• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Book chapter
  • Estimation of the mean message delay for transport coding
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Estimation of the mean message delay for transport coding

P. 239–249.
Krouk E., Malichenko D.

This article considers transport coding which is a method for data transmission in a packet switching network. It uses error correcting codes at the transport layer of data network and can help to decrease the mean message delay. Evaluation of the mean message delay is important for estimation of transport coding efficiency. The existing analysis of the mean message delay uses assumption about exponential distribution of packet delay. The network model proposed by L. Kleinrock is considered in this paper. The distribution of the packet delay in Kleinrock network is not proven to be exponential. This work offers calculation of the mean message delay for Kleinrock networks without usage of the assumption about exponential distribution of the packet delay. The accuracy is checked using simulation of the Kleinrock network model. © Springer International Publishing Switzerland 2015.

Language: English
Keywords: Error correcting codeKleinrock modelTransport coding

In book

Smart Innovation, Systems and Technologies
Springer, 2015.
Similar publications
Transport Layer Coding for Latency Reduction in Communication Networks: a Theoretical Basis
Krouk E., Kabatiansky G. A., Sergeev A. et al., , in: 2024 International Scientific and Technical Conference Modern Computer Network Technologies (MoNeTeC).: IEEE, 2024. Ch. 11 P. 1–4.
At the center of the work – the method of decreasing the average message delay based on the error-correcting coding in the transport layer of the network model. The work estimates the gain of transport coding for of average and maximum latency reduction. The article starts with a detailed description of the theoretical network model ...
Added: December 12, 2024
Successive Cancellation Creeper Decoding of Polar Codes
Ivanov F., Четвериков И. С., Kreshchuk A. et al., Proceedings of the IEEE 2022 P. 60–64
In this paper, an improvement for successive cancellation (SC) decoding is presented for polar codes. This improvement is based on applying Creeper approach that was used to decode convolutional codes. The proposed decoder combines a stack and a Fano approaches and allows to significantly decrease complexity of Successive Cancellation Fano decoder at the cost of ...
Added: January 26, 2023
A Transport Coding Gain Estimation in the Conditions of Time Limitation for Maximum Acceptable Message Delay
Krouk E., Sergeev A., Afanasev M., , in: Intelligent Decision Technologies 2019Vol. 2.: Springer, 2019. P. 89–99.
Recently, low message delay becomes more and more important. It allows the implementation of new applications and services interacting in almost real time that was impossible before. A requirement of low message delay now is a part of many communication standards such as 5G and recommendation papers of future standards such as Tactile Internet proposed by ITU-T. In ...
Added: October 29, 2019
On the Local Erasure Correction Capacity of Convolutional Codes
Ivanov F., Kreshchuk A., Zyablov V., , in: Pocceeding of the International Symposium on Information Theory and Its Applications (ISITA 2018).: Singapore: IEEE, 2018. P. 296–300.
In this paper the decoding capabilities of convolutional codes over the erasure channel are studied. More precisely we focus on local erasures correction. We present special decoders that are able to correct significantly more erasures locally than block codes of the same rate. We also present some expressions that connect the number of possible corrected erasures ...
Added: January 9, 2019
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit