UNIQUE

Non-equilibrium Information and Capacity Envelopes: Towards a Unified Information and Queueing Theory

 Coordinatore GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER 

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 Nazionalità Coordinatore Germany [DE]
 Totale costo 1˙316˙408 €
 EC contributo 1˙316˙408 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2012-StG_20111012
 Funding Scheme ERC-SG
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-12-01   -   2017-11-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER

 Organization address address: Welfengarten 1
city: HANNOVER
postcode: 30167

contact info
Titolo: Mrs.
Nome: Barbara
Cognome: Adler
Email: send email
Telefono: 495118000000

DE (HANNOVER) hostInstitution 1˙316˙408.40
2    GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER

 Organization address address: Welfengarten 1
city: HANNOVER
postcode: 30167

contact info
Titolo: Prof.
Nome: Markus
Cognome: Fidler
Email: send email
Telefono: 495118000000
Fax: 495118000000

DE (HANNOVER) hostInstitution 1˙316˙408.40

Mappa


 Word cloud

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capacity    channel    theory    communications    limits    entropy    dynamics    traffic    respectively    models    coding    data    model    delays    network    networks    queueing   

 Obiettivo del progetto (Objective)

'Dating back sixty years to the seminal works by Shannon, information theory is a cornerstone of communications. Amongst others, it's significance stems from the decoupling of data compression and transmission as accomplished by the celebrated source and channel coding theorems. The success has, however, not been brought forward to communications networks. Yet, particular advances, such as in cross-layer optimization and network coding, show the tremendous potential that may be accessible by a network information theory.

A major challenge for establishing a network information theory is due to the properties of network data traffic that is highly variable (sporadic) and delay-sensitive. In contrast, information theory mostly neglects the dynamics of information and capacity and focuses on averages, respectively, asymptotic limits. Typically, these limits can be achieved with infinitesimally small probability of error assuming, however, arbitrarily long codewords (coding delays). Queueing theory, on the other hand, is employed to analyze network delays using (stochastic) models of a network's traffic arrivals and service. To date a tight link between these models and the information theoretic concepts of entropy and channel capacity is missing.

The goal of this project is to contribute elements of a network information theory that bridge the gap towards communications (queueing) networks. To this end, we use concepts from information theory to explore the dynamics of sources and channels. Our approach envisions envelope functions of information and capacity that have the ability to model the impact of the timescale, and that converge in the limit to the entropy and the channel capacity, respectively. The model will enable queueing theoretical investigations, permitting us to make significant contributions to the field of network information theory, and to provide substantial, new insights and applications from a holistic analysis of communications networks.'

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