Michail Mylonakis

dblp:204/4331 · DBLP profile ↗
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4ranked-venue papers
3as first author
1since 2021 · last 2021
—ORCID · none

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Theory of computation · 3 · 3 first-author · 1 since 2021Security and privacy · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2021 Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder
abstract
We generalize the problem of controlling the interference created to an external observer while communicating over a discrete memoryless channel (DMC) which was studied in [1]. In particular, we consider the scenario where the transmission is established over a compound DMC channel with unknown state at both the encoder and the decoder. Depending on the exact state s of the channel, we ask for a different level of average precision Δson the establishment of the interference coordination with the external observer. For this setup, we fully characterize the capacity region.
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
ITW1
2020 Remote Empirical Coordination
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
ISITA1
2019 Empirical Coordination Subject to a Fidelity Criterion
abstract
We study the problem of empirical coordination subject to a fidelity criterion for a general set-up. We prove a result which indicates a strong connection between our frame-work and the framework of empirical coordination developed in [1]. It turns out that when we design codes that achieve empirical coordination according to a given distribution and subject to the fidelity criterion, it is sufficient to consider codes that produce actions of the same joint type for a class of types which is close enough to our desired distribution is some sense.
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
ITW1
2017 Asymptotic capacity results for MIMO wireless optical communication
abstract
This paper provides several asymptotic capacity results for the multiple-input multiple-output free-space optical intensity channel in the regime of high signal-to-noise ratio (SNR). For the case where the channel matrix has full column rank, the asymptotic capacity is derived assuming a peak-power constraint on each transmit antenna, or an average-power constraint on the total power across all transmit antennas, or both. For multiple-input and single-output channels, the asymptotic high-SNR capacity is derived when either only the total average power is constrained, or only the per-antenna peak power is constrained, or both but with the average-power constraint being sufficiently loose.
Stefan M. Moser, Michail Mylonakis, Ligong Wang 0002, Michèle Wigger
ISIT2