling over the Gaussian MIMO wire-tap channel is studied under the total transmit power constraint. A closed-form solution for an optimal transmit covariance matrix is…

cs.IT2016★ 10 cited

Rank-Deficient Solutions for Optimal Signaling over Wiretap MIMO Channels

Sergey Loyka, Charalambos D. Charalambous

Capacity-achieving signaling strategies for the Gaussian wiretap MIMO channel are investigated without the degradedness assumption. In addition to known solutions, a number of new…

cs.IT2016

A General Formula for Compound Channel Capacity

Sergey Loyka, Charalambos D. Charalambous

A general formula for the capacity of arbitrary compound channels with the receiver channel state information is obtained using the information density approach. No assumptions of…

cs.IT2016★ 7 cited

Capacity Achieving Distributions & Information Lossless Randomized Strategies for Feedback Channels with Memory: The LQG Theory of Directed Information-Part II

Charalambos D. Charalambous, Christos K. Kourtellaris, Sergey Loyka

A methodology is developed to realized optimal channel input conditional distributions, which maximize the finite-time horizon directed information, for channels with memory and fe…

cs.IT2016

Optimal Estimation via Nonanticipative Rate Distortion Function and Applications to Time-Varying Gauss-Markov Processes

Photios A. Stavrou, Themistoklis Charalambous, Charalambos D. Charalambous +1

In this paper, we develop {finite-time horizon} causal filters using the nonanticipative rate distortion theory. We apply the {developed} theory to {design optimal filters for} tim…