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Omer Bilgen

dblp:205/3238 · DBLP profile ↗
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6ranked-venue papers
6as first author
1since 2021 · last 2023
0000-0001-6898-6337ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 3 first-authorTheory of computation · 2 · 2 first-author · 1 since 2021Computer networks · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 88% Information theory · 12%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Distributed systems · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
peer-to-peer systems
0.722020
A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020
A new stable peer-to-peer protocol with non-persistent peers · INFOCOM 2017
Coding theory › source coding
multiterminal source coding
0.712023
Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023
Coding theory
source coding
0.712023
Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023
Distributed systems › peer-to-peer systems
missing piece syndrome
0.412020
A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020
Distributed systems › peer-to-peer systems › peer-to-peer architecture
peer-to-peer protocols
0.412020
A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol · IEEE Trans. Inf. Theory 2020
Coding theory › source coding › gaussian source
quadratic gaussian source coding
0.212023
Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023
Information theory › network information theory
rate region
0.212023
Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity · IEEE Trans. Inf. Theory 2023

Methods — techniques the papers use, named apart from their topics

simulation · 0.7markov chain modeling · 0.7high-resolution analysis · 0.7lyapunov potential function · 0.4lyapunov analysis · 0.3
YearPublicationVenuePosition
2023 Rate Region of the One-Help-Two Quadratic Gaussian Source-Coding Problem With Markovity
abstract
We study the quadratic Gaussian one-help-two source-coding problem with Markovity, in which three encoders separately encode the components of a memoryless vector-Gaussian source that form a Markov chain and the central decoder aims to reproduce the first and the second components in the chain subject to individual mean-squared distortion constraints. We determine the rate region under a high-resolution assumption for the middle source.
Omer Bilgen, Aaron B. Wagner
IEEE Trans. Inf. Theory1
2020 Gaussian Multiterminal Source-Coding with Markovity: An Efficiently-Computable Outer Bound
Omer Bilgen, Aaron B. Wagner
ISIT1
2020 A New Stable Peer-to-Peer Protocol With Non-Persistent Peers: The Group Suppression Protocol
abstract
Recent studies have suggested that the stability of peer-to-peer networks may rely on persistent peers, who dwell on the network after they obtain the entire file. In the absence of such peers, one piece becomes extremely rare in the network, which leads to instability. Technological developments, however, are poised to reduce the incidence of persistent peers, giving rise to a need for a protocol that guarantees stability with non-persistent peers. We propose a novel peer-to-peer protocol, the group suppression protocol, to ensure the stability of peer-to-peer networks under the scenario that all the peers adopt non-persistent behavior. Using a suitable Lyapunov potential function, the group suppression protocol is proven to be stable when the file is broken into two pieces, and detailed experiments demonstrate the stability of the protocol for arbitrary number of pieces. We define and simulate a decentralized version of this protocol for practical applications. Straightforward incorporation of the group suppression protocol into BitTorrent while retaining most of BitTorrent's core mechanisms is also presented. Subsequent simulations show that under certain assumptions, BitTorrent with the official protocol cannot escape from the missing piece syndrome, but BitTorrent with group suppression does.
Omer Bilgen, Aaron B. Wagner
IEEE Trans. Inf. Theory1
2019 A New Proof for the Quadratic Gaussian Two-Encoder Source-Coding Problem
abstract
This paper revisits the quadratic Gaussian two-encoder source-coding problem, for which a Gaussian quantize-and-bin scheme, also known as the Berger-Tung scheme, is known to achieve the entire rate region. We present a new proof of the impossibility half of the rate-region optimality result that is arguably more direct.
Omer Bilgen, Aaron B. Wagner
ISIT1
2018 The Quadratic Gaussian One-Help-Two Source-Coding Problem with Markovity
abstract
We consider the quadratic Gaussian one-help-two source-coding problem with Markovity, in which three encoders separately encode the components of a memoryless vector-Gaussian source that form a Markov chain and the central decoder aims to reproduce the first and the second components in the chain subject to individual distortion constraints. For this problem, we determine the minimum sum rate of the first and the second encoder given the distortion constraints and the rate of the third encoder. In particular, a simple scheme consisting of vector quantization followed by Slepian-Wolf binning achieves this minimum sum-rate. The proof of the converse draws from the quadratic Gaussian two-encoder source-coding problem, the Gaussian scalar-help-vector source-coding problem, and the Gaussian many-help-one source-coding problem.
Omer Bilgen, Aaron B. Wagner
ISIT1
2017 A new stable peer-to-peer protocol with non-persistent peers
abstract
Recent studies have suggested that the stability of peer-to-peer networks may rely on persistent peers, who dwell on the network after they obtain the entire file. In the absence of such peers, one piece becomes extremely rare in the network, which leads to instability. Technological developments, however, are poised to reduce the incidence of persistent peers, giving rise to a need for a protocol that guarantees stability with nonpersistent peers. We propose a novel peer-to-peer protocol, the group suppression protocol, to ensure the stability of peer-to-peer networks under the scenario that all the peers adopt non-persistent behavior. Using a suitable Lyapunov potential function, the group suppression protocol is proven to be stable when the file is broken into two pieces, and detailed experiments demonstrate the stability of the protocol for arbitrary number of pieces. Straightforward incorporation of the group suppression protocol into BitTorrent while retaining most of BitTorrent's core mechanisms is also presented. Subsequent simulations show that under certain assumptions, BitTorrent with the official protocol cannot escape from the missing piece syndrome, but BitTorrent with group suppression does.
Omer Bilgen, Aaron B. Wagner
INFOCOM1