IAWICOM

Interference Aligned Wireless Communications

 Coordinatore IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE 

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 221˙606 €
 EC contributo 221˙606 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-01-13   -   2016-01-12

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Mr.
Nome: Shaun
Cognome: Power
Email: send email
Telefono: +44 207 594 8773
Fax: +44 207 594 8609

UK (LONDON) coordinator 221˙606.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

multiple    networks    interference    schemes    communication    alignment   

 Obiettivo del progetto (Objective)

'Interference alignment is a new radical idea that would enable a much higher data throughput than previously thought possible in multiuser wireless communications. Basically, Interference Alignment works as if each user can own half of the spectrum, regardless of the number of users. There is a great variety of applications, where Interference Alignment may be implemented including multiple-input multiple output (MIMO) networks, X networks, two-way communication networks, multihop multiflow networks, cooperative communication networks, and cellular networks,. In this project, we aim to develop new practical Interference Alignment schemes based on these applications. This project will deal with code design, performance analysis, decoding algorithms, and implementation of Interference Alignment based on multilevel coding. The outcomes of this project would vastly improve the quality and efficiency of existing communication systems, and contribute to the affirmation of Europe as the foremost leader in information and communication technologies. The resulting schemes may also reduce energy consumption and radiation, making future telecommunications more environmentally friendly.'

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